Pub Date : 2024-10-19DOI: 10.1016/j.trf.2024.10.009
Lin-Kuei Huang, Ton Lin, Kun-Feng (Ken) Wu
When adding an exclusive left-turn lane at an intersection, a transition area is needed to allow through and left-turn traffic to move into appropriate lanes smoothly. However, whether a dotted extension should be applied at such a transition area remains inconclusive. The need for recommending a dotted extension is further complicated at intersections where an approach taper partially shadows a left-turn lane. This study aims to shed light on whether dotted extensions should be recommended in a transition area and research the impacts of dotted extensions on guiding drivers from their perspectives. Scenarios with and without dotted extensions were created for a video-viewing experiment. Driver eye movement behavior and cognitive load rating served as evaluation indicators in each target scenario. Thirty participants were recruited and randomly assigned to with and without dotted extension groups. Results show that: (1) With the dotted extension, participants could focus on fewer objects and, therefore, would not need to divert their visual attention toward the surrounding vehicles. (2) The dotted extension assists through-traffic drivers in maintaining more focused attention on information critical to their driving task. (3) Dotted extensions help drivers reduce stress, mainly because of clearer indications of lane configuration. Altogether, our findings suggest that a road with dotted extensions provides better guidance in a transition area than one without dotted extensions.
{"title":"Do dotted extensions help guide drivers at a transition area of partial-shadowed left-turn lane? An investigation based on eye movement behavior and visual attention","authors":"Lin-Kuei Huang, Ton Lin, Kun-Feng (Ken) Wu","doi":"10.1016/j.trf.2024.10.009","DOIUrl":"10.1016/j.trf.2024.10.009","url":null,"abstract":"<div><div>When adding an exclusive left-turn lane at an intersection, a transition area is needed to allow through and left-turn traffic to move into appropriate lanes smoothly. However, whether a dotted extension should be applied at such a transition area remains inconclusive. The need for recommending a dotted extension is further complicated at intersections where an approach taper partially shadows a left-turn lane. This study aims to shed light on whether dotted extensions should be recommended in a transition area and research the impacts of dotted extensions on guiding drivers from their perspectives. Scenarios with and without dotted extensions were created for a video-viewing experiment. Driver eye movement behavior and cognitive load rating served as evaluation indicators in each target scenario. Thirty participants were recruited and randomly assigned to with and without dotted extension groups. Results show that: (1) With the dotted extension, participants could focus on fewer objects and, therefore, would not need to divert their visual attention toward the surrounding vehicles. (2) The dotted extension assists through-traffic drivers in maintaining more focused attention on information critical to their driving task. (3) Dotted extensions help drivers reduce stress, mainly because of clearer indications of lane configuration. Altogether, our findings suggest that a road with dotted extensions provides better guidance in a transition area than one without dotted extensions.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 834-847"},"PeriodicalIF":3.5,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-18DOI: 10.1016/j.trf.2024.10.011
Leonie Kehl , Adrian Brietzke , Rebecca Pham Xuan , Heiko Hecht
Approximately 2/3 of all people have suffered from carsickness at some point in their lives with symptoms including disorientation, headache, apathy, nausea, or even vomiting. The development and introduction of automated driving functions are expected to further increase the frequency of occurrence and the symptom severity of carsickness, in particular when the passenger’s eyes are no longer on the road during non-driving related activities. Although the symptoms associated with carsickness are unpleasant and may limit the acceptance of automated driving functions, effective and applicable countermeasures are still scarce. In the genesis of carsickness, the ability to anticipate upcoming vehicle movements may be a relevant factor. Previous studies examining the effects of anticipatory cues on carsickness, mostly using laboratory setups, revealed mixed results, some suggest a positive effect of anticipatory cues on carsickness, others do not. In the present study, we investigated the effect of anticipatory, vibrotactile stimuli on the development of motion sickness in a partially automated drive on a test track. In a repeated measures design, 37 participants experienced two 17-minute stop-and-go rides. During the ride, they watched a movie and were asked about their current motion sickness level every minute using the Fast Motion Sickness Scale (FMS). In the intervention condition, participants also received vibrotactile cues about upcoming braking and acceleration via a vibrotactile belt one second in advance of the event. The results indicate an alleviating effect of vibrotactile cues on motion sickness.
{"title":"Anticipatory vibrotactile cues reduce motion sickness in car passengers during stop-and-go driving","authors":"Leonie Kehl , Adrian Brietzke , Rebecca Pham Xuan , Heiko Hecht","doi":"10.1016/j.trf.2024.10.011","DOIUrl":"10.1016/j.trf.2024.10.011","url":null,"abstract":"<div><div>Approximately 2/3 of all people have suffered from carsickness at some point in their lives with symptoms including disorientation, headache, apathy, nausea, or even vomiting. The development and introduction of automated driving functions are expected to further increase the frequency of occurrence and the symptom severity of carsickness, in particular when the passenger’s eyes are no longer on the road during non-driving related activities. Although the symptoms associated with carsickness are unpleasant and may limit the acceptance of automated driving functions, effective and applicable countermeasures are still scarce. In the genesis of carsickness, the ability to anticipate upcoming vehicle movements may be a relevant factor. Previous studies examining the effects of anticipatory cues on carsickness, mostly using laboratory setups, revealed mixed results, some suggest a positive effect of anticipatory cues on carsickness, others do not. In the present study, we investigated the effect of anticipatory, vibrotactile stimuli on the development of motion sickness in a partially automated drive on a test track. In a repeated measures design, 37 participants experienced two 17-minute stop-and-go rides. During the ride, they watched a movie and were asked about their current motion sickness level every minute using the Fast Motion Sickness Scale (FMS). In the intervention condition, participants also received vibrotactile cues about upcoming braking and acceleration via a vibrotactile belt one second in advance of the event. The results indicate an alleviating effect of vibrotactile cues on motion sickness.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 791-802"},"PeriodicalIF":3.5,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-18DOI: 10.1016/j.trf.2024.10.006
Tram Thi Minh Tran, Callum Parker
Recent research has increasingly focused on how autonomous vehicles (AVs) communicate with pedestrians in complex traffic situations involving multiple vehicles and pedestrians. VR is emerging as an effective tool to simulate these multi-entity scenarios, offering a safe and controlled study environment. Despite its growing use, there is a lack of thorough investigation into the effectiveness of these VR simulations, leaving a notable gap in documented insights and lessons. This research undertook a retrospective analysis of two distinct VR-based studies: one focusing on multiple AV scenarios (N = 32) and the other on multiple pedestrian scenarios (N = 25). Central to our examination are the participants’ sense of presence and their crossing behaviour. The findings highlighted key factors that either enhance or diminish the sense of presence in each simulation, providing considerations for future improvements. Furthermore, they underscore the influence of controlled scenarios on crossing behaviour and interactions with AVs, advocating for the exploration of more natural and interactive simulations that better reflect real-world AV and pedestrian dynamics. Through this study, we set a groundwork for advancing VR simulators to study complex interactions between AVs and pedestrians.
{"title":"Advancing VR simulators for autonomous vehicle–pedestrian interactions: A focus on multi-entity scenarios","authors":"Tram Thi Minh Tran, Callum Parker","doi":"10.1016/j.trf.2024.10.006","DOIUrl":"10.1016/j.trf.2024.10.006","url":null,"abstract":"<div><div>Recent research has increasingly focused on how autonomous vehicles (AVs) communicate with pedestrians in complex traffic situations involving multiple vehicles and pedestrians. VR is emerging as an effective tool to simulate these multi-entity scenarios, offering a safe and controlled study environment. Despite its growing use, there is a lack of thorough investigation into the effectiveness of these VR simulations, leaving a notable gap in documented insights and lessons. This research undertook a retrospective analysis of two distinct VR-based studies: one focusing on multiple AV scenarios (N = 32) and the other on multiple pedestrian scenarios (N = 25). Central to our examination are the participants’ sense of presence and their crossing behaviour. The findings highlighted key factors that either enhance or diminish the sense of presence in each simulation, providing considerations for future improvements. Furthermore, they underscore the influence of controlled scenarios on crossing behaviour and interactions with AVs, advocating for the exploration of more natural and interactive simulations that better reflect real-world AV and pedestrian dynamics. Through this study, we set a groundwork for advancing VR simulators to study complex interactions between AVs and pedestrians.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 775-790"},"PeriodicalIF":3.5,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-18DOI: 10.1016/j.trf.2024.10.008
Jing Cai , Dasu Zeng , Fengxiang Guo , Ran Zhang , Gen Li , Cheng Wang
Stacked directional signs are widely used on Chinese roads, but research on them is relatively scarce. This study aimed to investigate the effects of the Language used, Layout format, Amount of information, and use of Separating lines on the visual cognition of stacked directional signs. A visual cognition experiment involving thirty-two drivers was conducted, and the reaction time and response accuracy were recorded. The results revealed that a greater Amount of information was correlated with increased visual cognition reaction times. Bilingual signs exhibited significantly greater reaction times compared to monolingual counterparts, while a simpler Layout format resulted in shorter reaction times. The Language used, Amount of information, Layout format, and use of Separating lines were in decreasing order of importance for visual cognition reaction time, with a high Amount of information having the greatest effect. The implications of these findings can be applied to the design and optimisation of stacked directional signs.
{"title":"How do design factors of stacked directional signs affect their visual cognition?","authors":"Jing Cai , Dasu Zeng , Fengxiang Guo , Ran Zhang , Gen Li , Cheng Wang","doi":"10.1016/j.trf.2024.10.008","DOIUrl":"10.1016/j.trf.2024.10.008","url":null,"abstract":"<div><div>Stacked directional signs are widely used on Chinese roads, but research on them is relatively scarce. This study aimed to investigate the effects of the Language used, Layout format, Amount of information, and use of Separating lines on the visual cognition of stacked directional signs. A visual cognition experiment involving thirty-two drivers was conducted, and the reaction time and response accuracy were recorded. The results revealed that a greater Amount of information was correlated with increased visual cognition reaction times. Bilingual signs exhibited significantly greater reaction times compared to monolingual counterparts, while a simpler Layout format resulted in shorter reaction times. The Language used, Amount of information, Layout format, and use of Separating lines were in decreasing order of importance for visual cognition reaction time, with a high Amount of information having the greatest effect. The implications of these findings can be applied to the design and optimisation of stacked directional signs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 760-774"},"PeriodicalIF":3.5,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142444544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-16DOI: 10.1016/j.trf.2024.09.013
Luigi Tinella , Antonella Lopez , Alessandro Oronzo Caffò , Sjaan Koppel , Andrea Bosco
The present study aimed to investigate the association between the Big Five personality dimensions with the susceptibility of distracted driving (i.e., engagement in voluntary distraction, attitudes toward distraction, and susceptibility to involuntary distraction) comparing samples of Australian and Italian drivers. Distracted driving remains a significant global challenge to road safety, contributing to the occurrence of motor-vehicle crashes with serious consequences on public and environmental health. Despite efforts to explore factors underlying distracted driving, less is known on the role of the driver’s personality in affecting the tendency to report distraction. Five hundred and fifty-one participants (55 % females; age range: 18–82 years; M ± sd: 40.4 ± 17.5) from Australia and Italy completed an online survey including questionnaires on personality and distracted driving. The invariance of the tested model was assessed through a multigroup path analysis considering personality traits as predictors and different facets of the susceptibility to distracted driving as outcomes, in a unique model. The effects of age, gender, and education were also controlled in the analyses. Results showed differences among nationality groups in personality traits as well as in susceptibility to distraction. The tested model showed invariance across nationality groups, suggesting positive effects of Neuroticism, Extraversion, and Agreeableness on all dimensions of susceptibility to distracted driving. Furthermore, Conscientiousness was found to affect attitudes toward distraction, perceived control, and perceived social norms. Finally, the tendency to report susceptibility to involuntary distraction was influenced by Openness. These results provide insights on the usefulness of assessing personality profiles to achieve road safety improvements and represent a valuable source of knowledge for the study of individual risk exposure.
{"title":"Susceptibility to distracted driving: The role of personality and individual factors","authors":"Luigi Tinella , Antonella Lopez , Alessandro Oronzo Caffò , Sjaan Koppel , Andrea Bosco","doi":"10.1016/j.trf.2024.09.013","DOIUrl":"10.1016/j.trf.2024.09.013","url":null,"abstract":"<div><div>The present study aimed to investigate the association between the Big Five personality dimensions with the susceptibility of distracted driving (i.e., engagement in voluntary distraction, attitudes toward distraction, and susceptibility to involuntary distraction) comparing samples of Australian and Italian drivers. Distracted driving remains a significant global challenge to road safety, contributing to the occurrence of motor-vehicle crashes with serious consequences on public and environmental health. Despite efforts to explore factors underlying distracted driving, less is known on the role of the driver’s personality in affecting the tendency to report distraction. Five hundred and fifty-one participants (55 % females; age range: 18–82 years; M ± sd: 40.4 ± 17.5) from Australia and Italy completed an online survey including questionnaires on personality and distracted driving. The invariance of the tested model was assessed through a multigroup path analysis considering personality traits as predictors and different facets of the susceptibility to distracted driving as outcomes, in a unique model. The effects of age, gender, and education were also controlled in the analyses. Results showed differences among nationality groups in personality traits as well as in susceptibility to distraction. The tested model showed invariance across nationality groups, suggesting positive effects of Neuroticism, Extraversion, and Agreeableness on all dimensions of susceptibility to distracted driving. Furthermore, Conscientiousness was found to affect attitudes toward distraction, perceived control, and perceived social norms. Finally, the tendency to report susceptibility to involuntary distraction was influenced by Openness. These results provide insights on the usefulness of assessing personality profiles to achieve road safety improvements and represent a valuable source of knowledge for the study of individual risk exposure.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 744-759"},"PeriodicalIF":3.5,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-15DOI: 10.1016/j.trf.2024.09.025
Chelsea A. DeGuzman, Birsen Donmez
Trust has been shown to influence whether drivers use advanced driver assistance systems (ADAS) appropriately, and thus understanding the factors influencing trust in ADAS may help inform interventions to support appropriate use. We surveyed 369 drivers to investigate the factors that predict trust in ADAS for current users. Participants were required to have experience using ADAS, specifically systems that simultaneously control longitudinal and lateral movement of the vehicle (participants reported using adaptive cruise control and lane keeping assist systems at the same time in their vehicle at least 1–4 times per month). In addition to assessing trust, the survey included questions to assess objective knowledge about ADAS limitations, self-reported understanding of ADAS (i.e., how correct and complete drivers thought their understanding of ADAS was), number of methods they had previously used to learn about ADAS, frequency of ADAS use, familiarity with technology, propensity to trust technology, and demographics. Regression results showed that self-reported understanding, but not objective knowledge, predicted trust in ADAS, with higher self-reported understanding being associated with higher trust. Self-reported understanding was not correlated with objective knowledge; participants rated their self-reported understanding highly, but only identified an average of 42% of the system limitations included in the survey. Propensity to trust technology was also a significant predictor of trust in ADAS, with higher propensity to trust technology in general associated with higher trust in ADAS. These findings suggest that interventions aimed at supporting appropriate trust in ADAS could be designed to increase drivers’ awareness of potential gaps in their understanding and adjust expectations of ADAS for those with a high propensity to trust technology.
{"title":"Propensity to trust technology and subjective, but not objective, knowledge predict trust in advanced driver assistance systems","authors":"Chelsea A. DeGuzman, Birsen Donmez","doi":"10.1016/j.trf.2024.09.025","DOIUrl":"10.1016/j.trf.2024.09.025","url":null,"abstract":"<div><div>Trust has been shown to influence whether drivers use advanced driver assistance systems (ADAS) appropriately, and thus understanding the factors influencing trust in ADAS may help inform interventions to support appropriate use. We surveyed 369 drivers to investigate the factors that predict trust in ADAS for current users. Participants were required to have experience using ADAS, specifically systems that simultaneously control longitudinal and lateral movement of the vehicle (participants reported using adaptive cruise control and lane keeping assist systems at the same time in their vehicle at least 1–4 times per month). In addition to assessing trust, the survey included questions to assess objective knowledge about ADAS limitations, self-reported understanding of ADAS (i.e., how correct and complete drivers thought their understanding of ADAS was), number of methods they had previously used to learn about ADAS, frequency of ADAS use, familiarity with technology, propensity to trust technology, and demographics. Regression results showed that self-reported understanding, but not objective knowledge, predicted trust in ADAS, with higher self-reported understanding being associated with higher trust. Self-reported understanding was not correlated with objective knowledge; participants rated their self-reported understanding highly, but only identified an average of 42% of the system limitations included in the survey. Propensity to trust technology was also a significant predictor of trust in ADAS, with higher propensity to trust technology in general associated with higher trust in ADAS. These findings suggest that interventions aimed at supporting appropriate trust in ADAS could be designed to increase drivers’ awareness of potential gaps in their understanding and adjust expectations of ADAS for those with a high propensity to trust technology.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 726-743"},"PeriodicalIF":3.5,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-15DOI: 10.1016/j.trf.2024.09.026
Chantal Himmels , Arben Parduzi , Andreas Löcken , Valentin Protschky , Joost Venrooij , Andreas Riener
The absence of physical accident risk in driving simulation, which allows for safely studying critical driving situations, also reduces the driver's risk perception, which may result in unrealistic driver behavior. Validation studies in this context are rare for ethical reasons, making it difficult to assess the extent of this issue at present. The present study addresses this gap by utilizing naturalistic driving data. Four critical cut-in situations on German highways were extracted from naturalistic data and replicated in a driving simulator study with N = 58 participants. Both in-situ self-ratings on subjective criticality and post-hoc video-based ratings (from the driver and objective observers), as well as presence ratings, were collected to supplement driver behavior. Although driver reactions in the simulator and the field were not equivalent in absolute terms, drivers in both the simulation and the real world exhibited accident-avoidance behavior through braking reactions, indicating relative validity. No clear mediating role of the sense of presence towards a more careful driver behavior was found. This work shows that drivers exhibit accident-avoiding behavior in the simulator and tend to react to hazards in the simulator similarly as they would in a real situation, while absolute numerical values should only be interpreted with caution.
{"title":"Validating risk behavior in driving simulation using naturalistic driving data","authors":"Chantal Himmels , Arben Parduzi , Andreas Löcken , Valentin Protschky , Joost Venrooij , Andreas Riener","doi":"10.1016/j.trf.2024.09.026","DOIUrl":"10.1016/j.trf.2024.09.026","url":null,"abstract":"<div><div>The absence of physical accident risk in driving simulation, which allows for safely studying critical driving situations, also reduces the driver's risk perception, which may result in unrealistic driver behavior. Validation studies in this context are rare for ethical reasons, making it difficult to assess the extent of this issue at present. The present study addresses this gap by utilizing naturalistic driving data. Four critical cut-in situations on German highways were extracted from naturalistic data and replicated in a driving simulator study with <em>N</em> = 58 participants. Both in-situ self-ratings on subjective criticality and post-hoc video-based ratings (from the driver and objective observers), as well as presence ratings, were collected to supplement driver behavior. Although driver reactions in the simulator and the field were not equivalent in absolute terms, drivers in both the simulation and the real world exhibited accident-avoidance behavior through braking reactions, indicating relative validity. No clear mediating role of the sense of presence towards a more careful driver behavior was found. This work shows that drivers exhibit accident-avoiding behavior in the simulator and tend to react to hazards in the simulator similarly as they would in a real situation, while absolute numerical values should only be interpreted with caution.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 710-725"},"PeriodicalIF":3.5,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-11DOI: 10.1016/j.trf.2024.10.004
Yong Peng , Xin Lou , Honggang Wang , Xinghua Wang , Guoliang Xiang , Xianhui Wu , Honghao Zhang , Shengen Yi , Tao Li
As the contradictions among the human-vehicle-environment elements in road traffic systems intensify, the resulting traffic safety issues are becoming increasingly severe. Emotions, as critical psychological factors influencing safe driving, directly impact drivers’ perceptions and judgments of surrounding information. Simultaneously, potential risks during the driving process can affect drivers’ decisions and driving behavior. On the basis of the definition of dimensional emotions, this study analyzes the impact of different valence, arousal, and risk level scenarios on drivers’ collision avoidance behavior. A total of 21 drivers aged 18 to 50 years, with driving experience ranging from 1 to 10 years, participated in a simulated driving experiment. This study employs the decision tree (DT) algorithm to define the quantitative relationship between the occurrence of different driving behaviors and their influencing factors. It predicts vehicle avoidance behavior in two emergency conditions to determine whether collision avoidance can be achieved. The results indicate that the model’s prediction accuracy improves when emotion and risk level information are combined, reaching 88.89 %. This is a 5.56 % improvement over the model using only emotion information and a 2.53 % improvement over the model using only risk level information. Compared with the impact of subjective emotional factors on driving behavior, risk scenarios exhibit a more stable trend in influencing driving behavior. Under the interaction of emotions and risk factors, the accuracy and generalization ability of the driving behavior prediction model based on the Decision Tree (DT) algorithm have been greatly improved. This research provides a theoretical basis for addressing adverse driving behavior caused by driver emotions and analyzing the factors influencing collision avoidance processes.
{"title":"Driving behavior in Hazardous situations: The interplay between risk scenarios and dimensional emotions","authors":"Yong Peng , Xin Lou , Honggang Wang , Xinghua Wang , Guoliang Xiang , Xianhui Wu , Honghao Zhang , Shengen Yi , Tao Li","doi":"10.1016/j.trf.2024.10.004","DOIUrl":"10.1016/j.trf.2024.10.004","url":null,"abstract":"<div><div>As the contradictions among the human-vehicle-environment elements in road traffic systems intensify, the resulting traffic safety issues are becoming increasingly severe. Emotions, as critical psychological factors influencing safe driving, directly impact drivers’ perceptions and judgments of surrounding information. Simultaneously, potential risks during the driving process can affect drivers’ decisions and driving behavior. On the basis of the definition of dimensional emotions, this study analyzes the impact of different valence, arousal, and risk level scenarios on drivers’ collision avoidance behavior. A total of 21 drivers aged 18 to 50 years, with driving experience ranging from 1 to 10 years, participated in a simulated driving experiment. This study employs the decision tree (DT) algorithm to define the quantitative relationship between the occurrence of different driving behaviors and their influencing factors. It predicts vehicle avoidance behavior in two emergency conditions to determine whether collision avoidance can be achieved. The results indicate that the model’s prediction accuracy improves when emotion and risk level information are combined, reaching 88.89 %. This is a 5.56 % improvement over the model using only emotion information and a 2.53 % improvement over the model using only risk level information. Compared with the impact of subjective emotional factors on driving behavior, risk scenarios exhibit a more stable trend in influencing driving behavior. Under the interaction of emotions and risk factors, the accuracy and generalization ability of the driving behavior prediction model based on the Decision Tree (DT) algorithm have been greatly improved. This research provides a theoretical basis for addressing adverse driving behavior caused by driver emotions and analyzing the factors influencing collision avoidance processes.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 695-709"},"PeriodicalIF":3.5,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper investigates the intention to use shared autonomous vehicles in Brussels before and after an experience in virtual reality, in which a scenario of a city with shared autonomous vehicles was visualized taking into account transformations that are not possible to implement in real life such as urban form changes. 51 participants took part in a quasi-experiment and their acceptance of autonomous vehicles was measured before and after, using surveys based on the unified theory of acceptance and use of technology (UTAUT). Using partial least squares structural equation modeling, we model user acceptance pre- and post-VR experience and compare the change in influencing factors. Results show that, under the conditions we defined, the intention to use autonomous shuttles was influenced by the virtual reality experience, as there was an increase in the behavioral intention and a change in the significant predictors. Overall, we found evidence that the virtual reality experience did influence the acceptance of autonomous vehicles, and can then be an effective test bed to visualize future impacts of autonomous vehicles that are impossible to project in real life. Our study constitutes then a first step into exploring potential usages of virtual reality to project long-term visions of future developments of cities with shared autonomous vehicles.
{"title":"Exploring the influence of a virtual reality experience on user acceptance of shared autonomous vehicles: A quasi-experimental study in Brussels","authors":"Fatima-Zahra Debbaghi, Evy Rombaut, Lieselot Vanhaverbeke","doi":"10.1016/j.trf.2024.10.003","DOIUrl":"10.1016/j.trf.2024.10.003","url":null,"abstract":"<div><div>This paper investigates the intention to use shared autonomous vehicles in Brussels before and after an experience in virtual reality, in which a scenario of a city with shared autonomous vehicles was visualized taking into account transformations that are not possible to implement in real life such as urban form changes. 51 participants took part in a quasi-experiment and their acceptance of autonomous vehicles was measured before and after, using surveys based on the unified theory of acceptance and use of technology (UTAUT). Using partial least squares structural equation modeling, we model user acceptance pre- and post-VR experience and compare the change in influencing factors. Results show that, under the conditions we defined, the intention to use autonomous shuttles was influenced by the virtual reality experience, as there was an increase in the behavioral intention and a change in the significant predictors. Overall, we found evidence that the virtual reality experience did influence the acceptance of autonomous vehicles, and can then be an effective test bed to visualize future impacts of autonomous vehicles that are impossible to project in real life. Our study constitutes then a first step into exploring potential usages of virtual reality to project long-term visions of future developments of cities with shared autonomous vehicles.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 674-694"},"PeriodicalIF":3.5,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-09DOI: 10.1016/j.trf.2024.10.001
Ola Svenson , Ilkka Salo , Inés Duce Gimeno
One way of controlling global warming is to substitute fuel driven cars with electric cars. Electric vehicles need to be charged. For maximal efficiency the charging times should be as short as possible. In the US charging stations are classified as Level 1 charging 5–10 miles/h, Level 2 25 miles/h and Fast DCFC stations 150–1000 miles/h. We asked participants to select one of two upgrades of charging stations that would save most charging time for a vehicle. The alternatives were upgrading L1 (5miles/h) to L2 (25 miles/h) or L2 (25miles/h) to Fast (250 miles/h). In all, 86% of the participants wanted to upgrade to a Fast station, which objectively saves less time than L1 to L2. The second study replicated the first study and 91% of the participants wanted to upgrade to the Fast (250) station. The third study offered alternatives with smaller objective efficiency differences than the earlier studies: upgrading L2 (30) to Fast (150) and Fast (150) to Fast (600) and 68% of the participants preferred the second incorrect alternative. Verbal justifications showed that many participants seemed to assume that differences in charging time are proportional to charging time saved. The results have practical implications and illustrate the difficulty to process reciprocal variables leading to incorrect decisions. Finally, we suggest two strategies for counteracting biased intuitive decision making when charging efficiencies are compared.
{"title":"Which electric vehicle charging station to upgrade? Biased judgments based on differences in station efficiency","authors":"Ola Svenson , Ilkka Salo , Inés Duce Gimeno","doi":"10.1016/j.trf.2024.10.001","DOIUrl":"10.1016/j.trf.2024.10.001","url":null,"abstract":"<div><div>One way of controlling global warming is to substitute fuel driven cars with electric cars. Electric vehicles need to be charged. For maximal efficiency the charging times should be as short as possible. In the US charging stations are classified as Level 1 charging 5–10 miles/h, Level 2 25 miles/h and Fast DCFC stations 150–1000 miles/h. We asked participants to select one of two upgrades of charging stations that would save most charging time for a vehicle. The alternatives were upgrading L1 (5miles/h) to L2 (25 miles/h) or L2 (25miles/h) to Fast (250 miles/h). In all, 86% of the participants wanted to upgrade to a Fast station, which objectively saves less time than L1 to L2. The second study replicated the first study and 91% of the participants wanted to upgrade to the Fast (250) station. The third study offered alternatives with smaller objective efficiency differences than the earlier studies: upgrading L2 (30) to Fast (150) and Fast (150) to Fast (600) and 68% of the participants preferred the second incorrect alternative. Verbal justifications showed that many participants seemed to assume that differences in charging time are proportional to charging time saved. The results have practical implications and illustrate the difficulty to process reciprocal variables leading to incorrect decisions. Finally, we suggest two strategies for counteracting biased intuitive decision making when charging efficiencies are compared.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"107 ","pages":"Pages 668-673"},"PeriodicalIF":3.5,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}