Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101331
Marco Guerrieri , Nicola Pugno
The behaviour of ants has inspired various scientific disciplines due to their ability to solve even complex problems. During their movement, ants generate trail networks that share many characteristics with vehicular traffic on highways. This research aims to estimate the values of traffic flow variables (mean speed, density, and flow) in ant trails without intersections or branches that could alter the dynamics of each ant. A case study in an outdoor environment was analyzed. The macroscopic traffic flow variables of interest were estimated using the deep learning method and the YOLO detection algorithm. The results show that ants adopt specific traffic strategies (platoon formation, quasi-constant speed and no overtaking maneuvers) that help avoid jam phenomena, even at high density. Emerging technologies, including smart roads, communication systems, and Cooperative and Automated Vehicles (CAVs), allow us to speculate on the use of traffic control systems inspired by ant behaviour to avoid the risk of congestion even at high traffic volumes, as demonstrated by the preliminary results of this research.
{"title":"ANTi-JAM solutions for smart roads: Ant-inspired traffic flow rules under CAVs environment","authors":"Marco Guerrieri , Nicola Pugno","doi":"10.1016/j.trip.2025.101331","DOIUrl":"10.1016/j.trip.2025.101331","url":null,"abstract":"<div><div>The behaviour of ants has inspired various scientific disciplines due to their ability to solve even complex problems. During their movement, ants generate trail networks that share many characteristics with vehicular traffic on highways. This research aims to estimate the values of traffic flow variables (mean speed, density, and flow) in ant trails without intersections or branches that could alter the dynamics of each ant. A case study in an outdoor environment was analyzed. The macroscopic traffic flow variables of interest were estimated using the deep learning method and the YOLO detection algorithm. The results show that ants adopt specific traffic strategies (platoon formation, quasi-constant speed and no overtaking maneuvers) that help avoid jam phenomena, even at high density. Emerging technologies, including smart roads, communication systems, and Cooperative and Automated Vehicles (CAVs), allow us to speculate on the use of traffic control systems inspired by ant behaviour to avoid the risk of congestion even at high traffic volumes, as demonstrated by the preliminary results of this research.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101331"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101338
Paulo Chenrrim, Susana Relvas
Rail transport has a high potential for the development of countries and their economies and is aligned with the policies associated with the energy transition. This study addresses the need for support tools to assess the potential of rail freight transport on high-speed lines. Our motivation stems from the fact that this is still an under-explored topic and the importance it can have for the efficiency of the transport and logistics systems. The methodology in this article is based on the use of Data Envelopment Analysis (DEA) through the BCC (Banker, Charnes, and Cooper) model and VRS (Variable Returns Scale) approach with an input orientation and the global Malmquist Productivity Index (MPI) to assess the efficiency of the freight transport option on high-speed networks, with the aim of contributing to more informed decision-making.
The proposed methodology was applied to the Portuguese context. We found that increasing train speed can increase the overall efficiency score of the Decision-Making Units (DMUs) by 21 percentage points compared to a scenario without this input, thus boosting the technical efficiency of freight railway companies. This result, while cautious, highlights the importance of considering various inputs to optimise the performance of these companies.
{"title":"A data envelopment analysis approach for evaluating high-speed freight transportation efficiency","authors":"Paulo Chenrrim, Susana Relvas","doi":"10.1016/j.trip.2025.101338","DOIUrl":"10.1016/j.trip.2025.101338","url":null,"abstract":"<div><div>Rail transport has a high potential for the development of countries and their economies and is aligned with the policies associated with the energy transition. This study addresses the need for support tools to assess the potential of rail freight transport on high-speed lines. Our motivation stems from the fact that this is still an under-explored topic and the importance it can have for the efficiency of the transport and logistics systems. The methodology in this article is based on the use of Data Envelopment Analysis (DEA) through the BCC (Banker, Charnes, and Cooper) model and VRS (Variable Returns Scale) approach with an input orientation and the global Malmquist Productivity Index (MPI) to assess the efficiency of the freight transport option on high-speed networks, with the aim of contributing to more informed decision-making.</div><div>The proposed methodology was applied to the Portuguese context. We found that increasing train speed can increase the overall efficiency score of the Decision-Making Units (DMUs) by 21 percentage points compared to a scenario without this input, thus boosting the technical efficiency of freight railway companies. This result, while cautious, highlights the importance of considering various inputs to optimise the performance of these companies.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101338"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101312
Jessica Boakye, Egemen Okte
This study addresses the need to evaluate the social sustainability of pavement management decisions, particularly during the use and maintenance stages. While Life Cycle Assessment (LCA) and Life Cycle Cost Analysis (LCCA) are well-established for assessing environmental and economic impacts, Social Life Cycle Assessment (S-LCA) remains understudied for pavements, especially within the context of pavement management. This research introduces a methodology using the Capability Approach to quantify social impacts, emphasizing their importance, relevance, and influenceability. The resulting framework provides a working list of key social impacts such as fatalities, bodily health, mobility, comfort, environmental emissions, financial impact, and equity. These impacts are particularly relevant during the use and maintenance stages of pavement life cycle, where management decisions directly affect road users and surrounding communities. A case study illustrates the application of this framework, analyzing pavement conditions and their social impacts on communities. This study offers a structured approach for integrating social sustainability into pavement management decisions.
{"title":"Which impacts matter for pavement management decisions? Quantifying social sustainability based on a capability approach","authors":"Jessica Boakye, Egemen Okte","doi":"10.1016/j.trip.2024.101312","DOIUrl":"10.1016/j.trip.2024.101312","url":null,"abstract":"<div><div>This study addresses the need to evaluate the social sustainability of pavement management decisions, particularly during the use and maintenance stages. While Life Cycle Assessment (LCA) and Life Cycle Cost Analysis (LCCA) are well-established for assessing environmental and economic impacts, Social Life Cycle Assessment (S-LCA) remains understudied for pavements, especially within the context of pavement management. This research introduces a methodology using the Capability Approach to quantify social impacts, emphasizing their importance, relevance, and influenceability. The resulting framework provides a working list of key social impacts such as fatalities, bodily health, mobility, comfort, environmental emissions, financial impact, and equity. These impacts are particularly relevant during the use and maintenance stages of pavement life cycle, where management decisions directly affect road users and surrounding communities. A case study illustrates the application of this framework, analyzing pavement conditions and their social impacts on communities. This study offers a structured approach for integrating social sustainability into pavement management decisions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101312"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101303
Karl Kim, Louise K. Comfort, Nicole Boothman-Shepard, Andrew Duncan
{"title":"Dispatches from the field: Takeaways from the UNESCO-IOC global tsunami symposium","authors":"Karl Kim, Louise K. Comfort, Nicole Boothman-Shepard, Andrew Duncan","doi":"10.1016/j.trip.2024.101303","DOIUrl":"10.1016/j.trip.2024.101303","url":null,"abstract":"","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101303"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101292
Hakan Yilmazkuday
This paper investigates the effects of wearing a face mask on fighting against the coronavirus disease 2019 (COVID-19). The formal analysis is achieved by using a difference-in-difference design, where U.S. county-level data on changes in COVID-19 cases or deaths are regressed on lagged changes in social interaction of people measured by Google mobility. The main contribution is achieved by distinguishing between the effects of social interaction on COVID-19 in different U.S. counties based on the corresponding share of people wearing a face mask determined by Dynata surveys. After controlling for county-specific and time-specific factors, the results show that social interaction increases both COVID-19 cases and deaths across U.S. counties, unless more than (or equal to ) 85% of people in a county “always” wear a face mask. It is implied that people can have social interactions without any statistically significant effects on the spread of COVID-19, if a community-wide wearing of face masks can be achieved.
{"title":"Fighting against COVID-19 requires wearing a face mask by not some but all","authors":"Hakan Yilmazkuday","doi":"10.1016/j.trip.2024.101292","DOIUrl":"10.1016/j.trip.2024.101292","url":null,"abstract":"<div><div>This paper investigates the effects of wearing a face mask on fighting against the coronavirus disease 2019 (COVID-19). The formal analysis is achieved by using a difference-in-difference design, where U.S. county-level data on changes in COVID-19 cases or deaths are regressed on lagged changes in social interaction of people measured by Google mobility. The main contribution is achieved by distinguishing between the effects of social interaction on COVID-19 in different U.S. counties based on the corresponding share of people wearing a face mask determined by Dynata surveys. After controlling for county-specific and time-specific factors, the results show that social interaction increases both COVID-19 cases and deaths across U.S. counties, unless more than (or equal to ) 85% of people in a county “always” wear a face mask. It is implied that people can have social interactions without any statistically significant effects on the spread of COVID-19, if a community-wide wearing of face masks can be achieved.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101292"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101304
Szabolcs Prónay, Miklós Lukovics, Tamás Ujházi
The impending ubiquity of self-driving cars promises profound societal change, making public acceptance crucial. However, most studies focus on the general population, particularly those familiar with driving and technology, neglecting teenagers’ views. Given their significant exposure to this upcoming auto-revolution and uninfluenced driving habits, understanding their perspective is vital. Our research, targeting teenagers aged 14–19, employs a visualized conjoint method built upon the UTAUT (unified theory of acceptance and use of technology) framework. With this method we were able to measure not just agreement with attitudinal statements, but rather grasp real preferences, as respondents were asked to rank concrete level 5 autonomous vehicles with specific attributes. Although this age group may be considered reckless and self-assertive, our results suggest the opposite as safety proved to be paramount for them, while social influence and recommendation proved to be less significant This offers valuable insights for future autonomous vehicle strategies catering to the next generation.
{"title":"Teenage dreams of self-driving cars: Findings of a UTAUT-based conjoint analysis among the 14–19 age group","authors":"Szabolcs Prónay, Miklós Lukovics, Tamás Ujházi","doi":"10.1016/j.trip.2024.101304","DOIUrl":"10.1016/j.trip.2024.101304","url":null,"abstract":"<div><div>The impending ubiquity of self-driving cars promises profound societal change, making public acceptance crucial. However, most studies focus on the general population, particularly those familiar with driving and technology, neglecting teenagers’ views. Given their significant exposure to this upcoming auto-revolution and uninfluenced driving habits, understanding their perspective is vital. Our research, targeting teenagers aged 14–19, employs a visualized conjoint method built upon the UTAUT (unified theory of acceptance and use of technology) framework. With this method we were able to measure not just agreement with attitudinal statements, but rather grasp real preferences, as respondents were asked to rank concrete level 5 autonomous vehicles with specific attributes. Although this age group may be considered reckless and self-assertive, our results suggest the opposite as safety proved to be paramount for them, while social influence and recommendation proved to be less significant This offers valuable insights for future autonomous vehicle strategies catering to the next generation.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101304"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2025.101340
Thijs Bon, Matthew Bruno, Niels van Oort
Reducing transport poverty can improve well-being and expand employment opportunities. This study investigates the relevance of socio-demographic and urban density predictors in relation to transport poverty contributor metrics for neighborhoods in the Amsterdam metropolitan area. Utilizing a spatial econometric framework, we assess the relevance of these predictors across three dimensions of transport poverty: mobility, accessibility, and affordability. Contrary to existing literature, our findings indicate that the demographic factors of gender and younger age are not significant predictors at the neighborhood level. Furthermore, the research identified a correlation between higher urban density and transport poverty. While higher urban density is associated with decreased car ownership rates and increased accessibility, it simultaneously correlates with higher public transport costs relative to income. Additionally, the method revealed a high cumulative spatial effect of income in connection with transport affordability, indicating spatially extensive income-related transport affordability disparities. Our research offers new insights into factors related to neighborhood-level transport poverty. The observed spatial dynamics call for targeted strategies that address the unique challenges for implementing equitable transport policies in both densely populated urban areas and less urbanized regions.
{"title":"Three-dimensional transport poverty and its socio-demographic and urban density predictors: Spatial regression analyses of neighborhoods in the Amsterdam metropolitan area","authors":"Thijs Bon, Matthew Bruno, Niels van Oort","doi":"10.1016/j.trip.2025.101340","DOIUrl":"10.1016/j.trip.2025.101340","url":null,"abstract":"<div><div>Reducing transport poverty can improve well-being and expand employment opportunities. This study investigates the relevance of socio-demographic and urban density predictors in relation to transport poverty contributor metrics for neighborhoods in the Amsterdam metropolitan area. Utilizing a spatial econometric framework, we assess the relevance of these predictors across three dimensions of transport poverty: mobility, accessibility, and affordability. Contrary to existing literature, our findings indicate that the demographic factors of gender and younger age are not significant predictors at the neighborhood level. Furthermore, the research identified a correlation between higher urban density and transport poverty. While higher urban density is associated with decreased car ownership rates and increased accessibility, it simultaneously correlates with higher public transport costs relative to income. Additionally, the method revealed a high cumulative spatial effect of income in connection with transport affordability, indicating spatially extensive income-related transport affordability disparities. Our research offers new insights into factors related to neighborhood-level transport poverty. The observed spatial dynamics call for targeted strategies that address the unique challenges for implementing equitable transport policies in both densely populated urban areas and less urbanized regions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101340"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101319
Rabia I. Kodapanakkal , Caspar A.S. Pouw , Antal Haans , Jaap Ham , Gunter Bombaerts , Alessandro Corbetta , Andrej Dameski , Andreas Spahn , Federico Toschi
A deeper understanding of pedestrian dynamics is essential to improve crowd flows in public spaces such as train stations. It is essential to understand both the physical and the psychological processes present in this context. However, current research on train boarding behavior is limited in scope and mainly focuses on how group level variables such as number of boarders/deboarders influence train boarding efficiency. Viewing pedestrian dynamics through a psychological lens is important for a detailed understanding of the train boarding context and to recognize target areas for improvement. At Dutch train stations, boarders follow a social norm of waiting at the train door until deboarding is complete. Although people generally adhere to this norm, the way it is executed may not be optimal for deboarding efficiency. We investigate how waiting boarders form a deboarding channel (a corridor where deboarders exit the train) and how this channel in turn influences the efficiency of deboarding. Analyzing a dataset with 3278 boarding events at Utrecht Centraal Station in the Netherlands from 2017 to 2020 (subset of a trajectory dataset capturing 100,000 trajectories per day), we found that higher numbers of boarders and a higher ratio of boarders to deboarders, reduced the width of the deboarding channel, and a lower width was associated with lower deboarding efficiency. These results shift the focus from group level variables to identifying macroscopic structures that are formed when pedestrians interact within a social system and provide specific target areas where nudges/behavioral interventions could be implemented.
{"title":"The influence of macroscopic pedestrian structures on train boarding efficiency","authors":"Rabia I. Kodapanakkal , Caspar A.S. Pouw , Antal Haans , Jaap Ham , Gunter Bombaerts , Alessandro Corbetta , Andrej Dameski , Andreas Spahn , Federico Toschi","doi":"10.1016/j.trip.2024.101319","DOIUrl":"10.1016/j.trip.2024.101319","url":null,"abstract":"<div><div>A deeper understanding of pedestrian dynamics is essential to improve crowd flows in public spaces such as train stations. It is essential to understand both the physical and the psychological processes present in this context. However, current research on train boarding behavior is limited in scope and mainly focuses on how group level variables such as number of boarders/deboarders influence train boarding efficiency. Viewing pedestrian dynamics through a psychological lens is important for a detailed understanding of the train boarding context and to recognize target areas for improvement. At Dutch train stations, boarders follow a social norm of waiting at the train door until deboarding is complete. Although people generally adhere to this norm, the way it is executed may not be optimal for deboarding efficiency. We investigate how waiting boarders form a deboarding channel (a corridor where deboarders exit the train) and how this channel in turn influences the efficiency of deboarding. Analyzing a dataset with 3278 boarding events at Utrecht Centraal Station in the Netherlands from 2017 to 2020 (subset of a trajectory dataset capturing 100,000 trajectories per day), we found that higher numbers of boarders and a higher ratio of boarders to deboarders, reduced the width of the deboarding channel, and a lower width was associated with lower deboarding efficiency. These results shift the focus from group level variables to identifying macroscopic structures that are formed when pedestrians interact within a social system and provide specific target areas where nudges/behavioral interventions could be implemented.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101319"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Public bus transit in the US faces challenges like reduced ridership, rising costs, and service quality concerns, with ridership dropping to 62% of pre-pandemic levels by mid-2022. This research examines service limitations, safety concerns, and attitudes towards technological improvements in Charlotte’s transit system, using survey data from 160 participants collected in 2022 and 2023. The survey included demographic variables such as age, gender, race, income, living area, and bus usage frequency. Statistical analyses, including GLM, POLR, CLM, and Multinomial Ridge Regression, identified significant factors influencing transit use and perceptions. Key findings show that East Charlotte residents and females face limited routes and longer wait times; safety concerns are more prevalent among Black participants and those in East Charlotte; and privacy concerns are higher among infrequent and higher-income bus users. There is a strong preference for technological improvements like real-time tracking apps, especially among infrequent users. This research highlights the need for targeted improvements to enhance service efficiency, safety, and user satisfaction, providing valuable insights for policymakers and transit authorities to create a more inclusive public transportation system.
{"title":"Demographic disparities, service efficiency, safety, and user satisfaction in public bus transit system: A survey-based case study in the city of Charlotte, NC","authors":"Sanaz Sadat Hosseini , Babak Rahimi Ardabili , Mona Azarbayjani , Hamed Tabkhi","doi":"10.1016/j.trip.2024.101296","DOIUrl":"10.1016/j.trip.2024.101296","url":null,"abstract":"<div><div>Public bus transit in the US faces challenges like reduced ridership, rising costs, and service quality concerns, with ridership dropping to 62% of pre-pandemic levels by mid-2022. This research examines service limitations, safety concerns, and attitudes towards technological improvements in Charlotte’s transit system, using survey data from 160 participants collected in 2022 and 2023. The survey included demographic variables such as age, gender, race, income, living area, and bus usage frequency. Statistical analyses, including GLM, POLR, CLM, and Multinomial Ridge Regression, identified significant factors influencing transit use and perceptions. Key findings show that East Charlotte residents and females face limited routes and longer wait times; safety concerns are more prevalent among Black participants and those in East Charlotte; and privacy concerns are higher among infrequent and higher-income bus users. There is a strong preference for technological improvements like real-time tracking apps, especially among infrequent users. This research highlights the need for targeted improvements to enhance service efficiency, safety, and user satisfaction, providing valuable insights for policymakers and transit authorities to create a more inclusive public transportation system.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101296"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.trip.2024.101282
Markus Steimle , Vanessa Stange , Mark Vollrath , Markus Maurer
For the successful market launch of automated vehicles (AVs), passengers must feel safe and sufficiently comfortable during automated rides. Considering these needs is essential when developing AVs. To investigate these needs during vehicle development, studies with participants can be conducted using test vehicles and driving simulators. The human&vehicle-in-the-loop (Hu&ViL) test method, initially introduced as “vehicle-in-the-loop” (ViL) for testing driver assistance systems, combines the advantages of test vehicles and driving simulators. However, this test method is hardly known and rarely used. New research revealed that the scope of the Hu&ViL test method can be extended to research questions related to automated driving. We describe the basic concept of this extended method and its implementation in a test vehicle. We investigate the interactions between an AV and vulnerable road users in urban mixed traffic from the passenger’s perspective in a case study consisting of five studies: one online video study, two driving simulator studies, and two Hu&ViL studies. We present selected results, compare them across the studies, and derive lessons learned from implementing and conducting the studies. While the patterns of results obtained in the video study and driving simulator study were replicated in the Hu&ViL study in the first scenario involving longitudinal vehicle acceleration, the vehicle dynamics of the real vehicle changed the pattern of results in the second scenario involving lateral vehicle acceleration. The Hu&ViL test method is suitable for investigating a variety of research questions from the perspective of human drivers and passengers of AVs.
{"title":"Human&vehicle-in-the-loop test method in human factors research on automated vehicles: Conceptualization, realization, case-study, and lessons learned","authors":"Markus Steimle , Vanessa Stange , Mark Vollrath , Markus Maurer","doi":"10.1016/j.trip.2024.101282","DOIUrl":"10.1016/j.trip.2024.101282","url":null,"abstract":"<div><div>For the successful market launch of automated vehicles (AVs), passengers must feel safe and sufficiently comfortable during automated rides. Considering these needs is essential when developing AVs. To investigate these needs during vehicle development, studies with participants can be conducted using test vehicles and driving simulators. The human&vehicle-in-the-loop (Hu&ViL) test method, initially introduced as “vehicle-in-the-loop” (ViL) for testing driver assistance systems, combines the advantages of test vehicles and driving simulators. However, this test method is hardly known and rarely used. New research revealed that the scope of the Hu&ViL test method can be extended to research questions related to automated driving. We describe the basic concept of this extended method and its implementation in a test vehicle. We investigate the interactions between an AV and vulnerable road users in urban mixed traffic from the passenger’s perspective in a case study consisting of five studies: one online video study, two driving simulator studies, and two Hu&ViL studies. We present selected results, compare them across the studies, and derive lessons learned from implementing and conducting the studies. While the patterns of results obtained in the video study and driving simulator study were replicated in the Hu&ViL study in the first scenario involving longitudinal vehicle acceleration, the vehicle dynamics of the real vehicle changed the pattern of results in the second scenario involving lateral vehicle acceleration. The Hu&ViL test method is suitable for investigating a variety of research questions from the perspective of human drivers and passengers of AVs.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101282"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}