Pub Date : 2019-10-28DOI: 10.1109/ICTIS.2019.8883784
Jieyu Fan, Jian Lu, Jing Wang
To support scientific management strategy for reducing transportation gas emission, this study investigates the emission principles of different exhaust gases (CO, HC, NOX) in different driving states. The OBEAS-3000 vehicle exhaust gas detector was used to collect the instantaneous emission rate of motor vehicle exhaust at different speeds and accelerations in field experiments. Based on the data, the effects of speed and acceleration rate on the emission rate of different exhaust gases by partial correlation methods were analyzed. Results show that there are potential interactions between acceleration and velocity effects at different gas emission rates and emission ratios. At different stages of the velocity and acceleration, the proportions of CO and HC emissions are significantly different, but the proportion of NOX changes little. At the low-velocity stage, emission ratios of CO and HC have no significant changes in different acceleration stages. In the mid-speed driving phase, the CO emission ratio is positively correlated with the acceleration, whereas the HC emission ratio is negatively correlated with the acceleration. During the high-velocity driving period, CO and HC emission ratios have no significant change in different acceleration stages. The results provide theoretical supports for establishing accurate emission models for various gases.
{"title":"The Effect of Speed and Acceleration on Emission Ratio Based on Actual Road Driving: A Case of Xiaodian District in Taiyuan","authors":"Jieyu Fan, Jian Lu, Jing Wang","doi":"10.1109/ICTIS.2019.8883784","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883784","url":null,"abstract":"To support scientific management strategy for reducing transportation gas emission, this study investigates the emission principles of different exhaust gases (CO, HC, NOX) in different driving states. The OBEAS-3000 vehicle exhaust gas detector was used to collect the instantaneous emission rate of motor vehicle exhaust at different speeds and accelerations in field experiments. Based on the data, the effects of speed and acceleration rate on the emission rate of different exhaust gases by partial correlation methods were analyzed. Results show that there are potential interactions between acceleration and velocity effects at different gas emission rates and emission ratios. At different stages of the velocity and acceleration, the proportions of CO and HC emissions are significantly different, but the proportion of NOX changes little. At the low-velocity stage, emission ratios of CO and HC have no significant changes in different acceleration stages. In the mid-speed driving phase, the CO emission ratio is positively correlated with the acceleration, whereas the HC emission ratio is negatively correlated with the acceleration. During the high-velocity driving period, CO and HC emission ratios have no significant change in different acceleration stages. The results provide theoretical supports for establishing accurate emission models for various gases.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883723
Kairan Zhang, M. Hassan
Egypt’s National Road Project is a large infrastructure project aiming to upgrade 2500 kilometers in the road network as well as constructing 4000 kilometers of new roads to meet today’s need. The road construction work inevitably leads to an increased number of work zones on highways, creating more hazardous situations for drivers. This is the reason highway agencies are shifting towards night construction work in order to reduce the traffic impacts on the public. Nighttime traffic is commonly characterized by lower traffic volumes, higher speeds and reduced visibility, but there are only a few studies providing valuable results on nighttime work zone crashes. Data from long-term Egyptian highway work zone projects that occurred between 2010 and 2016 are investigated and the injury severity of nighttime crashes is modeled by a mixed multinomial logit model. The estimation procedure indicates that the speeding factor is best modeled by a random variable. From investigation of the model parameters and their pseudo-elasticity, the influence of a wide range of risk factors on injury severity can be assessed and interpreted in terms of driving conditions. It is found that highly influential factors increasing the crash fatality risk include weather conditions (rain) and driver characteristics, such as gender and age group. Additional risk factors are vehicle type (passenger cars or heavy vehicles) and work zones with multiple lane closures.
{"title":"Injury Severity Analysis of Nighttime Work Zone Crashes","authors":"Kairan Zhang, M. Hassan","doi":"10.1109/ICTIS.2019.8883723","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883723","url":null,"abstract":"Egypt’s National Road Project is a large infrastructure project aiming to upgrade 2500 kilometers in the road network as well as constructing 4000 kilometers of new roads to meet today’s need. The road construction work inevitably leads to an increased number of work zones on highways, creating more hazardous situations for drivers. This is the reason highway agencies are shifting towards night construction work in order to reduce the traffic impacts on the public. Nighttime traffic is commonly characterized by lower traffic volumes, higher speeds and reduced visibility, but there are only a few studies providing valuable results on nighttime work zone crashes. Data from long-term Egyptian highway work zone projects that occurred between 2010 and 2016 are investigated and the injury severity of nighttime crashes is modeled by a mixed multinomial logit model. The estimation procedure indicates that the speeding factor is best modeled by a random variable. From investigation of the model parameters and their pseudo-elasticity, the influence of a wide range of risk factors on injury severity can be assessed and interpreted in terms of driving conditions. It is found that highly influential factors increasing the crash fatality risk include weather conditions (rain) and driver characteristics, such as gender and age group. Additional risk factors are vehicle type (passenger cars or heavy vehicles) and work zones with multiple lane closures.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123693685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883752
Jianhui Cheng, D. Li
In a drop-off area of railway station, there is serious interference between vehicles and between pedestrians and vehicles, which greatly affects the traffic efficiency of the area, and leads to traffic safety problems. At present, however, there is a lack of research on the interference between vehicles and pedestrians in the drop-off area. To deal with the problem of interference between vehicles and pedestrians, this paper proposes an interference model based on cellular automata between vehicles and pedestrians in the drop-off area. The model mainly consists of a parking model and a motion model for vehicles, and a decision model and a motion model for pedestrians. The model is calibrated by the traffic flow in the drop-off area of Beijingxi Railway Station, after which the traffic characteristics of the drop-off area are analyzed: Traffic volume increases with the increase of vehicle arrival rate, and then the trend gradually tends to be steady to 1 090 pcu/h; vehicles in the outside lane have a greater influence on traffic volume in this area; the probability of conflict event on the unsignalized crosswalks in the drop-off area is about 5.13%; the delay of the outside lane vehicle is smaller than vehicle of the inboard lane, and the pedestrian delay is not simply multiplied as the number of crossing lanes increases.
{"title":"A Study of Interference between Pedestrians and Vehicles in Drop-off Area at Railway Station based on Celluar Automata","authors":"Jianhui Cheng, D. Li","doi":"10.1109/ICTIS.2019.8883752","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883752","url":null,"abstract":"In a drop-off area of railway station, there is serious interference between vehicles and between pedestrians and vehicles, which greatly affects the traffic efficiency of the area, and leads to traffic safety problems. At present, however, there is a lack of research on the interference between vehicles and pedestrians in the drop-off area. To deal with the problem of interference between vehicles and pedestrians, this paper proposes an interference model based on cellular automata between vehicles and pedestrians in the drop-off area. The model mainly consists of a parking model and a motion model for vehicles, and a decision model and a motion model for pedestrians. The model is calibrated by the traffic flow in the drop-off area of Beijingxi Railway Station, after which the traffic characteristics of the drop-off area are analyzed: Traffic volume increases with the increase of vehicle arrival rate, and then the trend gradually tends to be steady to 1 090 pcu/h; vehicles in the outside lane have a greater influence on traffic volume in this area; the probability of conflict event on the unsignalized crosswalks in the drop-off area is about 5.13%; the delay of the outside lane vehicle is smaller than vehicle of the inboard lane, and the pedestrian delay is not simply multiplied as the number of crossing lanes increases.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132752495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883823
Xingjian Zhang, Le-ping Yuan, Mo Zhao, Peng Bai
Fatigue and stress are two of the most common degraded performance states of air traffic controllers. They may have potential threat to air traffic safety. In order to analyze the effect characteristics of them on control performance, nine indices were defined and analyzed. A control simulation experiment was designed to collect 22 participants’ control performance data and the data of 19 participants were collected successfully. Four states, sober (SO), fatigue (FA), stress (ST) and fatigue & stress (FS), were designed. According to training regulations of air traffic controllers, nine indices were designed and analyzed, including the average of reaction time (RT_AVG), the standard deviation of reaction time (RT_SD), radiotelephony communication (RC), checking equipment (CE), flight progress strip (FPS), safety awareness (SAA), safety interval (SAI), instruction moment (IM), situation awareness (SIA). Based on the experiment process record of controllers, RT was calculated and the other indices was graded according to specific rule. The analysis results showed that all the indices except CE and SAA were significantly different among the four states. The performance of RT_AVG, RT_SD, RC, IM and SIA of controllers was impaired by fatigue significantly. Under the influence of stress, RT_SD, RC, FPS, SI, IM and SIA became worse. All the indices except CE and SAA were different significantly in FS state compared with SO state. The results indicate that both fatigue and stress can impair control performance in several aspects. Fatigue mainly makes controllers’ execution speed slower and less consideration about the situation. Stress leads to more control mistakes or disorders. These findings are expected to support the recognition of control states and improve the optimization of air traffic controller management.
{"title":"Effect of Fatigue and Stress on Air Traffic Control Performance","authors":"Xingjian Zhang, Le-ping Yuan, Mo Zhao, Peng Bai","doi":"10.1109/ICTIS.2019.8883823","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883823","url":null,"abstract":"Fatigue and stress are two of the most common degraded performance states of air traffic controllers. They may have potential threat to air traffic safety. In order to analyze the effect characteristics of them on control performance, nine indices were defined and analyzed. A control simulation experiment was designed to collect 22 participants’ control performance data and the data of 19 participants were collected successfully. Four states, sober (SO), fatigue (FA), stress (ST) and fatigue & stress (FS), were designed. According to training regulations of air traffic controllers, nine indices were designed and analyzed, including the average of reaction time (RT_AVG), the standard deviation of reaction time (RT_SD), radiotelephony communication (RC), checking equipment (CE), flight progress strip (FPS), safety awareness (SAA), safety interval (SAI), instruction moment (IM), situation awareness (SIA). Based on the experiment process record of controllers, RT was calculated and the other indices was graded according to specific rule. The analysis results showed that all the indices except CE and SAA were significantly different among the four states. The performance of RT_AVG, RT_SD, RC, IM and SIA of controllers was impaired by fatigue significantly. Under the influence of stress, RT_SD, RC, FPS, SI, IM and SIA became worse. All the indices except CE and SAA were different significantly in FS state compared with SO state. The results indicate that both fatigue and stress can impair control performance in several aspects. Fatigue mainly makes controllers’ execution speed slower and less consideration about the situation. Stress leads to more control mistakes or disorders. These findings are expected to support the recognition of control states and improve the optimization of air traffic controller management.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123674205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883589
Kairan Zhang, M. Hassan
Egypt’s National Road Project is a large infrastructure project which presently aims to upgrade 2500 kilometers of road networks as well as construct 4000 kilometers of new roads to meet today’s need. Increasing the amount of highway construction results in a significant increase in the number of work zones and therefore a rise in more hazardous conditions. This paper aims to investigate and identify the significant contributing factors for work zone rear-end crash severity, by applying a factor analysis method and an ordered probit model to analyze data on the Egyptian long-term highway work zone projects during the period of 2010 to 2016. The main and common factors which influence crashes are identified by factor analysis, while the probit model is developed based on the scores of factor analysis to examine how those factors contribute to crashes. The results show that the most influential factors which contribute to crashes are gender, road character, number of lane closures, and age. Furthermore, five common factors significantly affect the severity of work zone rear-end crashes, whose accumulated contribution percentage is 65.92%.
{"title":"Investigating Factors Contributing to Injury Severity in Work Zone Rear-End Crashes","authors":"Kairan Zhang, M. Hassan","doi":"10.1109/ICTIS.2019.8883589","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883589","url":null,"abstract":"Egypt’s National Road Project is a large infrastructure project which presently aims to upgrade 2500 kilometers of road networks as well as construct 4000 kilometers of new roads to meet today’s need. Increasing the amount of highway construction results in a significant increase in the number of work zones and therefore a rise in more hazardous conditions. This paper aims to investigate and identify the significant contributing factors for work zone rear-end crash severity, by applying a factor analysis method and an ordered probit model to analyze data on the Egyptian long-term highway work zone projects during the period of 2010 to 2016. The main and common factors which influence crashes are identified by factor analysis, while the probit model is developed based on the scores of factor analysis to examine how those factors contribute to crashes. The results show that the most influential factors which contribute to crashes are gender, road character, number of lane closures, and age. Furthermore, five common factors significantly affect the severity of work zone rear-end crashes, whose accumulated contribution percentage is 65.92%.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132740580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883757
D. Aranda, L. M. Fernández, V. Stantchev
Global humanitarianism is largely based on the correct management of the humanitarian aid chain. Agility is a concept taken from supply chain management in manufacturing that has been recently applied to humanitarian aid supply chains (HASC) in order to deliver emergency disaster relief. Different actors participate in the HASC (International and local NGOs, governmental institutions and services, army or individual initiatives, among others) whose configurations, processes or goals directly influence the levels of responsiveness, flexibility or agility. In addition, fast changing environments and conditions require different agencies to work with effectiveness even reconfiguring to deliver relief in extreme emergency circumstances. There are plenty of catastrophic disasters sorts which differ in their impact according to multiple variables such as the level of country development, geographical distance to basic resources, political circumstances such as wars or embargos, inclusionary community participation, existence of potential or real epidemics, etc. This complexity involves plenty of difficulties for operational effectiveness as well as for the definition of an aid supply chain strategy. This paper provides an overview of the benefits that the integration of IoT and Blockchain can produce on HASC performance conditions involving resources, processes, outputs, outcomes and impacts.
{"title":"Integration of Internet of Things (IoT) and Blockchain to increase humanitarian aid supply chains performance","authors":"D. Aranda, L. M. Fernández, V. Stantchev","doi":"10.1109/ICTIS.2019.8883757","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883757","url":null,"abstract":"Global humanitarianism is largely based on the correct management of the humanitarian aid chain. Agility is a concept taken from supply chain management in manufacturing that has been recently applied to humanitarian aid supply chains (HASC) in order to deliver emergency disaster relief. Different actors participate in the HASC (International and local NGOs, governmental institutions and services, army or individual initiatives, among others) whose configurations, processes or goals directly influence the levels of responsiveness, flexibility or agility. In addition, fast changing environments and conditions require different agencies to work with effectiveness even reconfiguring to deliver relief in extreme emergency circumstances. There are plenty of catastrophic disasters sorts which differ in their impact according to multiple variables such as the level of country development, geographical distance to basic resources, political circumstances such as wars or embargos, inclusionary community participation, existence of potential or real epidemics, etc. This complexity involves plenty of difficulties for operational effectiveness as well as for the definition of an aid supply chain strategy. This paper provides an overview of the benefits that the integration of IoT and Blockchain can produce on HASC performance conditions involving resources, processes, outputs, outcomes and impacts.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128790525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883592
Y. Xi, S. Fu, Shenping Hu, Tingrong Qin, Zaili Yang
The safety psychology of maritime pilots has a significant impact on their safe operational behavior. This paper aims to analyze the hazardous attitudes of maritime pilots towards their safety behavior and investigate the effect}{of their risk tolerance on this process through a hybrid of Structural Equation Model (SEM) and multi-level regression analysis. Primary data was collected from a survey from Chinese pilots working at Shanghai port, and a total of 306 collected surveys was analyzed. The study shows that hazardous attitudes have a significant effect on the safety behavior of maritime pilots, and the degree of risk tolerance plays a significant moderating role in this process. If the value of hazardous attitudes of maritime pilots is higher than an average level, his/her safety operational behavior will gradually degrade with the increased degree of risk tolerance. If the value of hazardous attitudes is lower than the average level, the behavior will gradually be safer with the decreased degree of risk tolerance.
{"title":"The Moderating Effect of Risk Tolerance on the Hazardous Attitudes and Safety Behavior of Maritime Pilots: a Chinese Case","authors":"Y. Xi, S. Fu, Shenping Hu, Tingrong Qin, Zaili Yang","doi":"10.1109/ICTIS.2019.8883592","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883592","url":null,"abstract":"The safety psychology of maritime pilots has a significant impact on their safe operational behavior. This paper aims to analyze the hazardous attitudes of maritime pilots towards their safety behavior and investigate the effect}{of their risk tolerance on this process through a hybrid of Structural Equation Model (SEM) and multi-level regression analysis. Primary data was collected from a survey from Chinese pilots working at Shanghai port, and a total of 306 collected surveys was analyzed. The study shows that hazardous attitudes have a significant effect on the safety behavior of maritime pilots, and the degree of risk tolerance plays a significant moderating role in this process. If the value of hazardous attitudes of maritime pilots is higher than an average level, his/her safety operational behavior will gradually degrade with the increased degree of risk tolerance. If the value of hazardous attitudes is lower than the average level, the behavior will gradually be safer with the decreased degree of risk tolerance.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114060886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883596
Wenkai Li, Chunwei Zhang, Jie Ma, Chengfeng Jia
It is of critical importance for vessels to detect potentially hazardous situations as early as possible. Therefore, recognition and prediction of vessel motions require effective representations for analysis and clustering of motion trajectories. While short-term motion prediction of moving object is largely achievable, long-term prediction is more useful given the restricted maneuverability of vessels since a vessel cannot abruptly stop, turn or reverse as a land vehicle does. To this end, we propose in this study a long-term vessel motion prediction approach based on a combined trajectory classification and long short-term memory (LSTM) networks framework. As a measure for the similarity between trajectories, we introduce the longest common subsequence (LCS) algorithm to define trajectory similarity when making DBSCAN clustering. The grouped trajectories representing various motion patterns are further modeled via LSTM networks, in which vessel trajectory data are formed by regressing relative motion against current position and then the iterative prediction is applied for long-term prediction. We use the proposed approach for classifying and predicting motions in vessel traffic monitoring domains and test on real AIS data. Experiments show the benefit of this approach for long-term motion predication where parametric models such as Kalman Filters would perform poorly.
{"title":"Long-term Vessel Motion Predication by Modeling Trajectory Patterns with AIS Data","authors":"Wenkai Li, Chunwei Zhang, Jie Ma, Chengfeng Jia","doi":"10.1109/ICTIS.2019.8883596","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883596","url":null,"abstract":"It is of critical importance for vessels to detect potentially hazardous situations as early as possible. Therefore, recognition and prediction of vessel motions require effective representations for analysis and clustering of motion trajectories. While short-term motion prediction of moving object is largely achievable, long-term prediction is more useful given the restricted maneuverability of vessels since a vessel cannot abruptly stop, turn or reverse as a land vehicle does. To this end, we propose in this study a long-term vessel motion prediction approach based on a combined trajectory classification and long short-term memory (LSTM) networks framework. As a measure for the similarity between trajectories, we introduce the longest common subsequence (LCS) algorithm to define trajectory similarity when making DBSCAN clustering. The grouped trajectories representing various motion patterns are further modeled via LSTM networks, in which vessel trajectory data are formed by regressing relative motion against current position and then the iterative prediction is applied for long-term prediction. We use the proposed approach for classifying and predicting motions in vessel traffic monitoring domains and test on real AIS data. Experiments show the benefit of this approach for long-term motion predication where parametric models such as Kalman Filters would perform poorly.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127914527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883572
A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren
The purpose of this paper is to present three novel methods of road traffic flow level of service on the basis of safety, prevention of accidents by available perception time and available stopping distance, and the risk of pedestrians sustaining severe injuries and risk of death. The risk of accidents and risk of sustaining severe injuries or death increase with the reduction of gap between the vehicle and the pedestrian casualty. Hence, the closest the pedestrian is from the vehicle the more likely he/she will sustain sever injuries or die. Researchers have assessed the impact of an accident by passenger cars and light goods vehicles on pedestrian, but they overlooked the impact of heavy goods vehicles. For roads with relatively high percentage of heavy goods vehicles in the traffic flow, an investigation of the risk of losing human lives and high expenses due to accidents is beneficial. Level of service methods that describe the risk of accidents in low quality operational conditions are necessary for accident prevention purposes.
{"title":"A New Level of Service Method for Roads Based on Available Perception Time and Risk of Sustaining Severe Injury or Death","authors":"A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren","doi":"10.1109/ICTIS.2019.8883572","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883572","url":null,"abstract":"The purpose of this paper is to present three novel methods of road traffic flow level of service on the basis of safety, prevention of accidents by available perception time and available stopping distance, and the risk of pedestrians sustaining severe injuries and risk of death. The risk of accidents and risk of sustaining severe injuries or death increase with the reduction of gap between the vehicle and the pedestrian casualty. Hence, the closest the pedestrian is from the vehicle the more likely he/she will sustain sever injuries or die. Researchers have assessed the impact of an accident by passenger cars and light goods vehicles on pedestrian, but they overlooked the impact of heavy goods vehicles. For roads with relatively high percentage of heavy goods vehicles in the traffic flow, an investigation of the risk of losing human lives and high expenses due to accidents is beneficial. Level of service methods that describe the risk of accidents in low quality operational conditions are necessary for accident prevention purposes.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"509 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122760369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-14DOI: 10.1109/ICTIS.2019.8883800
Peng Chen, Xiang Li, Z. Tang
To study the fault mechanism of steering gear hydraulic system systematically, the typical fault of steering gear hydraulic system is analyzed with theoretical method, and the simulation model is built with AMEsim method according to the component of steering gear hydraulic system. Three typical fault models are set in the AMESim model respectively, and the response regulations are revealed. Meanwhile, the fault mechanism is analyzed. Research method and results can offer reference and guide for fault diagnosis of steering gear hydraulic system.
{"title":"Simulation Analysis of Steering Gear Hydraulic System Fault Mechanism Based on AMESim","authors":"Peng Chen, Xiang Li, Z. Tang","doi":"10.1109/ICTIS.2019.8883800","DOIUrl":"https://doi.org/10.1109/ICTIS.2019.8883800","url":null,"abstract":"To study the fault mechanism of steering gear hydraulic system systematically, the typical fault of steering gear hydraulic system is analyzed with theoretical method, and the simulation model is built with AMEsim method according to the component of steering gear hydraulic system. Three typical fault models are set in the AMESim model respectively, and the response regulations are revealed. Meanwhile, the fault mechanism is analyzed. Research method and results can offer reference and guide for fault diagnosis of steering gear hydraulic system.","PeriodicalId":325712,"journal":{"name":"2019 5th International Conference on Transportation Information and Safety (ICTIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121370620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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