Pub Date : 2023-04-25DOI: 10.1080/21680566.2023.2203848
Hongyu Rao, Duo Zhang, Guoyang Qin, Lishengsa Yue, Jian Sun
Intra-driver heterogeneity is defined as transition of driver’s behavior between usual and unusual, which is an intrinsic feature of drivers while yet to be extensively explored. This study used a large-scale naturalistic driving data set to investigate intra-driver heterogeneity in car-following. We constructed an IDM-based baseline model to represent a driver’s usual behavior; by measuring difference between observed behavior with baseline, unusual behavior was identified. Then, multi-level logit model with random effects was fitted to uncover contributing factors. Among 41 drivers’ 1356 trips, intra-driver heterogeneity was identified in 3194 episodes, which accounts for 15% of the time. Within investigated 24 factors, we found that intra-driver heterogeneity was statistically related with vehicle kinematic features, then traffic flow and surrounding environment, but not driver sociodemographics. Being cut in is the most prominent trigger for intra-driver heterogeneity. These findings garner some remarkable insights into improvement of car-following modeling and many other engineering practices.
{"title":"Investigating the intra-driver heterogeneity in car following behaviour based on large-scale naturalistic driving study","authors":"Hongyu Rao, Duo Zhang, Guoyang Qin, Lishengsa Yue, Jian Sun","doi":"10.1080/21680566.2023.2203848","DOIUrl":"https://doi.org/10.1080/21680566.2023.2203848","url":null,"abstract":"Intra-driver heterogeneity is defined as transition of driver’s behavior between usual and unusual, which is an intrinsic feature of drivers while yet to be extensively explored. This study used a large-scale naturalistic driving data set to investigate intra-driver heterogeneity in car-following. We constructed an IDM-based baseline model to represent a driver’s usual behavior; by measuring difference between observed behavior with baseline, unusual behavior was identified. Then, multi-level logit model with random effects was fitted to uncover contributing factors. Among 41 drivers’ 1356 trips, intra-driver heterogeneity was identified in 3194 episodes, which accounts for 15% of the time. Within investigated 24 factors, we found that intra-driver heterogeneity was statistically related with vehicle kinematic features, then traffic flow and surrounding environment, but not driver sociodemographics. Being cut in is the most prominent trigger for intra-driver heterogeneity. These findings garner some remarkable insights into improvement of car-following modeling and many other engineering practices.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45801590","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 : 2023-04-25DOI: 10.1080/21680566.2023.2202299
Yueyi Han, Congcong Bai, Sheng Jin, Rujie Wang, Dongfang Ma
In this paper, a novel two-lane car-following model considering driver’s visual effect is proposed. Changes in driver behaviour are directly stimulated from visual information and an improved time-to-collision (TTC) calculation is presented. Using TTC, stimuli are formulated for describing the influence of leading vehicles. Besides, the model is established based on the optimal velocity model framework. The stability of the proposed model is discussed by theoretical analysis and numerical simulation. Moreover, the influences of parameters and the comparison between models are investigated by simulations, which show that the proposed model can effectively describe the influences. Finally, the model is calibrated and verified by NGSIM trajectory data, which shows that the proposed model fitting effect can be improved by 7.78%, 44.96%, and 32.07% respectively compared with other three models. This study may provide a basis for the design of control strategies for future intelligent connected vehicles in multi-lane environments.
{"title":"Modelling of two-lane car-following behaviour considering driver’s visual effect","authors":"Yueyi Han, Congcong Bai, Sheng Jin, Rujie Wang, Dongfang Ma","doi":"10.1080/21680566.2023.2202299","DOIUrl":"https://doi.org/10.1080/21680566.2023.2202299","url":null,"abstract":"In this paper, a novel two-lane car-following model considering driver’s visual effect is proposed. Changes in driver behaviour are directly stimulated from visual information and an improved time-to-collision (TTC) calculation is presented. Using TTC, stimuli are formulated for describing the influence of leading vehicles. Besides, the model is established based on the optimal velocity model framework. The stability of the proposed model is discussed by theoretical analysis and numerical simulation. Moreover, the influences of parameters and the comparison between models are investigated by simulations, which show that the proposed model can effectively describe the influences. Finally, the model is calibrated and verified by NGSIM trajectory data, which shows that the proposed model fitting effect can be improved by 7.78%, 44.96%, and 32.07% respectively compared with other three models. This study may provide a basis for the design of control strategies for future intelligent connected vehicles in multi-lane environments.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44223790","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 : 2023-04-25DOI: 10.1080/21680566.2023.2203847
Qiaozhen Zhu, Yun Bai, Lingling Yang, Yao Chen, Dongyang Yan
Train failures may lead to disruptions of train operations and degradation of the service quality. This situation requires a quick turnaround to rescue the disabled train and reschedule the timetable. This paper proposes a collaborative model to optimise train rescue operations and timetable rescheduling, which includes retiming, cancelling trains, skip-stopping, and inserting additional trains. The model objective is to minimise train rescue duration and the number of stranded passengers. A tabu search algorithm combined with solver GUROBI is designed to solve the model. Case studies show that the proposed method reduces the number of stranded passengers by 28.6% at the cost of 5% increment of train rescue duration compared to the sequential method which finds the rescue operations first and then reschedules the train timetable. Moreover, the results indicate that inserting additional trains and skip-stopping are effective in improving service quality during disruptions.
{"title":"Collaborative optimization of rescue operation and timetable rescheduling under metro train failure","authors":"Qiaozhen Zhu, Yun Bai, Lingling Yang, Yao Chen, Dongyang Yan","doi":"10.1080/21680566.2023.2203847","DOIUrl":"https://doi.org/10.1080/21680566.2023.2203847","url":null,"abstract":"Train failures may lead to disruptions of train operations and degradation of the service quality. This situation requires a quick turnaround to rescue the disabled train and reschedule the timetable. This paper proposes a collaborative model to optimise train rescue operations and timetable rescheduling, which includes retiming, cancelling trains, skip-stopping, and inserting additional trains. The model objective is to minimise train rescue duration and the number of stranded passengers. A tabu search algorithm combined with solver GUROBI is designed to solve the model. Case studies show that the proposed method reduces the number of stranded passengers by 28.6% at the cost of 5% increment of train rescue duration compared to the sequential method which finds the rescue operations first and then reschedules the train timetable. Moreover, the results indicate that inserting additional trains and skip-stopping are effective in improving service quality during disruptions.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48749514","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 : 2023-04-03DOI: 10.1080/21680566.2023.2195984
Mingyang Li, Jinjun Tang, J. Zeng, Helai Huang
As a promising on-demand transportation mode in low-demand areas, flex-route transit, has attracted much attention in the transportation research field. However, unexpectedly high demand levels caused by travel uncertainty impact the reliability and development of flex-route transit services. Although the meeting point strategy can deal with this problem effectively, selecting a location for the meeting points can substantially influence the performance of this strategy. In this study, meeting point location selection is modeled as a simulation-based optimization (SO) problem, and a Kriging-based global optimization method using a Pareto-based multipoint sampling strategy (KGO-PS) is proposed to solve this problem. Through comparison of several typical benchmark functions with other counterparts, the effectiveness of KGO-PS has been verified. Moreover, a real-life flex-route transit service is employed to construct the SO problem, and the optimization results show that the proposed algorithm can improve the performance of flex-route transit services under unexpectedly high demand levels.
{"title":"A Kriging-based optimization method for meeting point locations to enhance flex-route transit services","authors":"Mingyang Li, Jinjun Tang, J. Zeng, Helai Huang","doi":"10.1080/21680566.2023.2195984","DOIUrl":"https://doi.org/10.1080/21680566.2023.2195984","url":null,"abstract":"As a promising on-demand transportation mode in low-demand areas, flex-route transit, has attracted much attention in the transportation research field. However, unexpectedly high demand levels caused by travel uncertainty impact the reliability and development of flex-route transit services. Although the meeting point strategy can deal with this problem effectively, selecting a location for the meeting points can substantially influence the performance of this strategy. In this study, meeting point location selection is modeled as a simulation-based optimization (SO) problem, and a Kriging-based global optimization method using a Pareto-based multipoint sampling strategy (KGO-PS) is proposed to solve this problem. Through comparison of several typical benchmark functions with other counterparts, the effectiveness of KGO-PS has been verified. Moreover, a real-life flex-route transit service is employed to construct the SO problem, and the optimization results show that the proposed algorithm can improve the performance of flex-route transit services under unexpectedly high demand levels.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48002932","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 : 2023-03-30DOI: 10.1080/21680566.2023.2193314
Guohong Wu, Rui Jiang
Trajectory smoothing design (TSD) may significantly reduce fuel consumption and improve driving comfort at intersections. In this paper, a mixed integer linear programming (MILP) model with discrete time is formulated to jointly optimize autonomous intersection management and TSD, aiming to improve traffic efficiency, fuel economy and driving comfort simultaneously. Driving safety of car-following and collision avoidance at conflict points, diverge points and converge points, as well as constraints of acceleration and jerk are considered. To reasonably describe vehicle movement within intersection areas, the vehicle trajectory within the intersection is treated as a channel considering the vehicle width. A rolling horizon framework is used to solve the model. We have compared the traffic efficiency, fuel economy, monetary cost and driving comfort of the joint optimization model with that of the state-of-the-art two-stage strategy. Finally, sensitivity analysis with respect to left-turn ratio, weighted coefficient of TSD and control zone length is conducted.
{"title":"Joint optimization for autonomous intersection management and trajectory smoothing design with connected automated vehicles","authors":"Guohong Wu, Rui Jiang","doi":"10.1080/21680566.2023.2193314","DOIUrl":"https://doi.org/10.1080/21680566.2023.2193314","url":null,"abstract":"Trajectory smoothing design (TSD) may significantly reduce fuel consumption and improve driving comfort at intersections. In this paper, a mixed integer linear programming (MILP) model with discrete time is formulated to jointly optimize autonomous intersection management and TSD, aiming to improve traffic efficiency, fuel economy and driving comfort simultaneously. Driving safety of car-following and collision avoidance at conflict points, diverge points and converge points, as well as constraints of acceleration and jerk are considered. To reasonably describe vehicle movement within intersection areas, the vehicle trajectory within the intersection is treated as a channel considering the vehicle width. A rolling horizon framework is used to solve the model. We have compared the traffic efficiency, fuel economy, monetary cost and driving comfort of the joint optimization model with that of the state-of-the-art two-stage strategy. Finally, sensitivity analysis with respect to left-turn ratio, weighted coefficient of TSD and control zone length is conducted.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41866036","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 : 2023-03-24DOI: 10.1080/21680566.2023.2190491
Ning Guo, Fei-Hong Jiang, K. Zhu, Chao-Yun Wu, Qing-Yi Hao
When on-ramp bottlenecks are activated, road capacity on the mainline drops sharply. This paper presents a method of adding white solid lines between lanes of the mainline in the on-ramp area to prohibit lane-changing behaviour. The interference of on-ramp vehicles on mainline vehicles can be reduced, to improve traffic efficiency. By 2D-IDM car-following model and MOBIL lane-changing model, the simulation scene of an on-ramp bottleneck is built. In the case of a high inflow rate on the mainline, a solid line between the second and third lanes upstream of the merging area can reduce the travel time. Compared to no solid line, the density of the first and second lanes is lower, the speed is higher, and the frequency of stop-and-go waves decreases. An extra solid line between the first and second lanes cannot further improve traffic efficiency.
{"title":"The solid line prohibiting lane changing to improve traffic efficiency in the on-ramp merging area","authors":"Ning Guo, Fei-Hong Jiang, K. Zhu, Chao-Yun Wu, Qing-Yi Hao","doi":"10.1080/21680566.2023.2190491","DOIUrl":"https://doi.org/10.1080/21680566.2023.2190491","url":null,"abstract":"When on-ramp bottlenecks are activated, road capacity on the mainline drops sharply. This paper presents a method of adding white solid lines between lanes of the mainline in the on-ramp area to prohibit lane-changing behaviour. The interference of on-ramp vehicles on mainline vehicles can be reduced, to improve traffic efficiency. By 2D-IDM car-following model and MOBIL lane-changing model, the simulation scene of an on-ramp bottleneck is built. In the case of a high inflow rate on the mainline, a solid line between the second and third lanes upstream of the merging area can reduce the travel time. Compared to no solid line, the density of the first and second lanes is lower, the speed is higher, and the frequency of stop-and-go waves decreases. An extra solid line between the first and second lanes cannot further improve traffic efficiency.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48599941","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 : 2023-03-09DOI: 10.1080/21680566.2023.2185496
Iman Taheri Sarteshnizi, M. Sarvi, S. A. Bagloee, Neema Nassir
Multiple pattern analyses of traffic data have been conducted previously; however, it has yet to be explored with an awareness of temporal factors in big real-world traffic data. In this paper, we introduce a hybrid method to measure the intensity of differences among various temporal factors’ data. The proposed method can efficiently process the historical data given temporal factors and provide insightful information about the intensity of variations. After data denoising with basis splines, we reshape the time series into a 2-D latent space using Principal Component Analysis (PCA) according to the type of analysis. Pairwise K-means clustering is then applied after anomaly elimination with DBSCAN to derive Adjusted Rand Index (ARI) matrices. Finally, these matrices are then systematically used to find similar patterns of different temporal perspectives. Multiple analyses are carried out with real data from Melbourne, Australia. Dissimilarities with intensities of up to 80% are detected that are not detectable with general clustering approaches.
{"title":"Temporal pattern mining of urban traffic volume data: a pairwise hybrid clustering method","authors":"Iman Taheri Sarteshnizi, M. Sarvi, S. A. Bagloee, Neema Nassir","doi":"10.1080/21680566.2023.2185496","DOIUrl":"https://doi.org/10.1080/21680566.2023.2185496","url":null,"abstract":"Multiple pattern analyses of traffic data have been conducted previously; however, it has yet to be explored with an awareness of temporal factors in big real-world traffic data. In this paper, we introduce a hybrid method to measure the intensity of differences among various temporal factors’ data. The proposed method can efficiently process the historical data given temporal factors and provide insightful information about the intensity of variations. After data denoising with basis splines, we reshape the time series into a 2-D latent space using Principal Component Analysis (PCA) according to the type of analysis. Pairwise K-means clustering is then applied after anomaly elimination with DBSCAN to derive Adjusted Rand Index (ARI) matrices. Finally, these matrices are then systematically used to find similar patterns of different temporal perspectives. Multiple analyses are carried out with real data from Melbourne, Australia. Dissimilarities with intensities of up to 80% are detected that are not detectable with general clustering approaches.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43592297","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 : 2023-03-02DOI: 10.1080/21680566.2023.2185498
Hao Hu, Xiang Li, Minghu Ha, Xiaosheng Wang, C. Shang, Qiang Shen
Reasonable transportation risk models are conducive to achieving the green reform of hazardous material logistics industry. However, existing multi-depot vehicle routing programming models for hazardous material transportation may result in overemphasis on either global risk or local risk. To overcome such shortcomings, we develop two novel two-stage programming models that consider weight variety in risk measures. The ordered weighted averaging risk-based model effectively reduces both the global risk and the maximum local risk with respect to the weight distribution in the aggregation process of local risks, and the state variable weight risk-based model helps reduce the global risk and the maximum local risk based on the variable weights associated with local risk values. Furthermore, we design a constraint reduction mechanism and a variable neighbourhood search-based hybrid parallel genetic algorithm to handle the proposed models, such that they could rapidly reach the near-optimal solution using multiplication processors. Experimental investigations demonstrate that the proposed models achieve a good balance between overall risk and local risk, and proposed algorithm can obtain a satisfactory approximate solution within an acceptable time frame.
{"title":"Multi-depot vehicle routing programming for hazmat transportation with weight variation risk","authors":"Hao Hu, Xiang Li, Minghu Ha, Xiaosheng Wang, C. Shang, Qiang Shen","doi":"10.1080/21680566.2023.2185498","DOIUrl":"https://doi.org/10.1080/21680566.2023.2185498","url":null,"abstract":"Reasonable transportation risk models are conducive to achieving the green reform of hazardous material logistics industry. However, existing multi-depot vehicle routing programming models for hazardous material transportation may result in overemphasis on either global risk or local risk. To overcome such shortcomings, we develop two novel two-stage programming models that consider weight variety in risk measures. The ordered weighted averaging risk-based model effectively reduces both the global risk and the maximum local risk with respect to the weight distribution in the aggregation process of local risks, and the state variable weight risk-based model helps reduce the global risk and the maximum local risk based on the variable weights associated with local risk values. Furthermore, we design a constraint reduction mechanism and a variable neighbourhood search-based hybrid parallel genetic algorithm to handle the proposed models, such that they could rapidly reach the near-optimal solution using multiplication processors. Experimental investigations demonstrate that the proposed models achieve a good balance between overall risk and local risk, and proposed algorithm can obtain a satisfactory approximate solution within an acceptable time frame.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47167748","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 : 2023-03-02DOI: 10.1080/21680566.2023.2179461
Can Li, Lei Bai, Lina Yao, S. Travis Waller, Wei Liu
Transportation is the backbone of the economy and urban development. Improving the efficiency, sustainability, resilience, and intelligence of transportation systems is critical and also challenging. The constantly changing traffic conditions, the uncertain influence of external factors (e.g. weather, accidents), and the interactions among multiple travel modes and multi-type flows result in the dynamic and stochastic natures of transportation systems. The planning, operation, and control of transportation systems require flexible and adaptable strategies in order to deal with uncertainty, non-linearity, variability, and high complexity. In this context, Reinforcement Learning (RL) that enables autonomous decision-makers to interact with the complex environment, learn from the experiences, and select optimal actions has been rapidly emerging as one of the most useful approaches for smart transportation applications. This paper conducts a bibliometric analysis to identify the development of RL-based methods for transportation applications, representative journals/conferences, and leading topics in recent 10 years. Then, this paper presents a comprehensive literature review on applications of RL in transportation based on specific topics. The potential future research directions of RL applications and developments are also discussed.
{"title":"A bibliometric analysis and review on reinforcement learning for transportation applications","authors":"Can Li, Lei Bai, Lina Yao, S. Travis Waller, Wei Liu","doi":"10.1080/21680566.2023.2179461","DOIUrl":"https://doi.org/10.1080/21680566.2023.2179461","url":null,"abstract":"Transportation is the backbone of the economy and urban development. Improving the efficiency, sustainability, resilience, and intelligence of transportation systems is critical and also challenging. The constantly changing traffic conditions, the uncertain influence of external factors (e.g. weather, accidents), and the interactions among multiple travel modes and multi-type flows result in the dynamic and stochastic natures of transportation systems. The planning, operation, and control of transportation systems require flexible and adaptable strategies in order to deal with uncertainty, non-linearity, variability, and high complexity. In this context, Reinforcement Learning (RL) that enables autonomous decision-makers to interact with the complex environment, learn from the experiences, and select optimal actions has been rapidly emerging as one of the most useful approaches for smart transportation applications. This paper conducts a bibliometric analysis to identify the development of RL-based methods for transportation applications, representative journals/conferences, and leading topics in recent 10 years. Then, this paper presents a comprehensive literature review on applications of RL in transportation based on specific topics. The potential future research directions of RL applications and developments are also discussed.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135423991","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 : 2023-03-02DOI: 10.1080/21680566.2023.2176274
O. Cats, S. Derrible, Joseph Y. J. Chow
This Editorial Note accompanies the special issue devoted to the development of new concepts, theories and methods that address reliability and resilience related to the planning, dynamic operation, and level of service of novel mobility systems. This special issue on âĂŸReliability and ResilienceofEmergingMobilitySystemsâĂŹconsistsofsevenpaperswhicharededicatedtomethodologicalandtheoreticaldevelopmentsaswellasadvancedapplicationsinthisdomain.Severalofthecontributionsorigi-natedfromworkspresentedatINSTR2021(the8thInternationalSympo-siumonTransportNetworkReliability).InthisEditorialnotewereflecton thecontributionsmadeineachofthearticlesincludedinthisspecialissue.
{"title":"Special issue on “Reliability and resilience of emerging mobility systems”, an editorial note","authors":"O. Cats, S. Derrible, Joseph Y. J. Chow","doi":"10.1080/21680566.2023.2176274","DOIUrl":"https://doi.org/10.1080/21680566.2023.2176274","url":null,"abstract":"This Editorial Note accompanies the special issue devoted to the development of new concepts, theories and methods that address reliability and resilience related to the planning, dynamic operation, and level of service of novel mobility systems. This special issue on âĂŸReliability and ResilienceofEmergingMobilitySystemsâĂŹconsistsofsevenpaperswhicharededicatedtomethodologicalandtheoreticaldevelopmentsaswellasadvancedapplicationsinthisdomain.Severalofthecontributionsorigi-natedfromworkspresentedatINSTR2021(the8thInternationalSympo-siumonTransportNetworkReliability).InthisEditorialnotewereflecton thecontributionsmadeineachofthearticlesincludedinthisspecialissue.","PeriodicalId":48872,"journal":{"name":"Transportmetrica B-Transport Dynamics","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41841544","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}
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