Lu Hu , Zikang Chen , Weiyao Xu , Boyu Hou , Haowei Deng , Zhihong Yao
{"title":"Integrating virtual obstacle into variable speed limit control for highways in connected traffic environments","authors":"Lu Hu , Zikang Chen , Weiyao Xu , Boyu Hou , Haowei Deng , Zhihong Yao","doi":"10.1080/19427867.2025.2464784","DOIUrl":"10.1080/19427867.2025.2464784","url":null,"abstract":"<div><div>Variable speed limits (VSL), as a global control mechanism, present challenges in accurately regulating traffic flow on highway local road segments. This paper incorporates a novel virtual obstacle (VO) control into VSL with time-varying control sections in a connected environment to balance global and local traffic management. VO control dynamically creates, adjusts, and removes virtual obstacles to form controllable artificial bottlenecks. A highway traffic flow network model is first developed based on a link queue model, considering the effects of VSL and VO. Variable link length describes the time-varying VSL control section and VO position. Then, a multi-objective function is introduced within the model predictive control framework. An improved genetic algorithm is employed to optimize speed limits and control sections of the VSL, as well as the position and width of the VO. Experimental results indicate that the proposed coordinated control method effectively alleviates congestion compared to the VSL control.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1497-1512"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yang Ding , Xiaohua Zhao , Pengwei Yan , Ying Yao , Haiyi Yang
{"title":"Safety efficiency assessment of online car-hailing drivers based on the nonparametric method","authors":"Yang Ding , Xiaohua Zhao , Pengwei Yan , Ying Yao , Haiyi Yang","doi":"10.1080/19427867.2025.2463745","DOIUrl":"10.1080/19427867.2025.2463745","url":null,"abstract":"<div><div>This study introduces a novel driver safety evaluation method for online car-hailing drivers, focusing on dangerous driving behaviors. By analyzing data from 97 drivers over one month, including the frequencies of dangerous behaviors and driving distances, we develop a methodological framework integrating Data Envelopment Analysis (DEA) and the Super-Efficiency DEA model. This framework dynamically links dangerous driving behaviors to driving risk, calculates driver safety efficiency, and ranks driving safety. It also offers behavioral improvement advice to poorly performing drivers based on slack variables. Compared to traditional models such as EWM-TOPSIS and Critic-TOPSIS, our method exhibits superior stability and provides a more individualized and objective assessment. The DEA model effectively ranks driver safety performance, highlighting its advantages over TOPSIS in handling multiple inputs and outputs without predefined weights. This research offers valuable insights for online car-hailing companies to identify high-risk drivers and implement targeted safety training programs.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1486-1496"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling the traffic accident probability of Urban roads based on an improved Bayesian network","authors":"Minqing Zhu , Peng Shi , Hongjun Cui , Xueqing Li","doi":"10.1080/19427867.2024.2447167","DOIUrl":"10.1080/19427867.2024.2447167","url":null,"abstract":"<div><div>Urban road traffic accidents are severely threatening the safety of human life and property. In this study, the Random Forest (RF) algorithm was used to identify the significant risk factors of road section accidents and intersection accidents, and a probability prediction model of urban road traffic accidents based on the improved Bayesian network (IBN) was constructed. Next, a method is proposed to identify the accident-prone points on urban roads. The study results showed that: (1) There are significant differences in the factors influencing the probability of accidents at road sections and intersections. (2) When different combinations of influencing factors change, the probability of accidents at road sections and intersections also changes. Finally, based on the data from road sections and intersections in Tianjin, accident probability thresholds of 10.28% and 6.69% respectively have been determined, which can accurately identify the accident-prone points on urban roads.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 8","pages":"Pages 1361-1374"},"PeriodicalIF":3.3,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Changfeng Zhu , Jinxiu Jia , Jie Wang , Jinhao Fang , Linna Cheng
{"title":"Effective passenger flow congestion propagation model for multi-mode rail transit networks","authors":"Changfeng Zhu , Jinxiu Jia , Jie Wang , Jinhao Fang , Linna Cheng","doi":"10.1080/19427867.2024.2418215","DOIUrl":"10.1080/19427867.2024.2418215","url":null,"abstract":"<div><div>During peak passenger flow periods, congestion propagation directly affects the operational safety and efficiency of multi-mode rail transit interconnections. By analyzing the key factors affecting congestion propagation, such as the train stop schedule, and considering parameters such as the basic reproduction number and propagation threshold, this study proposes a multi-mode rail transit susceptible-infected-recovered-susceptible (MRT-SIRS) epidemic model to analyze passenger flow congestion propagation. Simulation experiments and sensitivity analyses using data from the multi-mode rail transit in Beijing, China, were conducted to examine the influence mechanism of key factors on congestion propagation. The degree of influence of each factor was investigated using Gray correlation analysis. Each key factor, including the propagation and recovery rates, influences congestion propagation differently. The results of this study may provide theoretical support for the efficient operation and management of multi-mode rail transit systems.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1182-1198"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Last train schedule optimization for metro systems considering minimum adjustment cost under elastic passenger demand","authors":"Wei Li , Ruicai Peng , Qin Luo","doi":"10.1080/19427867.2024.2436168","DOIUrl":"10.1080/19427867.2024.2436168","url":null,"abstract":"<div><div>Optimizing the last train schedule is challenged by the elastic nature of passenger flow and the immutability of the schedule once announced to the public. The elastic passenger demand is first mathematically described, and an optimization method is proposed to minimize the adjustment to the last trains while maximizing the accessible passengers within the metro network. Linearization techniques are then employed to transform it into a linear programming form. The proposed method is verified through a real-world case study, which indicate an 8.4% increase in accessible passenger flow on a weekday with adjustments required for only 3 lines and 10 stations’ last train times. In a special event scenario, a 9.8% is achieved with adjustments to 2 lines and 8 stations’ last train times. The results suggest that for existing metro systems, judiciously adjusting the last train times can effectively enhance the overall level of nighttime operational service.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1302-1319"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kadir Akgol , Emre Demir , Ibrahim Aydogdu , Yetis Sazi Murat
{"title":"Efficiency in public transportation: a new flow direction method for optimizing multi-route networks","authors":"Kadir Akgol , Emre Demir , Ibrahim Aydogdu , Yetis Sazi Murat","doi":"10.1080/19427867.2024.2437849","DOIUrl":"10.1080/19427867.2024.2437849","url":null,"abstract":"<div><div>Transit users generally travel between different pairs of stops on the transit line. Therefore, decision-makers should consider the route designs for each passenger’s benefit. In this study, the factor of the number of public transit passengers is combined with trip coefficients such as the route circuity coefficient used to determine the efficiency of public transportation (PT) vehicles. The flow direction performance (FDP), a novel criterion based on the circuity coefficient in PT, is developed. Accordingly, the flow direction method (FDM) a new hybrid metaheuristic optimization method that determines the optimum PT routes, is created. FDM calculates the optimum routes between several predetermined origin points and terminal points. Both sequences of stations and the transit route are optimized at the same time. We tested FDM’s performance on 2 benchmark and 3 real case network samples. Test results show the effectiveness of FDP and robustness of FDM on multi-route problems.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1320-1332"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring disparities and similarities in daily travel mode choices between electric vehicle owners and internal combustion engine vehicle owners","authors":"Kai Liu , Yuan Xu","doi":"10.1080/19427867.2024.2416314","DOIUrl":"10.1080/19427867.2024.2416314","url":null,"abstract":"<div><div>This study proposes a novel instrument for measuring private car owners’ travel-related lifestyle (PCTRL) based on a survey (<em>N</em> = 2045) conducted in China’s four first-tier cities and ten quasi first-tier cities. By employing principal component analysis (PCA) and cluster analysis, the study classifies electric vhehicle (EV) owners and internal combustion engine vehicle (ICEV) owners into five distinct PCTRL segments, respectively. The findings reveal that only 66% of EV owners have similar PCTRLs to 67% of ICEV owners, with the most notable disparity being the higher likelihood of EV owners choosing private cars for their daily commutes. Furthermore, a random forest model was developed to predict the daily activity-based travel mode choices behavior of both EV and ICEV owners. The findings offer valuable insights into understanding the behavior of EV and ICEV owners in their daily travel mode choices and help formulating more effective traffic management strategies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1155-1170"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of gap-based and flow-based control strategies using a new controlled stochastic cellular automaton model for traffic flow","authors":"Kayo Kinjo , Akiyasu Tomoeda","doi":"10.1080/19427867.2024.2417150","DOIUrl":"10.1080/19427867.2024.2417150","url":null,"abstract":"<div><div>Autonomous vehicles are essential to future transportation systems, potentially reducing traffic congestion. This study examines the impact of different vehicle control strategies on traffic flow through simulations. We propose a novel stochastic cellular automaton model, the controlled stochastic optimal velocity (CSOV) model, which incorporates vehicle control effects. Within the CSOV model, two control strategies are implemented: gap-based control (GC), which adjusts vehicle velocity to balance the gaps between adjacent vehicles, and flow-based control (FC), which aims to maintain a consistent local flow between the front and rear vehicles. Results show that both control strategies improve traffic flow. However, under weaker control, the GC sometimes resulted in lower flow compared to no control. In contrast, the FC consistently enhanced flow across control strengths, yielding more robust outcomes. Furthermore, when both strategies achieved comparable flow rates, the FC provided a more stable velocity distribution under varying traffic densities than the GC.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1171-1181"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hao Tong , Chengcheng Xu , Qi Ai , Weilin Ren , Changshuai Wang , Chang Peng , Yanli Jiao
{"title":"Developing a jam-absorption strategy for mixed traffic flow at signalized intersections using deep reinforcement learning","authors":"Hao Tong , Chengcheng Xu , Qi Ai , Weilin Ren , Changshuai Wang , Chang Peng , Yanli Jiao","doi":"10.1080/19427867.2024.2426795","DOIUrl":"10.1080/19427867.2024.2426795","url":null,"abstract":"<div><div>Jam-absorption driving (JAD) can effectively prevent the generation and propagation of traffic oscillation. To alleviate the traffic congestion in the signalized intersection with mixed traffic flow, including human driving vehicles (HDVs) and connected and automated vehicles (CAVs), this study provides a jam-absorption driving strategy based on the traffic delay prediction of the mixed platoon under traffic congestion. An online traffic congestion prediction method with the objective of JAD is proposed and focuses on the leaving state of the trajectory to achieve fast capture of congestion features. Then, with real-time status and prediction information, we develop a Jam-absorption driving strategy based on a deep reinforcement learning (DRL) model to improve adaptability to the mixed traffic environment. The results show that this strategy can suppress more than 70% of traffic oscillations with excellent execution efficiency, improving traffic safety and efficiency.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1251-1262"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiyuan Jiang , Yizheng Wu , Jian Sun , Yuxin Wang , Shuochen Zhang , Lewen Wang , Weinan He
{"title":"Is a dedicated bus lane operationally and environmentally beneficial? A case study in Beijing","authors":"Qiyuan Jiang , Yizheng Wu , Jian Sun , Yuxin Wang , Shuochen Zhang , Lewen Wang , Weinan He","doi":"10.1080/19427867.2024.2439349","DOIUrl":"10.1080/19427867.2024.2439349","url":null,"abstract":"<div><div>In 2023, Beijing adjusted dedicated bus lane (DBL) policies, allowing private car access during specific periods to improve road transport efficiency. This study proposes a comprehensive method to assess the operational and environmental impact of DBL adjustments. Traffic volumes are estimated using a localized traffic fundamental diagram model based on large-scale floating car speed data, while vehicle emissions are quantified employing a high-resolution road network emission inventory. Results show over 20% increased traffic volumes and 10% higher average speed on DBLs in central Beijing. Extended to regional road network, the adjustments enhance expressway capacity and improve traffic efficiency on main and minor arterial roads. While total emissions on expressways increase due to heightened traffic volumes, average vehicular emission intensities in urban areas decrease because of smoother traffic flow. These findings could provide valuable insights for decision-makers with the information needed to target reasonable DBL policies in metropolitan regions.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1333-1347"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}