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学者姓名：王书易
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在考虑公交与地铁之间换乘需求的情况下，提出了一种全天的公交时刻表优化方法。首先，构建了一个优化模型，旨在最小化乘客候车时间成本和公交企业运营成本。然后，设计了遗传-模拟退火混合算法进行求解。最后，以福州市公交1路上行方向为例，验证了本文模型及算法的有效性和实用性。时刻表优化后，B-M模式、M-B模式和非换乘模式下乘客候车时间成本平均降低了19.30%，公交企业运营成本由于公交发车次数的增加而提升了4.95%，系统总成本节约了5.05%。
Keyword ：
候车时间 候车时间 城市交通 城市交通 换乘需求 换乘需求 时刻表优化 时刻表优化 遗传-模拟退火混合算法 遗传-模拟退火混合算法
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| GB/T 7714 | 赖元文 , 陈艳生 , 王书易 et al. 考虑公交与地铁换乘需求的公交时刻表优化 [J]. | 吉林大学学报(工学版) , 2025 , 55 (06) : 2030-2037 . |
| MLA | 赖元文 et al. "考虑公交与地铁换乘需求的公交时刻表优化" . | 吉林大学学报(工学版) 55 . 06 (2025) : 2030-2037 . |
| APA | 赖元文 , 陈艳生 , 王书易 , 张宇龙 , 朱新运 . 考虑公交与地铁换乘需求的公交时刻表优化 . | 吉林大学学报(工学版) , 2025 , 55 (06) , 2030-2037 . |
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It is anticipated that roadside infrastructure sensing units (ISU) can cooperatively work with intelligent and connected vehicles (ICVs) to perceive traffic scenes more accurately when ICVs increasingly penetrate the market. However, the dynamic occlusion issue may still impair the cooperative vehicle-infrastructure perception capability (CVIPC). This study addresses the lack of an effective method for placing ISUs to augment CVIPC in a partially connected traffic environment. This study introduces probabilistic occupancy grids (POGs) to model the uncertainty of dynamic occlusions. The ground truth POG is estimated with a co-simulation method, while the observed POG by ISUs and ICVs are estimated using the proposed occlusion-considered ray-tracing algorithm. The cross entropy (CE) is applied to measure the difference between the ground truth and observed POGs and is used as a surrogate metric for estimating CVIPC. Setting ISUs’ placement parameters and POG-based CE as decision variables and the objective, respectively, Bayesian optimization (BO) is integrated with the multi-agent deep reinforcement learning (DRL) to maximize CVIPC. The test results imply that combining BO and DRL can outperform BO in optimizing ISUs’ placement. Compared to the simulation-in-the-loop optimization, the surrogate metric -based framework can achieve faster optimization with a small compromise on the optimized CVIPC measured by intersection over union. Traffic volume, traffic composition and ICV penetration rate all substantially affect CVIPC. In the test cases, as the ICV penetration rate reaches 50%, the observed POG is very close to the ground truth POG, and a further increase in the number of ICVs does not substantially contribute to improving CVIPC. © 2014 IEEE.
Keyword ：
Cooperative vehicle-infrastructure perception Cooperative vehicle-infrastructure perception placement optimization placement optimization probabilistic occupancy grid probabilistic occupancy grid reinforcement learning reinforcement learning traffic simulation traffic simulation
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| GB/T 7714 | Zheng, Y. , Ma, Y. , Wang, S. et al. A Surrogate Metric-based Framework for Placing Infrastructure Sensing Units to Enhance Cooperative Vehicle-Infrastructure Perception [J]. | IEEE Internet of Things Journal , 2025 , 12 (13) : 25089-25104 . |
| MLA | Zheng, Y. et al. "A Surrogate Metric-based Framework for Placing Infrastructure Sensing Units to Enhance Cooperative Vehicle-Infrastructure Perception" . | IEEE Internet of Things Journal 12 . 13 (2025) : 25089-25104 . |
| APA | Zheng, Y. , Ma, Y. , Wang, S. , Feng, Z. , Wong, Y.D. , Easa, S. . A Surrogate Metric-based Framework for Placing Infrastructure Sensing Units to Enhance Cooperative Vehicle-Infrastructure Perception . | IEEE Internet of Things Journal , 2025 , 12 (13) , 25089-25104 . |
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Unplanned subway interval disruptions caused by equipment failures frequently occur in major cities around the world. It is crucial to ensure that passengers can complete their subsequent travel with less delay. Using bridging buses to evacuate passengers is currently the most common response strategy used by management, but in actual operation there are problems with unclear passenger demand and inefficient connections. To address this gap, we developed a passenger travel behavior decision-making model based on cumulative prospect theory and an emergency bus bridging model. The models serve two primary purposes: (1) to identify the origin-destination of affected passenger flow within the bridging zone during disruptions; and (2) to propose an integrated emergency bus bridging strategy that takes passenger demand into account. The solution efficiency of the proposed strategy is enhanced using a simulated annealing-improved genetic algorithm. We validate the model through a case study of Fuzhou Subway Line 1 in China, followed by a sensitivity analysis examining variables such as the number of emergency buses, passenger demand, subway disruption recovery time, and total passenger travel time. The results indicate that the proposed strategy significantly improves evacuation efficiency, allowing passengers to incur lower travel costs compared to baseline strategies.
Keyword ：
Cumulative prospect theory Cumulative prospect theory Emergency bridging bus scheduling Emergency bridging bus scheduling Genetic algorithm Genetic algorithm Passenger travel behavior Passenger travel behavior Simulated annealing Simulated annealing Urban transportation Urban transportation
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| GB/T 7714 | Lai, Yuanwen , Liang, Jianhong , Cai, Yuanchen et al. Subway-Emergency Bridging Strategy for Bus Scheduling Considering Passenger Travel Behavior [J]. | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2025 , 151 (7) . |
| MLA | Lai, Yuanwen et al. "Subway-Emergency Bridging Strategy for Bus Scheduling Considering Passenger Travel Behavior" . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS 151 . 7 (2025) . |
| APA | Lai, Yuanwen , Liang, Jianhong , Cai, Yuanchen , Fan, Yanhui , Lan, Ziye , Easa, Said M. et al. Subway-Emergency Bridging Strategy for Bus Scheduling Considering Passenger Travel Behavior . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2025 , 151 (7) . |
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To achieve carbon neutrality, many regions have set electrification targets for bus fleets. However, the impact of low temperatures on electric bus (EB) operations is often overlooked, leading to operational difficulties. To this end, we introduce an EB replacement discount coefficient to quantify reduced range and slower charging under low-temperature conditions and develop a Bus Fleet Replacement (BFR) model for cold regions. A case study using typical cold-region data is conducted. Finally, we discuss the effects of individual and combined policies, and parameter variations on the electrification process. The results indicate: i) replacing buses with electric ones in cold regions does not significantly increase the life cycle costs; ii) EB price subsidies and annual operational subsidies effectively accelerate electrification, and most policy combinations further reduce social costs; iii) the model can adjust replacement strategies based on case data and parameter changes. These findings support optimal BFR strategies in cold regions. © 2025 Elsevier Ltd
Keyword ：
Fleet operations Fleet operations Seebeck effect Seebeck effect
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| GB/T 7714 | Zhang, Jie , Pei, Yulong , Sun, Jianqi et al. Achieving bus electrification: Strategy for bus fleet replacement in cold region [J]. | Transportation Research Part D: Transport and Environment , 2025 , 145 . |
| MLA | Zhang, Jie et al. "Achieving bus electrification: Strategy for bus fleet replacement in cold region" . | Transportation Research Part D: Transport and Environment 145 (2025) . |
| APA | Zhang, Jie , Pei, Yulong , Sun, Jianqi , Lai, Yuanwen , Wang, Shuyi , Easa, Said M. . Achieving bus electrification: Strategy for bus fleet replacement in cold region . | Transportation Research Part D: Transport and Environment , 2025 , 145 . |
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Compared to open roads, highway tunnels' continuous semi-enclosed wall structures exacerbate sight distance challenges for vehicles equipped with automation systems (AV) in curved segments. However, AV's adaptability to existing road geometry in tunnels, which was primarily tailored for traditional human-driven vehicles, remains inconclusive. Therefore, this study aims to investigate the influence of horizontal curved-tunnel geometry on AV's available sight distance (ASD) and analyze AV's sight distance safety (SDS). To this end, we established a virtual co-simulation platform for emulating AV's ASD in diverse tunnel scenarios, which include light detection and ranging (LiDAR)-based sensing configurations and tunnel geometry combinations. On this basis, the important features related to ASD were extracted using the recursive feature elimination algorithm and several widely-used machine-learning models were developed to predict ASD estimation. The Shapley additive explanation analysis was conducted on the most performant model to interpret the feature effects. Moreover, reliability analyses under varying driving automation levels, speeds, and pavement conditions were conducted to quantify the probability of noncompliance with SDS in scenarios focusing on circular curves, followed by proposing an SDS evaluation framework. The results show that: i) random forest model outperforms other machine-learning models in predicting ASD estimation; ii) higher-type tunnel geometry, higher-end sensing configurations, driving on the outside curve lane, and higher mounting height of LiDAR achieve longer ASD; iii) lower-end sensing configurations cause ASD to be less sensitive to the tunnel geometry; iv) SDS deteriorates in the orders of moist, dry, and wet pavement conditions and automation levels 4, 3, 1, and 2; v) AV adapt to low-type highway tunnels' horizontal curves from the sight distance perspective, but may fail in high-type designs. These findings shed light on the impact mechanism of tunnel curves on AV's ASD and serve to improve AV's road-oriented operational design domain and identify the tunnel segment that is significantly non-compliant with SDS.
Keyword ：
Driving automation Driving automation Explainable machine learning Explainable machine learning Highway tunnels Highway tunnels Reliability analysis Reliability analysis Sight distance Sight distance Virtual simulation Virtual simulation
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| GB/T 7714 | Wang, Shuyi , Zhang, Jiakun , Ma, Yang et al. Sight distance analysis of vehicles with driving automation on horizontal curves of as-built highway tunnels [J]. | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY , 2025 , 163 . |
| MLA | Wang, Shuyi et al. "Sight distance analysis of vehicles with driving automation on horizontal curves of as-built highway tunnels" . | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 163 (2025) . |
| APA | Wang, Shuyi , Zhang, Jiakun , Ma, Yang , Zheng, Yuan , Yu, Bin , Jiao, Fangtong et al. Sight distance analysis of vehicles with driving automation on horizontal curves of as-built highway tunnels . | TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY , 2025 , 163 . |
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To improve the traffic efficiency of bus at a group of intersections and reduce their delay, this paper develops a speed guidance strategy for buses under travel time control at intersection groups. The approach considers the influence of bus departure time, bus station arrival rate, and bus station dwell time. Simulation experiments are carried out on three consecutive intersections along Jinshan Avenue in Fuzhou, China. Results show that the average travel time of buses, the average delay of buses, and the average delay per capita in the priority direction are reduced by 5.5%, 9.9%, and 9.4%, respectively. The optimal rate of the average number of bus stops reached 15.2%. The indicators of the non -priority direction of social vehicles are not significantly affected. It shows that the efficiency of buses has improved after implementing the speed guidance strategy at the intersection groups without affecting the social vehicles as far as possible.
Keyword ：
bus priority bus priority bus speed guidance strategy bus speed guidance strategy intersection group intersection group travel time control travel time control
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| GB/T 7714 | Lai, Yuanwen , Chen, Yansheng , Easa, Said M. et al. Guidelines for bus speed at intersections under travel time control [J]. | CANADIAN JOURNAL OF CIVIL ENGINEERING , 2024 , 51 (9) : 1041-1055 . |
| MLA | Lai, Yuanwen et al. "Guidelines for bus speed at intersections under travel time control" . | CANADIAN JOURNAL OF CIVIL ENGINEERING 51 . 9 (2024) : 1041-1055 . |
| APA | Lai, Yuanwen , Chen, Yansheng , Easa, Said M. , Ma, Zhenhong , Zhu, Xinyun , Chen, Peiyuan et al. Guidelines for bus speed at intersections under travel time control . | CANADIAN JOURNAL OF CIVIL ENGINEERING , 2024 , 51 (9) , 1041-1055 . |
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Roadside sensing units' (RSUs) perception capability may be substantially impaired by occlusion issue even they work cooperatively. However, the joint influence of static and dynamic occlusions in real-life situations remains inadequately considered in optimizing RSUs' placement. This study proposes a virtual-real-fusion simulation (VRFS) framework that combines traffic simulation and point clouds of real-world road environment to optimize RSUs' deployment. Point clouds and triangular meshes are used to model static and dynamic obstacles, respectively. A structure-retained spherical projection method is developed to efficiently emulate RSUs' data collection. Based on the developed VRFS, the probabilistic occupancy maps (POM) are created to represent traffic scenarios. The POM-based cross entropy (CE) is proposed as the surrogate metric for evaluating the detection performance of cooperative RSUs. The Bayesian optimizer is applied to optimize the RSUs' placement parameters (decision variables) by minimizing CE. Test results show that it is viable to use the POM-based CE as a proxy for evaluating cooperative RSUs' sensing performance. Considering the occlusion effect adds to the efficacy of POM-based CE as a surrogate metric. Compared with traffic volume, the adverse effect of the proportion of large vehicles on RSUs' detection performance is more significant. There are no significant patterns regarding how the optimized RSU positions vary with traffic parameters. The comparisons with existing methods further verify the importance of considering both static and dynamic occlusions in optimizing RSUs' placement. Besides, the proposed method can yield better optimization results more efficiently than existing approaches.
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| GB/T 7714 | Ma, Y. , Zheng, Y. B. , Wang, S. Y. et al. Virtual-real-fusion simulation framework for evaluating and optimizing small-spatial-scale placement of cooperative roadside sensing units [J]. | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING , 2024 , 39 (5) : 707-730 . |
| MLA | Ma, Y. et al. "Virtual-real-fusion simulation framework for evaluating and optimizing small-spatial-scale placement of cooperative roadside sensing units" . | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING 39 . 5 (2024) : 707-730 . |
| APA | Ma, Y. , Zheng, Y. B. , Wang, S. Y. , Wong, Y. D. , Easa, S. M. . Virtual-real-fusion simulation framework for evaluating and optimizing small-spatial-scale placement of cooperative roadside sensing units . | COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING , 2024 , 39 (5) , 707-730 . |
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Under the sudden interruption of the metro, it is significant to dispatch emergency bridging buses to evacuate stranded passengers to improve linkage management and service reliability. Aiming at the problem of emergency bridging bus scheduling, considering the remaining capacity of conventional buses, passenger tolerance, and site convenience, a flexible combined emergency bridging bus scheduling model is constructed based on the constraints of vehicle capacity, dispatching capacity, and maximum evacuation times of emergency bridging bus, aiming at minimizing the maximum evacuation time and passenger delay. The improved Harris hawk algorithm is used to solve the model, and the evacuation plan of the demand-responsive and station-station bridging lines is obtained. The maximum evacuation time is 41 min, and the average delay of stranded passengers is 19 min. The results show that the maximum evacuation time is 10% and 27% less than the fixed combined and single scheduling. The average delay is 16% and 42% less than the fixed combination and traditional single scheduling. The sensitivity analysis of the influencing factors of emergency bridging bus scheduling is conducted. The results show that the flexible combined emergency bridging bus scheduling model constructed in this paper can improve evacuation efficiency and reduce passenger travel delays. image
Keyword ：
emergency services emergency services public transport public transport railway safety railway safety
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| GB/T 7714 | Lai, Yuanwen , Liang, Jianhong , Rao, Yinsheng et al. Flexible optimal bus-schedule bridging for metro operation-interruption [J]. | IET INTELLIGENT TRANSPORT SYSTEMS , 2024 , 18 (7) : 1306-1323 . |
| MLA | Lai, Yuanwen et al. "Flexible optimal bus-schedule bridging for metro operation-interruption" . | IET INTELLIGENT TRANSPORT SYSTEMS 18 . 7 (2024) : 1306-1323 . |
| APA | Lai, Yuanwen , Liang, Jianhong , Rao, Yinsheng , Fan, Yanhui , Zhan, Renyan , Easa, Said et al. Flexible optimal bus-schedule bridging for metro operation-interruption . | IET INTELLIGENT TRANSPORT SYSTEMS , 2024 , 18 (7) , 1306-1323 . |
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This study focuses on solving the problem of metro first/last mile, studying the method for designing microcirculation bus routes and coordinating schedules considering the impact of shared bicycles. First, we propose a bilevel mixed-integer programming model for designing microcirculation bus routes and coordinating schedules considering the impact of shared bicycles. The upper-level model minimizes the weighted sum of the travel time cost of passengers and the operating cost of public transport enterprises, and the lower-level model maximizes the number of passengers served by microcirculation bus routes. Then, an improved genetic algorithm is developed to solve the model, called the Monte Carlo adaptive genetic algorithm (M-GAI). Finally, the proposed model and algorithm are evaluated using the case study in the area near the Fubao metro station of Shenzhen Metro Line 3. Results show that if the impact of shared bicycles is not considered, the passenger demand will be greater than the actual value, and the operating cost of public transport enterprises will be increased by 36%. Compared with GAI, the average number of iterations of M-GAI is reduced by 31%, and the objective function value is decreased by 4%. In addition, when the number of routes increases, the average waiting time of passengers is shortened, the average attendance rate of microcirculation buses increases, and the average empty distance of each vehicle is shortened. However, the operating cost of public transport enterprises will increase with the number of routes. Finally, when weight factors alpha and beta are 0.6 and 0.4, respectively, and the sum of the travel time cost of passengers and the operating cost of public transport enterprises reach optimal.
Keyword ：
Bilevel mixed-integer programming model Bilevel mixed-integer programming model Coordinated schedules Coordinated schedules Microcirculation bus routes design Microcirculation bus routes design Monte Carlo adaptive genetic algorithm (M-GAI) Monte Carlo adaptive genetic algorithm (M-GAI) Public transport Public transport Shared bicycle Shared bicycle
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| GB/T 7714 | Chen, Yansheng , Lai, Yuanwen , Easa, Said M. et al. Microcirculation Bus Routes Design and Coordinated Schedules Considering the Impact of Shared Bicycles [J]. | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2024 , 150 (10) . |
| MLA | Chen, Yansheng et al. "Microcirculation Bus Routes Design and Coordinated Schedules Considering the Impact of Shared Bicycles" . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS 150 . 10 (2024) . |
| APA | Chen, Yansheng , Lai, Yuanwen , Easa, Said M. , Wang, Shuyi . Microcirculation Bus Routes Design and Coordinated Schedules Considering the Impact of Shared Bicycles . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2024 , 150 (10) . |
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Automated vehicles equipped with adaptive cruise control systems (ACC-AVs) are prevalent and the ensuing issue is the feasibility of ACC-AVs' operation on the roads. This study investigates the feasibility of road horizontal curve designs for ACC-AVs from a vehicle dynamics perspective. Following the scenario generation framework, we created and tested several scenarios featuring horizontal geometric elements and design speeds, conducting a safety evaluation based on the critical adhesion coefficient, lateral acceleration, lateral-load transfer rate, together with driving comfort indicators. Results indicate that ACC-AV can navigate on road curves designed with a common minimum radius (Rmin_com) effectively at speeds over 60 km/h, comparable to conventional vehicles. However, both Rmin_com and limited minimum radius (Rmin_lim) designs show limitations. Additionally, the feasible radius ranges for ACC-AV reveal the capability to safely handle sharper curves and maintain higher speeds, suggesting potential for adaptable road design in complex environments. Finally, minimum radius ranges were summarized for ACC-AV safe and comfortable operation on road curves, unveiling the potential risks and reminding designers in curve design controls for ACC-AVs.
Keyword ：
Automated vehicles (AVs) Automated vehicles (AVs) Dynamics performance Dynamics performance Road geometry design Road geometry design Road horizontal curves Road horizontal curves Road safety assessment Road safety assessment Virtual simulation Virtual simulation
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| GB/T 7714 | Cai, Mingmao , Zhou, Wen , Wang, Shuyi et al. Road Geometry Feasibility for Automated Vehicles with ACC Systems: Vehicle Dynamics on Curved Roads [J]. | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2024 , 150 (10) . |
| MLA | Cai, Mingmao et al. "Road Geometry Feasibility for Automated Vehicles with ACC Systems: Vehicle Dynamics on Curved Roads" . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS 150 . 10 (2024) . |
| APA | Cai, Mingmao , Zhou, Wen , Wang, Shuyi , Mao, Chengyang , Liu, Qi , Yu, Bin . Road Geometry Feasibility for Automated Vehicles with ACC Systems: Vehicle Dynamics on Curved Roads . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2024 , 150 (10) . |
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