Transportation Letters-The International Journal of Transportation Research最新文献

英文中文

Traffic flow forecasting based on augmented multi-component recurrent graph attention network 基于增强多分量循环图注意网络的交通流预测

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2025.2450577

Yuan Yao , Linlong Chen , Xianchen Wang , Xiaojun Wu

Accurate real-time traffic flow forecasting has been a challenge due to the complex spatial–temporal dependencies and uncertainties associated with the dynamic changes in traffic flow. To overcome this problem, a traffic flow forecasting model based on an Augmented Multi-Component Recurrent Graph Attention Network (AMR-GAT) is proposed in this paper to model the spatial–temporal correlations and periodic offset of traffic flows. This paper introduces an augmented multi-component module to address periodic temporal offset in traffic flow forecasting. It proposes an encoder-decoder architecture combining 1D convolution and LSTM via a Temporal Correlation Learner (TCL) to capture temporal characteristics, while a Graph Attention Network (GAT) handles spatial features. TCL and GAT are integrated to manage spatial-temporal correlations, and the decoder uses TCL and convolutional neural networks to generate high-dimensional representations based on spatial-temporal sequences. Experiments on two datasets demonstrate superior prediction performance of the proposed AMR-GAT model.

由于交通流的动态变化具有复杂的时空依赖性和不确定性，对交通流进行准确的实时预测一直是一个挑战。为了克服这一问题，本文提出了一种基于增强多分量循环图注意网络（AMR-GAT）的交通流预测模型，以模拟交通流的时空相关性和周期偏移。针对交通流预测中的周期性时间偏移问题，提出了一种增强型多分量模型。它提出了一种结合1D卷积和LSTM的编码器-解码器架构，通过时间相关学习器（TCL）捕获时间特征，而图注意网络（GAT）处理空间特征。该解码器集成TCL和GAT来管理时空相关性，并使用TCL和卷积神经网络生成基于时空序列的高维表示。在两个数据集上的实验表明，所提出的AMR-GAT模型具有较好的预测性能。

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引用次数: 0

A system dynamics approach for assessing the impacts of autonomous vehicles on collision frequency 自动驾驶汽车碰撞频率影响评估的系统动力学方法

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2025.2452725

Ali Farhan , Lina Kattan , Nigel Waters , Richard Tay

This study employs a System Dynamics (SD) approach to assess the long-term impact of Autonomous Vehicles (AVs) on traffic collisions. By modeling key variables affecting collision frequency, the SD framework represents existing transportation systems and incorporates AV adoption to evaluate changes in collision rates. The models predict the frequency of Property Damage Only (PDO) and Fatal-Injury (FI) collisions at different levels of AV market penetration. Two policy scenarios are examined: incentives for shared AVs and higher occupancy rates for shared AV services. Results indicate significant improvements in traffic safety as AV penetration increases, particularly when coupled with shared AV usage and advanced sensing and communication technologies. The models provide valuable insights into the complex interactions between AVs and collision-related factors. These findings support the development of effective policies to guide the adoption of AV technology, reduce accidents, and enhance overall road safety in the long term.

本研究采用系统动力学（SD）方法评估自动驾驶汽车（AVs）对交通碰撞的长期影响。通过对影响碰撞频率的关键变量进行建模，SD框架代表了现有的交通系统，并结合自动驾驶汽车的采用来评估碰撞率的变化。这些模型预测了在不同的自动驾驶汽车市场渗透率水平下，仅财产损害（PDO）和致命伤害（FI）碰撞的频率。研究了两种政策情景：共享自动驾驶汽车的激励措施和共享自动驾驶汽车服务的更高入住率。研究结果表明，随着自动驾驶汽车普及率的提高，尤其是与共享自动驾驶汽车和先进的传感和通信技术相结合，交通安全得到了显著改善。这些模型为自动驾驶汽车与碰撞相关因素之间的复杂相互作用提供了有价值的见解。这些研究结果支持制定有效的政策，以指导自动驾驶技术的采用，减少事故，并从长远来看提高整体道路安全。

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引用次数: 0

Optimizing the train timetable considering cross-line operation in the urban rail transit network 考虑城市轨道交通网络跨线运行的列车时刻表优化

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2025.2470456

Junsheng Huang , Qin Luo , Kang Huang

Cross-line operation stands out as one of the emerging new metro operations. This paper investigates the cooperative optimization of cross-line train stopping/overtaking schemes, and train timetables on the metro network under cross-line operation. To describe passengers’ traveling process, a travel path alternative set generation method based on rational passengers is proposed, which proactively distinguishes the travel paths of passengers. For a given passenger travel path, the paper adopts a passenger pre-classification method, dividing passengers into four groups, to separately calculate their travel time. The model’s optimization objective is to minimize the travel time of passengers across the entire network. To enhance the efficiency of the model solution, a two-stage algorithm with a search strategy is introduced. To demonstrate the correctness of the model and the effectiveness of the algorithm, the model is applied to a network comprising 4 lines and 39 stations. Comparing with split-line operation, the results demonstrate that cross-line operations can achieve an approximate 11.32% reduction in network-wide passenger travel time and a substantial 67.09% reduction in network-wide transfer flow. Finally, this paper conducts a set of sensitivity analyses to summarize the characteristics of cross-line train operation and provides recommended combinations for passengers choosing the train service.

跨线运营是新兴的地铁运营方式之一。本文研究了跨线运营下地铁网络列车停/超车方案和列车时刻表的协同优化问题。为了描述乘客的出行过程，提出了一种基于理性乘客的出行路径备选集生成方法，该方法能够主动区分乘客的出行路径。对于给定的乘客出行路径，本文采用乘客预分类方法，将乘客分为四组，分别计算其出行时间。该模型的优化目标是使整个网络中乘客的出行时间最小。为了提高模型求解的效率，引入了一种带搜索策略的两阶段算法。为了验证该模型的正确性和算法的有效性，将该模型应用于一个包含4条线路和39个站点的网络。结果表明，与分线运营相比，跨线运营可使全网旅客出行时间减少约11.32%，全网换乘流量减少67.09%。最后，通过一组敏感性分析，总结出跨线列车运营的特点，为旅客选择列车服务提供推荐组合。

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引用次数: 0

A comparative study of public transport commuters’ travel choice for autonomous vehicles from a travel experience perspective 基于出行体验视角的公共交通通勤者对自动驾驶汽车出行选择的比较研究

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2025.2463027

Huanmei Qin , Binhai Yu , Yonghuan Zhang , Meina Cheng , Zhaolin Lu

The application of autonomous vehicles (AVs) will offer a novel travel option for public transport users in the future. To analyze their choice preferences regarding AVs, this study conducted an experience-based stated choice survey in two hypothetical commuting scenarios. The survey was administered in Beijing and a total of 213 samples were collected. Travel choice models incorporating experienced perceptions and attitudes were formulated to identify public transport commuters’ preferences regarding AVs. It is concluded that hands-on travel experience has enhanced commuters’ overall perception of traveling with AVs. Travel cost is their primary concern, followed by travel time and comfort. Holding more positive attitudes and improved perceptions of AVs would increase their choice of SAVs. Additionally, this shift may lead to decreased passenger flow for public transport and increased traffic flow in the road network. The research findings can provide insight into transport policies for future transportation systems.

自动驾驶汽车（AVs）的应用将为未来的公共交通用户提供一种新的出行选择。为了分析他们对自动驾驶汽车的选择偏好，本研究在两种假设的通勤情景中进行了基于经验的陈述选择调查。调查在北京进行，共收集了213份样本。结合经验感知和态度，制定了出行选择模型，以确定公共交通通勤者对自动驾驶汽车的偏好。综上所述，亲身体验增强了通勤者对自动驾驶汽车出行的整体认知。他们最关心的是旅行费用，其次是旅行时间和旅行舒适度。对av持有更积极的态度和更好的认知会增加他们对av的选择。此外，这种转变可能导致公共交通的客流减少，道路网络的交通流量增加。研究结果可以为未来交通系统的交通政策提供见解。

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引用次数: 0

Mobile charging service optimization for electric vehicles 电动汽车移动充电服务优化

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2024.2448783

Dong Qiao , Guangmin Wang , Meng Xu

Mobile charging stations (MCSs) offer flexible, portable, and scalable alternatives to fixed charging stations (FCSs) for electric vehicles. To develop a cost-effective and efficient mobile charging fleet, this study proposes a bi-objective programming model to address the joint scheduling and routing problem of MCSs considering the layout of FCSs. The objectives are to minimize the total travel distance of MCSs and maximize the system coverage level. The weighted sum method and linear relaxation technique are employed to transform the proposed model into a single-objective integer linear programming model solved by the Gurobi solver. A case study in the Futian District of Shenzhen, China shows that the integration of MCSs results in a 6.7% improvement in the system coverage level. The experimental results provide quantitative insights into the impact of various MCS configurations on objectives. Additionally, the operational data of MCSs offer valuable references for the strategic planning of FCSs.

移动充电站（mcs）为电动汽车提供了灵活、便携和可扩展的替代固定充电站（FCSs）。为了构建一个经济高效的移动充电车队，本研究提出了一种双目标规划模型，以解决考虑fcs布局的mcs联合调度和路由问题。目标是最小化mcs的总行程距离并最大化系统覆盖水平。利用加权和法和线性松弛技术将该模型转化为单目标整数线性规划模型，并用Gurobi求解器求解。以深圳福田区为例研究表明，mcs的整合使系统覆盖水平提高了6.7%。实验结果为不同MCS配置对物镜的影响提供了定量的见解。此外，mcs的运行数据为fcs的战略规划提供了有价值的参考。

引用次数: 0

Understanding work-arrangement choices: factors and implications 理解工作安排选择：因素和影响

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2025.2456364

Md Asif Hasan Anik , Muhammad Ahsanul Habib

Information and communication technologies (ICTs) have spurred new work arrangements, yet factors influencing these choices remain unclear. This study employs mixed-logit modeling to investigate the determinants of work arrangements—’fully work-from-home (WFH),’ ‘hybrid,’ and ‘no WFH’ – and their impact on activity-travel behavior. Conducted in Halifax Regional Municipality, Nova Scotia, Canada, the study combines travel survey data with Census and built-environment data for analysis. Significant differences are found in activity count, work duration, vehicle kilometers traveled, and commute time among the work-arrangement groups. ‘Hybrid’ and ‘no WFH’ individuals tend to reside closer to downtown, while ‘full WFH’ individuals prefer suburban and rural areas. Results identify individual, household, and accessibility attributes as key determinants, confirming random heterogeneity among respondents. Results suggest shorter auto commute times correlate with higher likelihood of ‘no WFH’ and lower likelihood of ‘full WFH.’ This research aids policymakers and transportation professionals in developing effective travel demand management strategies.

信息和通信技术催生了新的工作安排，但影响这些选择的因素尚不清楚。本研究采用混合logit模型来调查工作安排的决定因素——“完全在家工作”、“混合”和“不在家工作”——以及它们对活动-旅行行为的影响。该研究在加拿大新斯科舍省的哈利法克斯地区进行，将旅行调查数据与人口普查和建筑环境数据相结合进行分析。在活动量、工作时长、车辆行驶公里数和通勤时间上，各工作安排组存在显著差异。“混合型”和“非WFH型”的人往往住在离市中心较近的地方，而“完全WFH型”的人更喜欢住在郊区和农村地区。结果确定了个人、家庭和可及性属性是关键决定因素，证实了受访者之间的随机异质性。研究结果表明，较短的开车通勤时间与较高的“无工作时间”和较低的“完全工作时间”相关。“这项研究有助于决策者和交通专业人士制定有效的出行需求管理策略。”

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引用次数: 0

Integrating virtual obstacle into variable speed limit control for highways in connected traffic environments 基于虚拟障碍的互联交通环境下高速公路可变限速控制

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2025.2464784

Lu Hu , Zikang Chen , Weiyao Xu , Boyu Hou , Haowei Deng , Zhihong Yao

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.

可变速度限制作为一种全局控制机制，在高速公路局部路段的交通流量精确调控方面存在挑战。本文将一种新颖的虚拟障碍控制方法引入到具有时变控制段的互联环境中，以平衡全局和局部交通管理。VO控制动态创建、调整和消除虚拟障碍，形成可控的人工瓶颈。首先基于链路队列模型建立了考虑VSL和VO影响的公路交通流网络模型。可变链路长度描述了随时间变化的VSL控制段和VO位置。然后，在模型预测控制框架中引入多目标函数。采用改进的遗传算法优化了VSL的限速和控制路段，以及VO的位置和宽度。实验结果表明，与VSL控制相比，所提出的协调控制方法有效地缓解了拥塞。

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引用次数: 0

Safety efficiency assessment of online car-hailing drivers based on the nonparametric method 基于非参数方法的网约车司机安全效率评价

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2025.2463745

Yang Ding , Xiaohua Zhao , Pengwei Yan , Ying Yao , Haiyi Yang

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.

针对网约车驾驶员的危险驾驶行为，提出了一种新的驾驶员安全评价方法。通过对97名司机近一个月的危险行为频次、驾驶距离等数据的分析，建立了数据包络分析（DEA）和超效率DEA模型相结合的方法框架。该框架将危险驾驶行为与驾驶风险动态关联，计算驾驶员安全效率，并对驾驶安全进行排名。它还根据松弛变量为表现不佳的司机提供行为改进建议。与传统的EWM-TOPSIS和critical - topsis模型相比，我们的方法具有更好的稳定性，并提供了更加个性化和客观的评估。DEA模型有效地对驾驶员安全性能进行了排名，突出了其在处理多个输入和输出而没有预定义权重方面的优势。这项研究为网约车公司识别高风险司机并实施有针对性的安全培训计划提供了有价值的见解。

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引用次数: 0

Modeling the traffic accident probability of Urban roads based on an improved Bayesian network 基于改进贝叶斯网络的城市道路交通事故概率建模

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-09-14 DOI: 10.1080/19427867.2024.2447167

Minqing Zhu , Peng Shi , Hongjun Cui , Xueqing Li

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.

城市道路交通事故严重威胁着人类生命财产安全。本研究利用随机森林（Random Forest， RF）算法识别路段事故和交叉口事故的显著危险因素，构建了基于改进贝叶斯网络（IBN）的城市道路交通事故概率预测模型。其次，提出了一种城市道路事故易发点的识别方法。研究结果表明：(1)影响路段和交叉口事故概率的因素存在显著差异。(2)当影响因素的不同组合发生变化时，路段和交叉口的事故概率也会发生变化。最后，基于天津市路段和交叉口数据，确定事故概率阈值分别为10.28%和6.69%，能够准确识别城市道路上的事故易发点。

引用次数: 0

Effective passenger flow congestion propagation model for multi-mode rail transit networks 多模式轨道交通网络的有效客流拥堵传播模型

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research

Pub Date : 2025-08-09 DOI: 10.1080/19427867.2024.2418215

Changfeng Zhu , Jinxiu Jia , Jie Wang , Jinhao Fang , Linna Cheng

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.

在客流高峰时段，拥堵的传播直接影响多模式轨道交通互联的运行安全性和效率。通过分析列车停靠时间等影响拥堵传播的关键因素，并考虑基本繁殖数和传播阈值等参数，提出了多模式轨道交通易感-感染-恢复-易感（MRT-SIRS）流行模型来分析客流拥堵传播。以北京市多模式轨道交通数据为研究对象，通过仿真实验和敏感性分析，探讨了关键因素对拥堵传播的影响机制。采用灰色关联分析对各因素的影响程度进行了研究。每个关键因素，包括传播速率和恢复速率，对拥塞传播的影响是不同的。研究结果可为多模式轨道交通系统的高效运行和管理提供理论支持。

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