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

Research on vehicle trajectory prediction methods in dense and heterogeneous urban traffic 密集异构城市交通车辆轨迹预测方法研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2403818

Sumin Zhang , Ri Bai , Rui He , Zhiwei Meng , Yupeng Chang , Yongshuai Zhi

{"title":"Research on vehicle trajectory prediction methods in dense and heterogeneous urban traffic","authors":"Sumin Zhang , Ri Bai , Rui He , Zhiwei Meng , Yupeng Chang , Yongshuai Zhi","doi":"10.1080/19427867.2024.2403818","DOIUrl":"10.1080/19427867.2024.2403818","url":null,"abstract":"<div><div>In autonomous driving, accurately predicting the trajectories of surrounding vehicles is essential, particularly in dense and heterogeneous urban traffic. We propose a graph-structured model with a category layer to efficiently forecast the target vehicle’s trajectory. The model enables flexible selection of interacting objects based on environmental interactions and extracts spatial-temporal features using a graph convolutional network. A categorical layer is introduced to account for the different influences of dynamic agents, while vehicle dynamics constraints ensure the feasibility of predicted trajectories. We developed a new heterogeneous and dense urban unsignalized intersection dataset (HID), capturing complex urban interactions, and conducted extensive experiments on HID, ApolloScape, and TRAF datasets. Results demonstrate that our model outperforms benchmark methods across diverse urban scenarios, and the integration of key modules significantly enhances prediction accuracy and performance.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 968-983"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570682","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}

引用次数: 0

Integrating mobility service satisfaction into the object case of best-worst scaling method to weight attributes of MaaS bundles: findings based on samples from three cities of China 将出行服务满意度纳入MaaS捆绑包权重属性最佳-最差标度法的目标案例：基于中国三个城市样本的研究结果

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2025.2488631

Xiaofeng Pan , Ling Jin

引用次数: 0

Pricing model of ride-hailing platform considering rationally inattentive passengers 考虑理性注意力不集中乘客的网约车平台定价模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2400820

Chuan-Lin Zhao , Yangqi Sun , Haijuan Wu , Dongbao Niu

引用次数: 0

Should the multi-layer transportation network structure be reduced? 多层交通网络结构是否应该减少？

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2408923

Yue Zhang , Bin Shuai , Jing Zhou , Dezhi Yin , Wencheng Huang

{"title":"Should the multi-layer transportation network structure be reduced?","authors":"Yue Zhang , Bin Shuai , Jing Zhou , Dezhi Yin , Wencheng Huang","doi":"10.1080/19427867.2024.2408923","DOIUrl":"10.1080/19427867.2024.2408923","url":null,"abstract":"<div><div>The increasing diversity of transportation modes and the rapid expansion of transportation networks present significant challenges for modeling multi-layer comprehensive transportation networks. It is crucial to determine whether aggregating certain layers is a viable option for balancing complexity reduction and information preservation. This decision defines the layered structures and informs subsequent analyses of these networks. Two-dimensional factors, namely topological structures and transportation attributes, are considered to enhance understanding of the similarities among network layers. The relative entropy and the Gini index are employed as metrics to assess information gain or loss resulting from layer aggregation or segregation, guiding decisions on network reduction. Furthermore, an integrated similarity measure, based on the quantum Jensen-Shannon divergence and the Gower distance, is utilized to identify the optimal aggregation sequences. Two real-world transportation networks serve as case studies. Results demonstrate that these transportation networks are more effectively maintained with layer-separated structures, preserving maximum information.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1079-1090"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572109","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}

引用次数: 0

A systematic review of the application and prospect of road accident blackspots identification approaches 道路交通事故黑点识别方法的应用与展望

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2416304

Changjian Zhang , Jie He , Haifeng Wang , Yuntao Ye , Xintong Yan , Chenwei Wang , Xiazhi Zhang

{"title":"A systematic review of the application and prospect of road accident blackspots identification approaches","authors":"Changjian Zhang , Jie He , Haifeng Wang , Yuntao Ye , Xintong Yan , Chenwei Wang , Xiazhi Zhang","doi":"10.1080/19427867.2024.2416304","DOIUrl":"10.1080/19427867.2024.2416304","url":null,"abstract":"<div><div>Blackspot identification is a global concern in road safety. The accident-based method has been widely employed over the past few decades but remains reactive, as it depends on accidents occurring and causing harm. To overcome its limitations, proactive methods based on surrogate indicators have emerged. However, apart from Traffic Conflict Technology (TCT), other surrogate indicators lack a comprehensive framework spanning from extraction to practical application, emphasizing a key priority for future research. Despite numerous proposed methods, critical evaluation of their strengths, limitations, and application contexts remains limited. Additionally, the literature often overlooks the measurement of ‘potential accident risk’ in blackspot identification. Due to the rarity and randomness of accidents, even high-risk sections may record accident counts below the threshold during observation. This paper reviews 182 studies, examining blackspot identification methods and exploring potential accident risk through surrogate indicators. It underscores the importance of integrating potential risk into identification processes and summarizes the application of these methods across countries with varying income levels. Finally, it outlines the connection between blackspot identification and accident severity analysis, offering recommendations for future research.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1114-1137"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572502","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}

引用次数: 0

Modeling motorcycle crash-injury severity utilizing explainable data-driven approaches 利用可解释的数据驱动方法建模摩托车碰撞伤害严重程度

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2408920

Chamroeun Se , Jirapon Sunkpho , Warit Wipulanusat , Kevin Tantisevi , Thanapong Champahom , Vatanavongs Ratanavaraha

{"title":"Modeling motorcycle crash-injury severity utilizing explainable data-driven approaches","authors":"Chamroeun Se , Jirapon Sunkpho , Warit Wipulanusat , Kevin Tantisevi , Thanapong Champahom , Vatanavongs Ratanavaraha","doi":"10.1080/19427867.2024.2408920","DOIUrl":"10.1080/19427867.2024.2408920","url":null,"abstract":"<div><div>Motorcycle crashes remain a significant public safety concern, requiring diverse analytical approaches to inform countermeasures. This study uses machine learning to analyze injury severity in crashes in Thailand from 2018 to 2020. Traditional and advanced models, including including random forest (RF), support vector machine (SVM), deep neural network (DNN), recurrent neural network (RNN), long short-term memory (LSTM), and eXtreme gradient boosting (XGBoost), were compared. Hyperparameter tuning via GridSearchCV optimized performance. XGBoost, with a tradeoff score of 105.65%, outperformed other models in predicting severe and fatal injuries. SHapley Additive exPlanations (SHAPs) identified significant risk factors including speeding, drunk driving, two-lane roads, unlit conditions, head-on and truck collisions, and nighttime crashes. Conversely, factors such as barrier medians, flashing traffic signals, sideswipes, rear-end crashes, and wet roads were associated with reduced severity. These findings suggest opportunities for integrated infrastructure improvements and expanded rider training and education programs to address behavioral risks.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1053-1078"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572108","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}

引用次数: 0

Predictive classification of pedestrian-vehicle crossing behaviors using a hybrid mountain gazelle optimizer-enhanced Long Short-Term Memory model 基于混合山瞪羚优化器增强长短期记忆模型的人行横道行为预测分类

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2404358

Wenxiao Song , Lu Wang , Chao Wang , Chengcheng Shen , Jie Zhao , Nenggang Xie , Kang Hao Cheong

{"title":"Predictive classification of pedestrian-vehicle crossing behaviors using a hybrid mountain gazelle optimizer-enhanced Long Short-Term Memory model","authors":"Wenxiao Song , Lu Wang , Chao Wang , Chengcheng Shen , Jie Zhao , Nenggang Xie , Kang Hao Cheong","doi":"10.1080/19427867.2024.2404358","DOIUrl":"10.1080/19427867.2024.2404358","url":null,"abstract":"<div><div>This paper addresses the safety issues of pedestrian-vehicle interactions at unsignalized pedestrian crossings by proposing a Hybrid Mountain Gazelle Optimizer-Long Short-Term Memory (HMGO-LSTM) model. The proposed model combines the Hybrid Mountain Gazelle Optimizer (HMGO) algorithm with a Long Short-Term Memory (LSTM) network, using HMGO as an LSTM hyperparameter optimizer. Real-world datasets of pedestrian and vehicle crossings from Ma’anshan were used to train and evaluate the model. The HMGO-LSTM model was compared with traditional classifiers such as K-Nearest Neighbors (KNN), Random Forest (RF), and Genetic Algorithm-Backpropagation (GA-BP). The results show that the HMGO-LSTM model outperforms these classifiers in predicting pedestrian-vehicle interaction behaviors, achieving higher classification accuracy and F1 score. The model also optimizes safety intervals for crossings, leading to new speed limit recommendations. Overall, the HMGO-LSTM model provides a robust theoretical foundation for managing and designing safer pedestrian and vehicle crossings.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1017-1029"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572110","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}

引用次数: 0

Optimizing fleet, staff configuration and operational strategies in one-way mixed fleet carsharing systems: a Lagrangian relaxation-based approach 单向混合车队汽车共享系统中优化车队、员工配置和运营策略：基于拉格朗日松弛的方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2407184

Hao Li , Zhengwu Wang , Shuiwang Chen , Weiyao Xu , Yan Li , Jie Wang

{"title":"Optimizing fleet, staff configuration and operational strategies in one-way mixed fleet carsharing systems: a Lagrangian relaxation-based approach","authors":"Hao Li , Zhengwu Wang , Shuiwang Chen , Weiyao Xu , Yan Li , Jie Wang","doi":"10.1080/19427867.2024.2407184","DOIUrl":"10.1080/19427867.2024.2407184","url":null,"abstract":"<div><div>This study explores enhancing carsharing services by integrating gasoline and electric vehicles into a one-way mixed fleet carsharing system (OMFCS). The focus is on optimizing configurations (fleet and staff size, initial deployment) and operational strategies (vehicle relocation and staff rebalancing) while considering carbon emission costs. Employing a space-time-electricity network modeling approach, we developed an integer linear programming model to tackle the configurations and operational strategies optimization problem. For solving this model, we introduce a Lagrangian relaxation-branch bound approach, which integrates subgradient, dynamic programming and greedy-based heuristics algorithm. An illustrative case and a real-world case are conducted to demonstrate the efficiency of the proposed solution method and the analysis sheds light on the configurations and operational strategies of OMFCS. The sensitive analysis results suggest that OMFCS is more profitable and balances user service quality and carbon emissions better than carsharing systems using only one type of vehicle.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1030-1052"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572503","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}

引用次数: 0

Automatic activity-travel sequence generator using language, grammar, and machine theory 使用语言、语法和机器理论的自动活动旅行序列生成器

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2416309

Pushkin Kachroo , Anil Koushik , M. Manoj

{"title":"Automatic activity-travel sequence generator using language, grammar, and machine theory","authors":"Pushkin Kachroo , Anil Koushik , M. Manoj","doi":"10.1080/19427867.2024.2416309","DOIUrl":"10.1080/19427867.2024.2416309","url":null,"abstract":"<div><div>Activity schedule results from a complex decision-making process characterized by several interrelated decisions. Different facets of an activity schedule such as activity type, timing, duration, etc. influence each other and this makes modeling activity schedules a complex task. This complexity has compelled researchers to explore different approaches for modeling activity schedules, among which two predominant approaches can be identified: the utility-maximization theory based econometric approach and the computational process modeling approach. Despite their advantages and a few successful practical applications, challenges still remain leaving avenues for exploration of new approaches. This paper contributes in this direction by reviewing the relationship between language, grammar, and machines in the context of sequence analysis for activity sequence generation. Following that, the paper presents a stochastic Finite State Machine that can generate activity sequences to match the frequency distribution of sequences from a given data set. Our results show that the proposed algorithm can not only generate activity sequences with a distribution similar to that of original data but can also efficiently generate new patterns not in the original data.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1091-1100"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572504","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}

引用次数: 0

Electric vehicles in emergencies and evacuations: a review of resilience and future research directions 紧急情况和疏散中的电动汽车：弹性回顾和未来研究方向

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2415753

Mohammad Hossein Babaei , Stephen D. Wong

{"title":"Electric vehicles in emergencies and evacuations: a review of resilience and future research directions","authors":"Mohammad Hossein Babaei , Stephen D. Wong","doi":"10.1080/19427867.2024.2415753","DOIUrl":"10.1080/19427867.2024.2415753","url":null,"abstract":"<div><div>Disasters often require large-scale evacuations, and damage key infrastructure (e.g., power, transportation). With growing electric vehicle (EV) adoption and electrification of transportation, governments and utilities may face significant power challenges during disasters, especially during the evacuation stage. Low state-of-charge, sporadic charging infrastructure, or power outages could significantly hamper safe and effective evacuations. Yet, EVs also offer possible resilience benefits to emergency response by more easily charging electronics or sending power back to the grid through vehicle-to-grid (V2G) technology. This paper focuses on the opportunities, benefits, and drawbacks of EVs in disasters and evacuations through a systematic review of current literature, reports, and sources. Overall, this review discovered EVs show promise as modes of transportation and mobile energy supply units. However, crucial challenges such as charging infrastructure locations, upfront cost of resilience technologies, and user behavior necessitate more dedicated research to overcome shortcomings and guide more realistic implementation of benefits.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1101-1113"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572497","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}

引用次数: 0