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

An ensemble CNN-BiLSTM-attention and BiGRU adaptive-weighted model for state of charge prediction in real electric vehicles 基于CNN-BiLSTM-attention和BiGRU自适应加权模型的真实电动汽车充电状态预测

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-08 DOI: 10.1080/19427867.2025.2612228

Yanan Li , Juan Wang , Jianji Ren , Yongliang Yuan , Yun Xin , Haiqing Liu

{"title":"An ensemble CNN-BiLSTM-attention and BiGRU adaptive-weighted model for state of charge prediction in real electric vehicles","authors":"Yanan Li , Juan Wang , Jianji Ren , Yongliang Yuan , Yun Xin , Haiqing Liu","doi":"10.1080/19427867.2025.2612228","DOIUrl":"10.1080/19427867.2025.2612228","url":null,"abstract":"<div><div>To guarantee safe electric vehicle system functioning and extend battery life, it is essential to estimate the state-of-charge (SOC) of electric vehicle battery systems. Existing SOC prediction models struggle to balance long-term trends and short-term dynamic changes in time series predictions. To address this issue, we propose a hybrid CNN-BiLSTM-Attention and BiGRU model (CABLG) that improves SOC prediction accuracy by integrating long- and short-term features. Validation using real-world and laboratory data shows superior performance compared to benchmark models. The experimental results indicate that CABLG model exhibits excellent performance. In real driving data, the model achieves the best prediction results in winter conditions with MAE of 0.0945, MSE of 0.0187, and RMSE of 0.1369. In laboratory conditions, the model performs well with MAE of 0.0018, MSE of 4.7962E-06, and RMSE of 0.0022. The results clearly indicate CABLG model’s excellent performance in SOC prediction and also demonstrate its potential in real-world applications.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 915-932"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807966","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 timetabling and platoon formation of shuttle transit with modular autonomous vehicles considering time-dependent passenger demand 考虑时变乘客需求的模块化自动驾驶班车调度与排队优化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-01 DOI: 10.1080/19427867.2025.2610232

Yuchao Zhao , Tao Liu , Wen Meng , Zhuang Dai , Wenbo Fan

引用次数: 0

Resilience of road transportation network in metropolitan areas 都市圈道路交通网络弹性研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-02 DOI: 10.1080/19427867.2025.2610873

Changfeng Zhu , Shengyun Xue , Jie Wang , Jinghao Fang , Runtian He

引用次数: 0

Temporal patterns of paratransit usages: a case study of pre-, during-, and post-COVID-19 usage patterns using time-series clustering 辅助交通使用的时间模式：使用时间序列聚类对covid -19之前、期间和之后的使用模式进行的案例研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-08 DOI: 10.1080/19427867.2025.2611083

Troyee Saha , Kate (Kyung) Hyun

{"title":"Temporal patterns of paratransit usages: a case study of pre-, during-, and post-COVID-19 usage patterns using time-series clustering","authors":"Troyee Saha , Kate (Kyung) Hyun","doi":"10.1080/19427867.2025.2611083","DOIUrl":"10.1080/19427867.2025.2611083","url":null,"abstract":"<div><div>Paratransit services are vital for older adults and individuals with disabilities, whose mobility challenges worsened during COVID-19. However, limited research explores shifts in paratransit usage across pandemic phases and their future implications. This study addresses this gap by analyzing paratransit usage patterns using data from a Texas-based paratransit service, spanning January 2019 to December 2022. We employ time-series clustering to categorize users based on trip behaviors, revealing four distinct patterns. High-trip users reduced their frequency from 6 trips per week pre-pandemic to 4.7 during the pandemic but returned to pre-pandemic levels afterward. Moderate-trip users also saw a decline but only partially recovered post-pandemic. These varying recovery rates highlight the pandemic’s differing impacts, with high-frequency travelers rebounding most strongly. Notably, around 55% of users left the system post-pandemic, while 14% consistently used it. These insights emphasize the need for targeted service provision and strategic resource allocation by paratransit agencies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 898-914"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807968","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 crowding and safety in the analysis of cyclists’ route preferences: insights from a hybrid choice model 在骑车者路线偏好分析中整合拥挤和安全：来自混合选择模型的见解

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2025-12-29 DOI: 10.1080/19427867.2025.2606311

Huitao Lv , Haojie Li , Fan Zhang , Xue Bai , Tao Feng

{"title":"Integrating crowding and safety in the analysis of cyclists’ route preferences: insights from a hybrid choice model","authors":"Huitao Lv , Haojie Li , Fan Zhang , Xue Bai , Tao Feng","doi":"10.1080/19427867.2025.2606311","DOIUrl":"10.1080/19427867.2025.2606311","url":null,"abstract":"<div><div>In the context of future-oriented urban road infrastructure adaptation, it is crucial to understand the factors that influence cyclists’ route choice behavior to promote cycling effectively. However, the increase in bicycle usage can also lead to crowded cycling infrastructure and increased objective safety risks, which has not been thoroughly investigated in previous studies. This study examine how crowding, safety risks, and route attributes influence cyclists’ route choices, differentiating between e-bike and regular bike users. Using stated preference data from 784 cyclists in Nanjing and a hybrid choice model (HCM), the research integrates latent attitudinal variables and socio-demographic factors. Findings show regular cyclists are more sensitive to crowding and accident risk, while e-bike users prioritize dedicated cycling infrastructure over travel time and road characteristics. The results underscore the importance of including attitudinal variables in route choice models and provide valuable guidance to safely manage rising cycling demand and improve navigation systems.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 789-808"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807972","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

Optimization of rest area capacities considering driving fatigue: a resting behavior model approach 考虑驾驶疲劳的休息区容量优化：一种休息行为模型方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-14 DOI: 10.1080/19427867.2025.2610870

Ruixiang Zhou , Yoshinao Oeda

引用次数: 0

Analyzing pedestrian-vehicle interaction dynamics at unsignalized crosswalks: a game mode analysis through MCMC and BN modeling 无信号人行横道上行人与车辆交互动力学分析：基于MCMC和BN模型的博弈模式分析

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-07 DOI: 10.1080/19427867.2025.2610871

Shikun Xie , Zhen Yang , Fang Yuan , Mingxuan Wang

{"title":"Analyzing pedestrian-vehicle interaction dynamics at unsignalized crosswalks: a game mode analysis through MCMC and BN modeling","authors":"Shikun Xie , Zhen Yang , Fang Yuan , Mingxuan Wang","doi":"10.1080/19427867.2025.2610871","DOIUrl":"10.1080/19427867.2025.2610871","url":null,"abstract":"<div><div>Insufficient traffic control at unsignalized crosswalks causes pedestrians and vehicles operations to rely on their perception of road conditions, environment, and potential risks, resulting in game-like interactions with strategic decisions and behavioral adjustments. However, the characteristics and mechanisms of these behaviors remain poorly understood. This study analyzes pedestrian-vehicle interaction patterns at unsignalized crosswalks using Unmanned Aerial Vehicle (UAV) data. Ten game types are identified and classified into no-game, single-game, and multi-game interactions. A Pedestrian-Vehicle Game Index (PVGI) is proposed to quantify interaction dynamics by integrating speed, acceleration, and distance. Markov-Chain Monte Carlo (MCMC) simulation determines the PVGI domain as [−4.0, 2.0], distinguishing pedestrian-yield [−4.0, 0] and vehicle-yield [0, 2.0]. A Bayesian Network (BN) model, combined with the Gaussian Mixture Model (GMM) and Expectation-Maximum (EM) algorithm predicts second-round game patterns with an accuracy of 83.78%. These findings provide actionable insights for improving traffic safety and efficiency at unsignalized crosswalks.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 862-882"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807976","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

Intra-provincial long-distance leisure travel-activity heterogeneity across age groups: a multi-group latent class analysis 跨年龄组的省际长途休闲旅游活动异质性：多组潜在类分析

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-07 DOI: 10.1080/19427867.2025.2606308

Ziyue Davia Dong , Eric J. Miller

{"title":"Intra-provincial long-distance leisure travel-activity heterogeneity across age groups: a multi-group latent class analysis","authors":"Ziyue Davia Dong , Eric J. Miller","doi":"10.1080/19427867.2025.2606308","DOIUrl":"10.1080/19427867.2025.2606308","url":null,"abstract":"<div><div>Long-distance leisure travel plays a critical role in regional transportation and urban development, yet its contextual variation and behavioral heterogeneity remain insufficiently understood. This study employs multi-group latent class regression (mgCLR) models to examine intra-provincial leisure travel-activity patterns in Ontario, Canada, capturing multilevel and multidimensional heterogeneity with statistical interpretability. Using data from the 2019 Canadian National Travel Survey, this analysis identifies four latent travel classes and six latent activity classes, forming twenty-four distinct travel-activity segments. Results reveal both commonalities and sharp contrasts among age groups alongside compounding age-income effects that shape trip making, activity participation and spending. These findings provide fresh and actionable insights for transportation agencies and tourism businesses to better align service provision and targeted offerings with heterogeneous leisure demand. By explicitly accounting for group distinctions and compounding effects, the study supports more equitable, efficient, and demand-responsive travel and tourism planning.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 771-788"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807971","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

Large language models as spatiotemporal graph learning enhancers for large-scale traffic forecasting 大型语言模型作为大规模交通预测的时空图学习增强器

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2025-12-29 DOI: 10.1080/19427867.2025.2601756

Chang Peng , Chengcheng Xu , Haibo Chen , Qi Ai , Guodong Zhang , Xu Cui

{"title":"Large language models as spatiotemporal graph learning enhancers for large-scale traffic forecasting","authors":"Chang Peng , Chengcheng Xu , Haibo Chen , Qi Ai , Guodong Zhang , Xu Cui","doi":"10.1080/19427867.2025.2601756","DOIUrl":"10.1080/19427867.2025.2601756","url":null,"abstract":"<div><div>Understanding the traffic dynamics in spatial and temporal dimensions is essential to network-wide forecasting. Spatiotemporal graph (STG)-based prediction emerges as a promising method by integrating graph and temporal neural networks. Inspired by the extensive knowledge of large language models (LLMs), this paper leverages their understanding on traffic phenomena to enhance spatiotemporal forecasting. The LLMs are regard as general knowledge identifiers to recognize traffic patterns and underlying factors as prior knowledge, which is further vectorized based on a language model. An attention-based module is developed to incorporate the vectorized knowledge into STG models. The proposed framework was applied on a real-world traffic dataset, with multiple LLMs, STG models, and prediction horizons to evaluate the effects of LLM-identified knowledge on prediction accuracy and training efficiency. The incorporated knowledge significantly enhances comparatively weaker STG predictors over a relatively long horizon, especially in rush hours. It also leads to notable acceleration in STG training.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 721-737"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807969","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 household-level party composition behavior for multiparty activities: a random parameter nested logit modeling approach 为多方活动建模家庭层面的参与方组成行为：随机参数嵌套logit建模方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-04-21 Epub Date: 2026-01-16 DOI: 10.1080/19427867.2025.2605384

Nazmul Arefin Khan , Joshua A. Auld

{"title":"Modeling household-level party composition behavior for multiparty activities: a random parameter nested logit modeling approach","authors":"Nazmul Arefin Khan , Joshua A. Auld","doi":"10.1080/19427867.2025.2605384","DOIUrl":"10.1080/19427867.2025.2605384","url":null,"abstract":"<div><div>This study presents findings of a household-level party composition model for multiparty activities. It exploits data from a comprehensive Household Travel Survey conducted by Chicago Metropolitan Agency of Planning. The study estimates a random parameter nested logit model to capture households’ unobserved preference heterogeneity and non-proportional substitution patterns in terms of activity party composition for multiparty activities. A wide variety of household demographics, activity attributes and residential neighborhood characteristics are examined in this paper. The magnitude of the impacts of the determinants are tested in this study by analyzing the elasticity of the variables, which suggests that household demographics and attributes of the multiparty activities have significant effects on the household-level activity party composition. Residential neighborhood characteristics, although somewhat less impactful, still play a meaningful role. This model will be implemented within the POLARIS transportation systems simulator to improve the activity generation modeling workflow, and the prediction accuracy of various activity-travel components.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 4","pages":"Pages 756-770"},"PeriodicalIF":3.3,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147807970","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