Transportation Letters-The International Journal of Transportation Research最新文献_第3页

Consumer adoption intention towards electric vehicles: Insights from Bangalore, India 消费者对电动汽车的采用意向：来自印度班加罗尔的见解

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-03-16 Epub Date: 2025-11-30 DOI: 10.1080/19427867.2025.2593638

Suraj Ghosh , Biplab Sarkar

{"title":"Consumer adoption intention towards electric vehicles: Insights from Bangalore, India","authors":"Suraj Ghosh , Biplab Sarkar","doi":"10.1080/19427867.2025.2593638","DOIUrl":"10.1080/19427867.2025.2593638","url":null,"abstract":"<div><div>Electric Vehicles (EVs) are vital for reducing carbon emissions from the transportation sector. Despite various policy efforts in India, EV adoption remains limited. This study examines key factors influencing EV adoption intentions, focusing on demand incentive, and publicity & information policy measures, and perceived economic benefits. The moderating role of environmental concern is also examined. A cross-sectional survey of university students in Bengaluru, identified as potential early adopters, was conducted using a structured questionnaire, and the proposed model was tested through Partial Least Squares Structural Equation Modelling (PLS-SEM). Results indicate that demand incentives and perceived economic benefits significantly increase EV adoption intentions, with economic benefits being stronger driver. Demand incentives partially mediate this link, while publicity policy measures show no effect. Environmental concern boosts adoption intention but does not strengthen policy effects. These insights can inform policymaking and support industry stakeholders in designing more effective EV promotion strategies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 603-619"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588118","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

Fundamental diagram parameters in mixed traffic conditions: measurement methods and models 混合交通条件下的基本图参数：测量方法和模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-03-16 Epub Date: 2025-10-23 DOI: 10.1080/19427867.2025.2576260

Aathira K. Das , Bhargava Rama Chilukuri

{"title":"Fundamental diagram parameters in mixed traffic conditions: measurement methods and models","authors":"Aathira K. Das , Bhargava Rama Chilukuri","doi":"10.1080/19427867.2025.2576260","DOIUrl":"10.1080/19427867.2025.2576260","url":null,"abstract":"<div><div>Fundamental diagram parameters including saturation flow, jam density, and wave speed, are essential for traffic modeling but are strongly influenced by composition under mixed traffic conditions. While traditional methods exist for saturation flow estimation, they introduce measurement errors, rely on PCU/hour units that mask heterogeneity, and rarely address jam density or wave speed. This study proposes intuitive, field-implementable measurement methods for the parameters: a cumulative count curve with oblique plots to estimate saturation flow; and theory-based, sensor-independent procedures to estimate jam density and wave speed. We further develop Multiple Linear Regression (MLR) models using traffic composition and interaction terms along with clustering-based MLR to capture composition-driven variability. Machine Learning (ML) alternatives: support vector regression and gradient-boosted regression trees are benchmarked. Results show that MLR, particularly clustering-based models, outperforms ML models and align well with field data. The framework is data-efficient, scalable, and suitable for routine traffic analysis in resource-limited settings.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 523-544"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588127","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

Vehicle lane change intention recognition based on a mixed teacher forcing CNN-GCN-LSTM encoder-decoder model 基于混合教师强制CNN-GCN-LSTM编码器-解码器模型的车辆变道意图识别

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-03-16 Epub Date: 2025-12-07 DOI: 10.1080/19427867.2025.2594082

Changxi Ma , Keyan Gu , Bo Du , Yongpeng Zhao

{"title":"Vehicle lane change intention recognition based on a mixed teacher forcing CNN-GCN-LSTM encoder-decoder model","authors":"Changxi Ma , Keyan Gu , Bo Du , Yongpeng Zhao","doi":"10.1080/19427867.2025.2594082","DOIUrl":"10.1080/19427867.2025.2594082","url":null,"abstract":"<div><div>To enhance lane change intention recognition, this study introduces a novel model based on a Mixed Teacher Forcing (MTF) framework integrating Convolutional Neural Network (CNN), Graph Convolutional Network (GCN), and Long Short-Term Memory (LSTM) encoder-decoder architecture to capture dynamic changes in time series and interaction between. Vehicle trajectories extracted from NGSIM US101 highway dataset are used for numerical experiments. During training, a MTF strategy is implemented to enhance model flexibility, while a recursive strategy is used during testing to boost prediction performance. Comparative analysis against the traditional MTF-LSTM model shows significant improvements (40.50%/64.59%/44.00%/33.23% reduction in RMSE/MSE/MAE/MAPE, respectively, and increase in R<sup>2</sup> to 99.04%). A Harris Hawks Optimization (HHO)-enhanced LightGBM model is proposed for intention recognition. Comprehensive comparisons with baseline models, such as LSTM, BiGRU, Decision Tree, and Random Forest, demonstrate outstanding accuracy (97.79%) of the proposed HHO-LightGBM model with MTF-CNN-GCN-LSTM codec, underscoring the model’s effectiveness in recognizing lane change intentions.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 3","pages":"Pages 620-635"},"PeriodicalIF":3.3,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588119","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

Exploring the impacts of Intelligent Winter Road Information System on travel choices in winter weather: insights from a stated-preference survey 探讨智能冬季道路信息系统对冬季出行选择的影响：来自状态偏好调查的见解

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-03-16 Epub Date: 2025-12-04 DOI: 10.1080/19427867.2025.2595557

Gongda Yu , Jiajun Pang , Irina Benedyk

引用次数: 0

An inertia-infused ADMM-based splitting algorithm with parallel computing for traffic assignment 一种注入惯性的admm并行分割流量分配算法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-03-16 Epub Date: 2025-10-06 DOI: 10.1080/19427867.2025.2564421

Pengjie Liu , Hu Shao , Emily Zhu Fainman , Feng Shao , Shengbei Xu , Chunkai Tang

引用次数: 0

Ubiquitous Traffic Eyes: trajectory dataset focus on multiple traffic states and state transition on urban expressways 无所不在的交通之眼：关注城市高速公路上多种交通状态和状态转换的轨迹数据集

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-02-07 Epub Date: 2025-09-14 DOI: 10.1080/19427867.2025.2559276

Ruyi Feng , Huihuang Zhu , N. N. Sze , Shunchao Wang , Zhibin Li

{"title":"Ubiquitous Traffic Eyes: trajectory dataset focus on multiple traffic states and state transition on urban expressways","authors":"Ruyi Feng , Huihuang Zhu , N. N. Sze , Shunchao Wang , Zhibin Li","doi":"10.1080/19427867.2025.2559276","DOIUrl":"10.1080/19427867.2025.2559276","url":null,"abstract":"<div><div>Vehicle trajectory data provides critical information for traffic flow modeling and analysis during different traffic states and state transitions. This paper introduces a trajectory dataset based on aerial videos called Ubiquitous Traffic Eyes (UTE). It contains high-resolution vehicle trajectories automatically extracted from UAV videos, addressing issues such as pixel shake, vehicle detection, and trajectory fragment reconstruction. To bridge the gap in available data for traffic transition conditions, UTE captures data from typical state transition periods and fixed bottleneck locations, such as interweave areas. The current dataset includes data from seven distinct locations, encompassing freeway basic segments, merge/diverge segments, and weaving segments. The dataset presents trajectory data under diverse traffic conditions, including free flow, congestion, and transitions. This facilitates a comprehensive analysis of how traffic evolves and adapts, particularly in regions characterized by frequent maneuvers. The dataset is available at <span><span>http://seutraffic.com/</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 2","pages":"Pages 446-462"},"PeriodicalIF":3.3,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147427491","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

Drone-truck collaborative scheduling with simultaneous delivery and pickup under uncertainty 不确定条件下无人机-卡车协同调度

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-02-07 Epub Date: 2025-09-01 DOI: 10.1080/19427867.2025.2543379

Zhaojie Wang , Feifeng Zheng , Yang Sui , Hongjie Pan , Hejie Zhang , Ming Liu

{"title":"Drone-truck collaborative scheduling with simultaneous delivery and pickup under uncertainty","authors":"Zhaojie Wang , Feifeng Zheng , Yang Sui , Hongjie Pan , Hejie Zhang , Ming Liu","doi":"10.1080/19427867.2025.2543379","DOIUrl":"10.1080/19427867.2025.2543379","url":null,"abstract":"<div><div>This work investigates a drone-truck collaborative scheduling problem, where customer packages may require delivery or pickup for transportation to the distribution center. In this study, the transportation speed of drones is subject to uncertainty arising from variables such as wind direction and intensity, etc. For solving the problem, a K-means with elbow method is firstly employed to cluster the 2D coordinate of customers, yielding cluster centers that represent the points requiring traversal by the truck. Subsequently, a mixed integer programming model with the objective of minimizing the weighted sum of the total transportation time and the total energy consumption of drones is formulated. For such the model, both the truck routing path and the drone scheduling plan for delivery and pickup are jointly optimized at the tactical level. To solve the model under uncertainty, a data-driven robust optimization approach is developed. Numerical experiments are conducted to demonstrate the effectiveness of our approaches.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 2","pages":"Pages 270-288"},"PeriodicalIF":3.3,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147427492","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

Traffic congestion estimation on urban road segments considering dynamic critical bottleneck based on GPS trajectory data 基于GPS轨迹数据的考虑动态临界瓶颈的城市路段交通拥堵估计

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-02-07 Epub Date: 2025-08-21 DOI: 10.1080/19427867.2025.2546422

Sixuan Xu , Lei Zhao , Chen Wang , Zhiping He

{"title":"Traffic congestion estimation on urban road segments considering dynamic critical bottleneck based on GPS trajectory data","authors":"Sixuan Xu , Lei Zhao , Chen Wang , Zhiping He","doi":"10.1080/19427867.2025.2546422","DOIUrl":"10.1080/19427867.2025.2546422","url":null,"abstract":"<div><div>Traffic congestion estimation on urban road segments is crucial to traffic management. Considering the heterogeneous impact of dynamic critical bottleneck (e.g., arterials) on congestion diffusion, this study proposes a traffic congestion estimation method by using GPS trajectory data. At first, the process of congestion diffusion is modeled by percolation theory, and the critical threshold ${q_c}left(T right)$<span><math><mrow><msub><mi>q</mi><mi>c</mi></msub></mrow><mfenced><mi>T</mi></mfenced></math></span> in time interval $T$<span><math><mi>T</mi></math></span> is inferred to represent the network-wide traffic states. Then, ${q_c}left(T right)$<span><math><mrow><msub><mi>q</mi><mi>c</mi></msub></mrow><mfenced><mi>T</mi></mfenced></math></span> is utilized as the baseline to characterize the heterogeneous impact of dynamic critical bottlenecks on congestion diffusion. Finally, the Systemic Congestion Index (SCI) is generated to estimate segment-based congestion intensity. Investigations revealed that compared with the speed, relative velocity (RV), Travel Time Index (TTI), and the ground truth data (i.e. occupancy), the proposed method can capture the spatial-temporal variation of congestion. Moreover, the reliability of SCI is verified by the Dynamic Time Warping algorithm (DTW) and a sensitivity analysis.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 2","pages":"Pages 289-308"},"PeriodicalIF":3.3,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147427486","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

Differences in MaaS adoption among university students 大学生MaaS采用的差异

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-02-07 Epub Date: 2025-08-27 DOI: 10.1080/19427867.2025.2550485

Willy Kriswardhana , Balázs Sárvári , Domokos Esztergár-Kiss

引用次数: 0

Keeping EVs powered on the go: optimizing battery-to-battery in-motion charging on intercity highway networks 让电动汽车随时随地充电：优化城际高速公路网络上的电池对电池动态充电

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-02-07 Epub Date: 2025-09-13 DOI: 10.1080/19427867.2025.2557928

Yugang Liu , Yu Zhan , Hongbo Yi , Yinjie Luo

{"title":"Keeping EVs powered on the go: optimizing battery-to-battery in-motion charging on intercity highway networks","authors":"Yugang Liu , Yu Zhan , Hongbo Yi , Yinjie Luo","doi":"10.1080/19427867.2025.2557928","DOIUrl":"10.1080/19427867.2025.2557928","url":null,"abstract":"<div><div>The limited driving range and slow charging speed of electric vehicles (EVs) constrain long-distance intercity travel, making efficient charging solutions critical. While prior studies have shown that battery-to-battery in-motion charging (B2BIC) effectively reduces travel delays on single highways, its optimization across intercity highway networks remains unexplored. Addressing this gap, we develop a mixed-integer nonlinear programming (MINLP) model and reformulate it into a mixed-integer linear programming (MILP) model using a discretization method to enhance solvability. Case studies based on Chinese highway data validate the proposed approach. Key findings include: (1) Deployed energy-providing vehicles (EPVs) can operate continuously for over 18 hours without intermediate charging, with each delivering 100–200 kWh of energy per day using a 350 kWh battery; (2) Increasing the EPV fleet size and depot coverage significantly boosts energy delivery and reduces average EV travel time, though marginal benefits diminish beyond approximately 90 EPVs; (3) Larger EPV battery capacities further improve system performance (higher energy output and greater travel time reduction), while expanding from 3 to 7 depots has a limited impact under constant demand. These findings suggest that integrating B2BIC services into future EV charging infrastructures could substantially enhance system resilience and scalability, providing valuable guidance for planners and policymakers.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 2","pages":"Pages 429-445"},"PeriodicalIF":3.3,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147427493","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