Transportation Letters-The International Journal of Transportation Research最新文献_第10页

Exploring disparities and similarities in daily travel mode choices between electric vehicle owners and internal combustion engine vehicle owners 探讨电动车车主与内燃机车主在日常出行方式选择上的异同

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-10-18 DOI: 10.1080/19427867.2024.2416314

Kai Liu , Yuan Xu

引用次数: 0

Comparison of gap-based and flow-based control strategies using a new controlled stochastic cellular automaton model for traffic flow 基于一种新的可控随机元胞自动机模型的基于间隙和基于流量的交通流控制策略的比较

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-11-20 DOI: 10.1080/19427867.2024.2417150

Kayo Kinjo , Akiyasu Tomoeda

{"title":"Comparison of gap-based and flow-based control strategies using a new controlled stochastic cellular automaton model for traffic flow","authors":"Kayo Kinjo , Akiyasu Tomoeda","doi":"10.1080/19427867.2024.2417150","DOIUrl":"10.1080/19427867.2024.2417150","url":null,"abstract":"<div><div>Autonomous vehicles are essential to future transportation systems, potentially reducing traffic congestion. This study examines the impact of different vehicle control strategies on traffic flow through simulations. We propose a novel stochastic cellular automaton model, the controlled stochastic optimal velocity (CSOV) model, which incorporates vehicle control effects. Within the CSOV model, two control strategies are implemented: gap-based control (GC), which adjusts vehicle velocity to balance the gaps between adjacent vehicles, and flow-based control (FC), which aims to maintain a consistent local flow between the front and rear vehicles. Results show that both control strategies improve traffic flow. However, under weaker control, the GC sometimes resulted in lower flow compared to no control. In contrast, the FC consistently enhanced flow across control strengths, yielding more robust outcomes. Furthermore, when both strategies achieved comparable flow rates, the FC provided a more stable velocity distribution under varying traffic densities than the GC.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1171-1181"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109002","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

Developing a jam-absorption strategy for mixed traffic flow at signalized intersections using deep reinforcement learning 利用深度强化学习开发信号交叉口混合交通流的拥堵吸收策略

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-11-16 DOI: 10.1080/19427867.2024.2426795

Hao Tong , Chengcheng Xu , Qi Ai , Weilin Ren , Changshuai Wang , Chang Peng , Yanli Jiao

{"title":"Developing a jam-absorption strategy for mixed traffic flow at signalized intersections using deep reinforcement learning","authors":"Hao Tong , Chengcheng Xu , Qi Ai , Weilin Ren , Changshuai Wang , Chang Peng , Yanli Jiao","doi":"10.1080/19427867.2024.2426795","DOIUrl":"10.1080/19427867.2024.2426795","url":null,"abstract":"<div><div>Jam-absorption driving (JAD) can effectively prevent the generation and propagation of traffic oscillation. To alleviate the traffic congestion in the signalized intersection with mixed traffic flow, including human driving vehicles (HDVs) and connected and automated vehicles (CAVs), this study provides a jam-absorption driving strategy based on the traffic delay prediction of the mixed platoon under traffic congestion. An online traffic congestion prediction method with the objective of JAD is proposed and focuses on the leaving state of the trajectory to achieve fast capture of congestion features. Then, with real-time status and prediction information, we develop a Jam-absorption driving strategy based on a deep reinforcement learning (DRL) model to improve adaptability to the mixed traffic environment. The results show that this strategy can suppress more than 70% of traffic oscillations with excellent execution efficiency, improving traffic safety and efficiency.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1251-1262"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108930","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

Is a dedicated bus lane operationally and environmentally beneficial? A case study in Beijing 巴士专用道对营运及环境是否有利？以北京为例

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-12-15 DOI: 10.1080/19427867.2024.2439349

Qiyuan Jiang , Yizheng Wu , Jian Sun , Yuxin Wang , Shuochen Zhang , Lewen Wang , Weinan He

{"title":"Is a dedicated bus lane operationally and environmentally beneficial? A case study in Beijing","authors":"Qiyuan Jiang , Yizheng Wu , Jian Sun , Yuxin Wang , Shuochen Zhang , Lewen Wang , Weinan He","doi":"10.1080/19427867.2024.2439349","DOIUrl":"10.1080/19427867.2024.2439349","url":null,"abstract":"<div><div>In 2023, Beijing adjusted dedicated bus lane (DBL) policies, allowing private car access during specific periods to improve road transport efficiency. This study proposes a comprehensive method to assess the operational and environmental impact of DBL adjustments. Traffic volumes are estimated using a localized traffic fundamental diagram model based on large-scale floating car speed data, while vehicle emissions are quantified employing a high-resolution road network emission inventory. Results show over 20% increased traffic volumes and 10% higher average speed on DBLs in central Beijing. Extended to regional road network, the adjustments enhance expressway capacity and improve traffic efficiency on main and minor arterial roads. While total emissions on expressways increase due to heightened traffic volumes, average vehicular emission intensities in urban areas decrease because of smoother traffic flow. These findings could provide valuable insights for decision-makers with the information needed to target reasonable DBL policies in metropolitan regions.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1333-1347"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108940","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 maximum log-likelihood based data fusion model for estimating household’s vehicle purchase decision 基于最大对数似然的家庭购车决策数据融合模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-11-21 DOI: 10.1080/19427867.2024.2430109

Md Istiak Jahan , Tanmoy Bhowmik , Sachraa G. Borjigin , Jiehong Lou , Nneoma M. Ugwu , Deb A. Niemeier , Naveen Eluru

{"title":"A maximum log-likelihood based data fusion model for estimating household’s vehicle purchase decision","authors":"Md Istiak Jahan , Tanmoy Bhowmik , Sachraa G. Borjigin , Jiehong Lou , Nneoma M. Ugwu , Deb A. Niemeier , Naveen Eluru","doi":"10.1080/19427867.2024.2430109","DOIUrl":"10.1080/19427867.2024.2430109","url":null,"abstract":"<div><div>The growing adoption of electric vehicles offers a potential opportunity to reduce transportation sector carbon footprint. In our research, we studied vehicle purchase behavior with emphasis on alternative fuel vehicles using the vehicle purchase dataset ‘MaritzCX New Vehicle Customer Study.’ This study consisted of a two-level modeling approach. In the first level, purchasing of a new car was estimated based on consumers socio-economic characteristics. In the second level, the vehicle purchase decision was examined with a two-dimensional dependent variable – vehicle type and fuel type. We employed an innovative data fusion approach that probabilistically links records from MaritzCX with records from National Household Travel Survey with the objective of identifying new independent variables affecting the decision process while maximizing data fit. The final model included a host of independent variables from four different categories: vehicle-, economic-, demographic-, and spatial characteristics. Finally, the model results were employed to conduct an elasticity analysis.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1263-1279"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108937","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

Users’ perceptions toward autonomous vehicles: case study in Alberta, Canada 用户对自动驾驶汽车的看法：以加拿大阿尔伯塔省为例

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-12-14 DOI: 10.1080/19427867.2024.2433337

Mahsa Ghaffari Targhi , Mohammad Ansari Esfeh , Adam Weiss , Lina Kattan

{"title":"Users’ perceptions toward autonomous vehicles: case study in Alberta, Canada","authors":"Mahsa Ghaffari Targhi , Mohammad Ansari Esfeh , Adam Weiss , Lina Kattan","doi":"10.1080/19427867.2024.2433337","DOIUrl":"10.1080/19427867.2024.2433337","url":null,"abstract":"<div><div>This study investigates perceptions and attitudes toward autonomous vehicles (AVs) using an online stated preference (SP) survey conducted in Alberta, Canada. It explores the effect of different sociodemographic, external, and psychological factors on users’ attitudes toward AVs. Additionally, factors contributing to people’s willingness to pay for AVs were evaluated. The results indicate that sociodemographic factors, external factors, and people’s perceptions significantly affect people’s willingness to pay for automation. Level 3 of automation is shown to have a positive effect on the drivers’ utility of driving for commuting and non-commuting trips, while other levels of automation were found negatively affecting the utility of driving. Men were generally more willing to pay for AVs, particularly for commuting trips, while weather conditions, especially icy roads, posed significant concerns about AV reliability. Middle-aged drivers exhibited the highest willingness to pay (WTP) for higher levels of automation, emphasizing the potential early adoption among this group.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1280-1301"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108939","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

Addressing overfitting in classification models for transport mode choice prediction: a practical application in the Aburrá Valley, Colombia 解决运输方式选择预测分类模型中的过拟合问题：在哥伦比亚aburr<e:1>谷的实际应用

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-11-28 DOI: 10.1080/19427867.2024.2422717

Kathleen Salazar-Serna , Sergio A. Barona , Isabel C. García , Lorena Cadavid , Carlos J. Franco

{"title":"Addressing overfitting in classification models for transport mode choice prediction: a practical application in the Aburrá Valley, Colombia","authors":"Kathleen Salazar-Serna , Sergio A. Barona , Isabel C. García , Lorena Cadavid , Carlos J. Franco","doi":"10.1080/19427867.2024.2422717","DOIUrl":"10.1080/19427867.2024.2422717","url":null,"abstract":"<div><div>Overfitting poses a significant limitation in mode choice prediction using classification models, often worsened by the proliferation of features from encoding categorical variables. While dimensionality reduction techniques are widely utilized, their effects on travel-mode choice models’ performance have yet to be comparatively studied. This research compares the impact of dimensionality reduction methods (PCA, CATPCA, FAMD, LDA) on the performance of multinomial models and various supervised learning classifiers (XGBoost, Random Forest, Naive Bayes, K-Nearest Neighbors, Multinomial Logit) for predicting travel mode choice. Utilizing survey data from the Aburrá Valley in Colombia, we detail the process of analyzing derived dimensions and selecting optimal models for both overall and class-specific predictions. Results indicate that dimension reduction enhances predictive power, particularly for less common transport modes, providing a strategy to address class imbalance without modifying data distribution. This methodology deepens understanding of travel behavior, offering valuable insights for modelers and policymakers in developing regions with similar characteristics.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1213-1230"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109066","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

How effective are fixed-effects models in fixing the transit supply–demand bidirectional interaction? 固定效应模型在解决交通供需双向互动方面有多有效？

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-11-20 DOI: 10.1080/19427867.2024.2422713

Jorge Diaz-Gutierrez , Andisheh Ranjbari

{"title":"How effective are fixed-effects models in fixing the transit supply–demand bidirectional interaction?","authors":"Jorge Diaz-Gutierrez , Andisheh Ranjbari","doi":"10.1080/19427867.2024.2422713","DOIUrl":"10.1080/19427867.2024.2422713","url":null,"abstract":"<div><div>Transit agencies use direct demand models (DDM) to allocate services. Since the service supply – a crucial predictor in DDMs – is endogenous to demand, including it in the model might yield biased estimations. A widely used methodology that is believed to handle this issue is Fixed Effects (FE). However, the underlying assumptions of FE are valid only if service adjustments take a considerable amount of time. This study investigates the performance of FE for estimating transit ridership. We collected 2013–2019 data and constructed 16 DDMs, employing four methodologies with a shared set of variables. We found that FE has significant limitations in handling endogeneity and will result in parameter estimates that significantly differ from those produced by methodologies that are specifically designed to control for endogeneity (such as FE-IV). Moreover, the use of FE leads to the omission of certain predictors and inaccurate ridership predictions, misguiding agencies as to what changes to implement and potentially impacting revenue projections.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1199-1212"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108936","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 method for long car-following pair extraction and comprehensive data quality assessment: a case study using Zen Traffic Data 一种长车跟随对提取及综合数据质量评估方法——以Zen Traffic data为例

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 Epub Date: 2024-11-08 DOI: 10.1080/19427867.2024.2425514

Ruijie Li , Zuduo Zheng , Daiheng Ni , Linbo Li

引用次数: 0

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 Epub Date: 2024-10-10 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