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

Research on urban agglomeration spatial network structure in the middle reaches of the Yangtze River based on real-time traffic accessibility scenario analysis 基于实时交通可达性情景分析的长江中游城市群空间网络结构研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-02-07 DOI: 10.1080/19427867.2024.2351673

You Zheng , Jianzhong Xiao , Jian Tang

引用次数: 0

Optimization of electric bus dispatching interval considering stochastic traffic conditions 考虑随机交通条件的电动公交车调度间隔优化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-02-07 DOI: 10.1080/19427867.2024.2335735

Xiaowei Hu, Zhenyang Qiu , Wei Gao

{"title":"Optimization of electric bus dispatching interval considering stochastic traffic conditions","authors":"Xiaowei Hu, Zhenyang Qiu , Wei Gao","doi":"10.1080/19427867.2024.2335735","DOIUrl":"10.1080/19427867.2024.2335735","url":null,"abstract":"<div><div>Due to their efficient and environmentally friendly features, electric buses have become the key to solving urban transportation and environmental problems. However, existing studies primarily concentrate on optimizing schedules under fixed operational scenarios. This paper proposes a scheduling optimization approach to investigate the impact of stochastic traffic conditions on electric bus operations. First, a static dispatching interval optimization model is established, balancing the interests of the service and operation sides by measuring the passenger and company costs. Then, stochastic model formulas are designed considering three stochastic traffic conditions. Finally, a probabilistic evolution model is developed to improve the genetic algorithm. Based on the bus operation data in Harbin, we validate the model’s performance in enhancing operational benefits. Results reveal that the impact of stochasticity is nonlinear and more significant on passenger travel quality. Furthermore, retrofitting buses and upgrading routes are beneficial to reducing costs and improving travel experience.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 2","pages":"Pages 200-213"},"PeriodicalIF":3.3,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140363674","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

Managing parking reservations to mitigate congestion in office-oriented garages 对停车位预订进行管理，以缓解面向办公楼的车库的拥堵状况

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-02-07 DOI: 10.1080/19427867.2024.2340251

Xinying Zhang , Minghui Xie , Sanghuiyu Yan , Yuanqing Wang , Yanan Gao

引用次数: 0

Joint optimization of metro travel reservation and compartment capacity allocation for an overcrowded metro line 针对拥挤不堪的地铁线路，联合优化地铁旅行预订和车厢容量分配

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-02-07 DOI: 10.1080/19427867.2024.2339632

Qianhui Jiao , Qing Yu , Xuewu Chen , Long Cheng

{"title":"Joint optimization of metro travel reservation and compartment capacity allocation for an overcrowded metro line","authors":"Qianhui Jiao , Qing Yu , Xuewu Chen , Long Cheng","doi":"10.1080/19427867.2024.2339632","DOIUrl":"10.1080/19427867.2024.2339632","url":null,"abstract":"<div><div>In some mega cities, metro lines often experience severe congestion during peak hours, posing serious operational risks. To alleviate passenger delay and address overcrowded conditions, this study proposes a novel model for metro travel reservation and carriage reserved capacity. The model comprises three components: off-station queuing restrictions, dynamic loading constraints, and carriage reserved capacity constraints. A particle swarm optimization algorithm is applied to allocate reservation quota by considering time-variant and location-dependent passenger demand and train supply. The paper applies the model to Nanjing Metro Line 3, using historical data to estimate passenger demand and compartment capacity, and evaluates its performance in four scenarios. The results demonstrate proposed approach efficiently obtains high-quality joint reservation plans, resulting in a notable reduction of approximately 20% in platform delay time and 50% in off-platform queuing time in suitable scenarios. The paper also discusses the implementation challenges and limitations, and provides recommendations for effective application.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 2","pages":"Pages 281-294"},"PeriodicalIF":3.3,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140808981","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

Unveiling the evolution of urban rail transit network: considering ridership attributes 揭示城市轨道交通网络的演变：考虑乘客属性

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-02-07 DOI: 10.1080/19427867.2024.2342082

Yunpeng Zhao , Zhenjun Zhu , Yong Zhang , Yimian Yang , Yuliang Guo , Wei Zhou

引用次数: 0

Analysis of crash severity in rear-end and angle collisions on an urban roundabout in heterogeneous non-lane-based traffic conditions 在异质非车道交通条件下，分析城市环岛上追尾碰撞和角度碰撞的碰撞严重程度

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-02-07 DOI: 10.1080/19427867.2024.2338325

Vinayaraj V S , Vedagiri Perumal

{"title":"Analysis of crash severity in rear-end and angle collisions on an urban roundabout in heterogeneous non-lane-based traffic conditions","authors":"Vinayaraj V S , Vedagiri Perumal","doi":"10.1080/19427867.2024.2338325","DOIUrl":"10.1080/19427867.2024.2338325","url":null,"abstract":"<div><div>This study examines crash risk factors and develops a severity model for rear-end and angle collisions in roundabouts and its vicinity in non-lane-based heterogeneous traffic. The rear-end severity is primarily influenced by posted speed limits, violation type, collision partner, single-vehicle collision, and vehicle age. Whereas type of violation, collision partner, and presence of road surface condition are the critical influencing factors for determining the severity outcomes of angle collision. The marginal effects of angle collision results indicated that the probability of fatal injury increased by 28% due to heavy-vehicle-vulnerable road user collisions. In the rear-end case, risk factors such as collision partners (heavy vehicles-vulnerable road users) increased by 18% and single-vehicle collisions increased by 25%, highly influencing the severity of fatal injury at roundabouts. Notably, rear-end collisions exhibit higher severity compared to angle collisions. This study provides valuable insights for developing strategies to mitigate roundabout collision severity.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 2","pages":"Pages 249-259"},"PeriodicalIF":3.3,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140589535","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

Route and charging planning for electric vehicles: a multi-objective approach 电动汽车的路线和充电规划：一种多目标方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-01-02 DOI: 10.1080/19427867.2024.2315359

Marek Cuchý , Michal Jakob , Jan Mrkos

引用次数: 0

Exploring hierarchy shift of travelers’ public transport dependence using an improved Apriori algorithm 利用改进的 Apriori 算法探索旅客对公共交通依赖性的层级变化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-01-02 DOI: 10.1080/19427867.2024.2323314

Song Hu , Lin Wang , Jiancheng Weng , Wei Zhou , Yue Qian , Haipeng Wang

{"title":"Exploring hierarchy shift of travelers’ public transport dependence using an improved Apriori algorithm","authors":"Song Hu , Lin Wang , Jiancheng Weng , Wei Zhou , Yue Qian , Haipeng Wang","doi":"10.1080/19427867.2024.2323314","DOIUrl":"10.1080/19427867.2024.2323314","url":null,"abstract":"<div><div>Special external environments will lead to significant changes in the use behavior and dependence degree of different PT travellers, but it is difficult to analyze the mechanism of the hierarchy shift of travelers’ public transportation (PT) dependence. Exploring travelers’ dependence on PT is conducive to understanding individuals’ travel choice behavior and optimizing PT operation organizations. Developing methods for analyzing the internal causal relationship between travelers’ dependence on PT and the key influencing factors under the special condition is an issue. Therefore, the individual travel chains are constructed by associating and matching the multisource PT big data and travel survey data. Thereafter, the <em>K</em>-means algorithm and an improved Apriori algorithm are developed to mine the frequent association rules of groups, and a framework of cross-hierarchy policy implications is derived based on the differences in association rules. Finally, the stated preference survey method is used to measure the effectiveness of the policies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 72-85"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140002696","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

Joint optimization of fixed route bus networks and complementary paratransit service areas 联合优化固定线路公交网络和辅助公交服务区

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-01-02 DOI: 10.1080/19427867.2024.2320499

Daniel Rodriguez-Roman , José López-Martínez , Alberto M. Figueroa-Medina

引用次数: 0

Short-term traffic flow prediction based on vehicle trip chain features 基于车辆行程链特征的短期交通流预测

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-01-02 DOI: 10.1080/19427867.2024.2334100

Xiaoqing Wang , Feng Sun , Xiaolong Ma , Fangtong Jiao , Benxing Liu , Pengsheng Zhao

{"title":"Short-term traffic flow prediction based on vehicle trip chain features","authors":"Xiaoqing Wang , Feng Sun , Xiaolong Ma , Fangtong Jiao , Benxing Liu , Pengsheng Zhao","doi":"10.1080/19427867.2024.2334100","DOIUrl":"10.1080/19427867.2024.2334100","url":null,"abstract":"<div><div>Short-term traffic flow prediction can improve the efficiency of transportation operations. Historical data-driven prediction methods have been proved to perform well. However, saturated or oversaturated traffic operations cannot be accurately predicted based only on detector data from a single intersection. This study proposes a short-term traffic prediction method based on vehicle trip chain features. First, the video data is pre-processed and quality assessed. Then, vehicle trip chain features are mined to correlate upstream and downstream intersections.Convolutional neural networks and long-short-term-memory model are built next. The model is launched to train the predictor and output the traffic flow for all turns at each approach to the intersection. After cases we demonstrate that the prediction accuracy of CNNs-LSTM is usually better than other methods, especially during oversaturation. In addition, we demonstrate that vehicle trip chain features can improve prediction accuracy and shorten the time consumed by the model.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 157-168"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140634501","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