Transportation Letters-The International Journal of Transportation Research最新文献_第2页

Shared travel demand forecasting and multi-phase vehicle relocation optimization for electric carsharing systems 电动汽车共享系统的共享出行需求预测和多阶段车辆迁移优化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-10-20 DOI: 10.1080/19427867.2023.2262205

引用次数: 0

Psychological antecedents of electric vehicle adoption in the West Bank 约旦河西岸采用电动汽车的心理诱因

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-10-20 DOI: 10.1080/19427867.2023.2266184

引用次数: 0

Can taxi data inform bus route improvement? A case study in Shanghai 出租车数据能否为公交线路改进提供参考？上海案例研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-10-20 DOI: 10.1080/19427867.2023.2262207

引用次数: 0

Multi-objective optimization for through train service integrating train operation plan and type selection 结合列车运行计划和类型选择的直通列车服务多目标优化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-10-20 DOI: 10.1080/19427867.2023.2264046

引用次数: 0

Experimental study on the departure time choice behavior during the morning rush hours under different road capacity conditions 不同道路通行能力条件下早高峰时段出发时间选择行为的实验研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-10-20 DOI: 10.1080/19427867.2023.2259143

引用次数: 0

Impact assessment of professional drivers’ speed compliance and speed adaptation with posted speed limits in different driving environments and driving conditions 职业驾驶员在不同驾驶环境和驾驶条件下遵守速度规定和速度适应的影响评估

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-09-13 DOI: 10.1080/19427867.2023.2252222

{"title":"Impact assessment of professional drivers’ speed compliance and speed adaptation with posted speed limits in different driving environments and driving conditions","authors":"","doi":"10.1080/19427867.2023.2252222","DOIUrl":"10.1080/19427867.2023.2252222","url":null,"abstract":"<div><div>This study analyzed the impact of driving environments (real-world and simulated world) and driving conditions (no time pressure and time pressure) on speed compliance and speed adaptation. Professional car drivers were recruited, and the data was collected in real-world and simulated world under no time pressure and time pressure driving conditions. The comparison results using Wilcoxon-signed rank test showed that speed compliance and speed adaptation were not consistently significant and were not in the same direction highlighting the influence of various factors like road features and driver characteristics. The generalized linear mixed model results showed that speed compliance was relatively better in simulated world (by 3.98 kmph) than real-world. Further, speed adaptation under time pressure was about 5.86 kmph lower during real-world as compared to simulated world. The findings from this study can provide new insights on road safety strategies and policy implications for limiting speeding-related crash risks.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 8","pages":"Pages 872-882"},"PeriodicalIF":3.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42001120","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 detection in diverse traffic using an ensemble convolutional neural backbone via feature concatenation 基于特征拼接的集成卷积神经主干在不同交通条件下的车辆检测

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-09-13 DOI: 10.1080/19427867.2023.2250622

{"title":"Vehicle detection in diverse traffic using an ensemble convolutional neural backbone via feature concatenation","authors":"","doi":"10.1080/19427867.2023.2250622","DOIUrl":"10.1080/19427867.2023.2250622","url":null,"abstract":"<div><div>Nowadays, deploying an intelligent vehicle detection system (IVDS) in diverse traffic is a work priority. It provides real-time traffic information with vehicle counts and types of vehicles. IVDS deployment in diverse traffic is challenging because different vehicle classes occlude each other on the road. In recent years, convolutional neural network (CNN) based deep learning (DL) methods have attained incredible progress in implementing IVDS. However, most CNN-based DL methods do not include diverse traffic conditions in Asian countries. Also, due to existing feature extraction backbones, they cannot accurately detect multi-scale vehicles. This work proposes an advanced visual computing deep learning (AVCDL) method with a vast labeled vehicle dataset to detect vehicles in diverse traffic. It includes an ensemble backbone and an improved multi-stage vehicle detection head (MSVDH). An ensemble CNN backbone extracts the vehicle features and combines them on a single channel via a feature concatenation. The final detection is carried out by an improved MSVDH that classifies the target vehicles. The proposed method is examined, tested, and evaluated using traffic statistics. It is contrasted with current cutting-edge vehicle detection techniques. It achieves 86.32% mean average precision (mAP) on self-collected diverse traffic labeled dataset (DTLD) and 86.17% mAP on KITTI. Moreover, the real-time performance is validated with NVIDIA Jetson Tx2 and Nano boards. It achieves 15 frames per second (FPS) on Jetson Tx2 and 7 FPS on Jetson Nano.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 8","pages":"Pages 838-856"},"PeriodicalIF":3.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45326643","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

Simulation and optimization of dynamic-hybrid parking reservation strategies for one-way vehicle-sharing systems 单向车辆共享系统动态混合停车预约策略的仿真与优化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-09-13 DOI: 10.1080/19427867.2023.2254527

引用次数: 0

Determination of the optimal connected and automated vehicles platoon size based on the merging success rate 基于归并成功率的网联与自动驾驶车辆最优队列大小确定

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-09-13 DOI: 10.1080/19427867.2023.2252220

{"title":"Determination of the optimal connected and automated vehicles platoon size based on the merging success rate","authors":"","doi":"10.1080/19427867.2023.2252220","DOIUrl":"10.1080/19427867.2023.2252220","url":null,"abstract":"<div><div>The platoon size is a critical parameter in connected and automated vehicle (CAV) platoon configuration. However, the optimal platoon size configuration for the mixed human-driven vehicles (HVs) and CAVs traffic has not been well-studied, especially in merging areas. This paper aims to determine the optimal platoon size in the merge area through numerical analysis. Specifically, the existing merge probability calculation model is improved considering the impact of mainline random platoon size on on-ramp vehicles. In the improved model, the CAV platoon is treated as a vehicle with different lengths, and the headway between the platoon and single vehicle and the headway between the platoons are related to the maximum platoon size and CAV penetration rate. Three key parameters, namely the CAV penetration rate, acceleration lane length, and mainline traffic volume, were combined at various values. Based on this input, the relationship between the success rate and the platoon size was analyzed. The numerical analysis results indicate that: (1) when the CAV penetration rate is 10% ~30%, the merge success rate increases and stabilizes as the platoon size increases, and the optimal platoon size is 4 ~ 6. (2) When the CAV penetration rate is 40% ~70%, the trend of merge success rate varies with increasing platoon size under different mainline traffic volumes and acceleration lane lengths. Under the situation with lower traffic and longer acceleration length, the merge success rate tends to decline easier with larger platoon sizes, with 3 ~ 8 being the optimal platoon size. (3) When the CAV penetration rate is 80% ~90%, as the platoon size increases, the merging success rate tends to increase to the highest point and decrease. The optimal platoon size is 3 ~ 5. Finally, the validity of the theoretical model is confirmed through simulation experiments, and its limitations are discussed.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 8","pages":"Pages 857-871"},"PeriodicalIF":3.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42014197","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

Crossing conflict models for urban un-signalized T-intersections in India 印度城市无信号t型交叉口的交叉冲突模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-09-13 DOI: 10.1080/19427867.2023.2250161

{"title":"Crossing conflict models for urban un-signalized T-intersections in India","authors":"","doi":"10.1080/19427867.2023.2250161","DOIUrl":"10.1080/19427867.2023.2250161","url":null,"abstract":"<div><div>Traffic conflict is frequently utilized as a stand-in for crashes for analyzing traffic safety from a broader perspective for varying roadways and traffic conditions. In Indian heterogeneous traffic conditions, vehicles with various static and dynamic properties interact simultaneously in longitudinal and lateral directions, forming traffic conflicts. To this end, the present study develops crossing conflict-based safety performance functions (C-SPFs) for eight urban un-signalized T-intersections. The video-graphic survey approach was used to gather the necessary traffic data with different intersection and traffic flow characteristics. After that, from the recorded video, traffic conflicts were identified using the Post encroachment time (PET) for the selected eight study intersections. Based on the PET values, crossing conflicts were initially divided into critical conflicts (CC) and non-critical conflicts (NCC). Then, using the Poisson-Tweedie regression technique, crossing conflicts were modeled as a function of traffic flow and intersection-related parameters. The findings showed that the most important factors defining the number of CC and NCC are intersection geometry (with or without Central Island), time of day, traffic volume, and composition (offending and conflicting approach). Based on the study’s findings, city planners and traffic engineers estimate the number of CC and NCC; as a result, they may project the necessary laws, rules, and regulations to enhance traffic safety operations.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 8","pages":"Pages 829-837"},"PeriodicalIF":3.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42586026","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