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

Adaptive large neighborhood search for the two-echelon location routing problem with simultaneous pickup and delivery and parcel lockers 双梯队位置路径问题的自适应大邻域搜索

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-13 DOI: 10.1080/19427867.2026.2613144

Vincent F. Yu , Le Nguyen Hoang Vinh , Rafli Muhammad Rangga Kusuma , Iwan Vanany , Niniet Indah Arvitrida

{"title":"Adaptive large neighborhood search for the two-echelon location routing problem with simultaneous pickup and delivery and parcel lockers","authors":"Vincent F. Yu , Le Nguyen Hoang Vinh , Rafli Muhammad Rangga Kusuma , Iwan Vanany , Niniet Indah Arvitrida","doi":"10.1080/19427867.2026.2613144","DOIUrl":"10.1080/19427867.2026.2613144","url":null,"abstract":"<div><div>Last-mile delivery in urban areas faces challenges due to traffic congestion and difficult access, leading to increased costs. To address these issues, the literature has explored alternative strategies such as parcel lockers and network optimization. This research enhances the Two-Echelon Location Routing Problem with Simultaneous Pickup and Delivery (2E-LRPSPD) by integrating parcel lockers into the new 2E-LRPSPD-PL model. In this model the first echelon includes a single depot, open satellites, and parcel lockers, while the second echelon features routes from satellites to home service and parcel locker customers. We propose an Adaptive Large Neighborhood Search (ALNS) heuristic and compare its performance with the CPLEX solver. Results show that ALNS consistently finds high-quality solutions more quickly than CPLEX. Most importantly, integrating parcel lockers results in a significant reduction in total travel distance, up to 64%, demonstrating the effectiveness of this approach in improving operational efficiency and customer convenience in urban logistics.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 967-994"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208307","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 study on dynamic scheduling of AGV in ACTs with consideration of battery constraints 考虑电池约束的ACTs中AGV动态调度研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-18 DOI: 10.1080/19427867.2026.2613148

Ruihua Wang , Xuejun Feng , Suyang Wang , Ran Yan

{"title":"A study on dynamic scheduling of AGV in ACTs with consideration of battery constraints","authors":"Ruihua Wang , Xuejun Feng , Suyang Wang , Ran Yan","doi":"10.1080/19427867.2026.2613148","DOIUrl":"10.1080/19427867.2026.2613148","url":null,"abstract":"<div><div>Automated guided vehicles (AGVs) have significantly improved automation and efficiency in automated container terminals (ACTs). As AGVs rely on electric power, their operational range directly influences their overall performance, making effective battery management essential. This study introduces the first application of wireless AGV charging at ports, developing a hybrid AGV charging system. A dual-engine mechanism is proposed: a rule engine formulates task assignment strategies, while a learning engine employing a hybrid metaheuristic-based algorithm optimizes routing. Integrating real-time battery status into scheduling achieves dynamic coordination between task allocation and path planning. Results show wireless charging reduces centralized charging events and shortens AGV idle time by 7.21%. Combined with optimized scheduling, terminal efficiency further improves, reducing operational time by an additional 10.31%. Optimal performance occurs at a 16% charging threshold, balancing charging frequency, equipment lifespan, and scheduling stability. These findings support effective decision-making for AGV energy strategies in ACTs.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 1008-1023"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208309","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

Physics-informed deep reinforcement learning-based car-following model and simulation analysis for different vehicle Types 基于物理信息的深度强化学习汽车跟随模型及不同车型的仿真分析

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-10 DOI: 10.1080/19427867.2026.2613235

Xinwu Yuan , Dalin Qian , Sixian Li , Zhenxin Hu

{"title":"Physics-informed deep reinforcement learning-based car-following model and simulation analysis for different vehicle Types","authors":"Xinwu Yuan , Dalin Qian , Sixian Li , Zhenxin Hu","doi":"10.1080/19427867.2026.2613235","DOIUrl":"10.1080/19427867.2026.2613235","url":null,"abstract":"<div><div>Car-following models describe how vehicles dynamically follow a leader in traffic. These models are essential for simulating traffic flow and analyzing its characteristics. Traditional car-following models often have simple structures and exhibit low prediction accuracy, whereas data-driven models improve prediction accuracy but often lack interpretability and show low simulation stability due to their ‘black-box’ nature. To overcome these limitations, this paper introduces a physics-informed deep reinforcement learning-based car-following model. The model includes a spatio-temporal information extraction module that captures spatial, temporal, and vehicle-level features during car-following to enhance decision-making. Additionally, we apply a deep reinforcement learning framework alongside a variable time step simulation method to more accurately replicate consistent driver behavior. We conducted traffic flow simulation experiments, confirming that our model effectively reproduces natural stochastic driving behaviors while accurately reflecting real traffic conditions. The proposed model accurately represents car-following behavior, ensuring that traffic flow simulations closely reflect objective reality.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 1103-1126"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208533","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

An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem 致命崩溃的可解释两阶段预测框架：缓解极端数据不平衡问题

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-11 DOI: 10.1080/19427867.2026.2613231

Jingyang Li , Fengxiang Guo , Wenchen Yang , Chunyang Han , Yunpeng Wu

{"title":"An interpretable two-stage prediction framework for fatal crashes: mitigating extreme data imbalance problem","authors":"Jingyang Li , Fengxiang Guo , Wenchen Yang , Chunyang Han , Yunpeng Wu","doi":"10.1080/19427867.2026.2613231","DOIUrl":"10.1080/19427867.2026.2613231","url":null,"abstract":"<div><div>Traffic crash analysis of mountainous freeways frequently relies on imbalanced data, hindering effective prediction of fatal crashes. Previous research has not fully explored performance improvement for fatal crash prediction, leading to insufficient model performance. This study proposes a two-stage prediction (TSP) framework based on Stacked Sparse Autoencoder (SSAE), which sequentially classifies each injury severity to enhance prediction performance. First, K-means is used for unsupervised clustering to improve data homogeneity. The Adaptive Synthetic Sampling Approach (ADASYN) balances the dataset by increasing sample size. Then, LightGBM with Partial Dependence Plot (PDP) analysis identifies key features and reveals their nonlinear relationships with injury severity. The TSP-SSAE model is compared with Support Vector Machine (SVM), LightGBM, and Deep Neural Network (DNN). Results show TSP-SSAE achieves higher accuracy, precision, recall, and F1-score. It effectively handles extreme data imbalance and improves predictive performance, particularly enhancing fatal crash prediction accuracy, thereby providing insights for traffic safety management.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 1064-1087"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208304","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

Variable multi-path signal progression for arterial coordination considering queue clearance and spillback prevention 考虑队列清除和防止溢出的动脉协调的可变多径信号进展

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-29 DOI: 10.1080/19427867.2026.2613225

Changjian Wu , Qi Cao , Gang Ren , Yue Deng , Shuichao Zhang

{"title":"Variable multi-path signal progression for arterial coordination considering queue clearance and spillback prevention","authors":"Changjian Wu , Qi Cao , Gang Ren , Yue Deng , Shuichao Zhang","doi":"10.1080/19427867.2026.2613225","DOIUrl":"10.1080/19427867.2026.2613225","url":null,"abstract":"<div><div>The current arterial signal coordination models only target through traffic, resulting in local traffic issues. To address these issues, two enhanced multi-path progression models are proposed in this study. The first model (<em>M</em>-1) treats each road segment as the basic coordination unit and relaxes the uniform bandwidth constraint in traditional models. Building on this, the second model (<em>M</em>-2) incorporates the impact of vehicle queues. The spatial-temporal evolution of the queueing process at a signalized arterial road is modeled. The queue clearance and queue length constraints are established to enhance the continuity of coordinated traffic-flows and prevent queue spillover. Numerical results demonstrate that the proposed models effectively increase green bandwidth on critical paths. Simulation comparisons further show that, relative to BANDTOP and MULTIPATH, the models achieve lower average delays and fewer stops, with the advantages of <em>M</em>-2 being particularly significant under near-saturated traffic conditions.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 1024-1048"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208310","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

Spatiotemporal interactive progressive dynamic graph convolutional networks for traffic flow prediction 交通流预测的时空交互式渐进动态图卷积网络

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-11 DOI: 10.1080/19427867.2026.2613143

Linlong Chen , Hongyan Wang , Linbiao Chen , Jian Zhao

引用次数: 0

Multidimensional connectivity of North Korean arterial roads 朝鲜主干道的多维连通性

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-09 DOI: 10.1080/19427867.2026.2613233

Songhee Jeong , Justin S. Chang

{"title":"Multidimensional connectivity of North Korean arterial roads","authors":"Songhee Jeong , Justin S. Chang","doi":"10.1080/19427867.2026.2613233","DOIUrl":"10.1080/19427867.2026.2613233","url":null,"abstract":"<div><div>North Korea is one of the world’s most isolated countries, and this isolation is embedded in its road transportation system. Shaped by difficult topography and centralized state investment, the road network is fragmented and cannot be adequately explained using conventional single-scale connectivity measures. This study applies a multidimensional network analysis to examine North Korea’s road system across global, intercity, and local scales, using community detection and centrality metrics. The results reveal a strongly centralized structure dominated by Pyongyang, which consistently ranks among the most important nodes at all analytical levels. In contrast, inter-regional connectivity remains weak, and many connections depend on structurally fragile corridors near community boundaries. These findings suggest that the road network prioritizes centralized control over regional mobility and accessibility. By offering the first quantitative assessment of North Korea’s road system, the study demonstrates how multidimensional approaches can improve transport network analysis in politically and geographically constrained contexts.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 1088-1102"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208532","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

Prediction of signalized intersection delays using genetic programming, XGBoost, and clustering approach 基于遗传规划、XGBoost和聚类方法的信号交叉口延迟预测

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-18 DOI: 10.1080/19427867.2026.2616625

Ruti Politi

{"title":"Prediction of signalized intersection delays using genetic programming, XGBoost, and clustering approach","authors":"Ruti Politi","doi":"10.1080/19427867.2026.2616625","DOIUrl":"10.1080/19427867.2026.2616625","url":null,"abstract":"<div><div>Precise estimation of average control vehicle delay is a critical parameter for the efficient operation and optimization of signalized intersections. This paper presents predictive models for estimating delays at signalized intersections that are developed by using Genetic Programming (GP) and Extreme Gradient Boosting (XGBoost). The combination of GP’s ability to derive interpretable mathematical expressions and XGBoost’s reliability in handling nonlinear relationships provides a comprehensive framework for accurate delay prediction. In order to capture data-driven patterns, the dataset was separated using k-means clustering and grouped-based segmentation. Both six <em>k</em>-means clusters and four different groups were compared with traditional delay models (HCM, and Akçelik). The results indicate that the models demonstrated good performance to estimate delays at signalized intersections under varying saturation degrees, reflecting different traffic volumes. These findings suggest that machine learning-based delay estimation models can significantly advance both theoretical research and practical applications in traffic management for signalized intersections.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 1173-1193"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208216","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 methodology for urban bike network design using floating car data: evidence from a medium-size city 基于浮动汽车数据的城市自行车网络设计方法：来自中型城市的证据

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-22 DOI: 10.1080/19427867.2025.2612627

Antonio Comi , Antonio Polimeni

引用次数: 0

Understanding aggressive driving: a dual-theory approach using the norm Activation model and the theory of planned behavior 理解攻击性驾驶：使用规范激活模型和计划行为理论的双理论方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2026-05-28 Epub Date: 2026-01-09 DOI: 10.1080/19427867.2026.2613146

Mansour Hadji Hosseinlou , Amirhossein Gholizadeh

{"title":"Understanding aggressive driving: a dual-theory approach using the norm Activation model and the theory of planned behavior","authors":"Mansour Hadji Hosseinlou , Amirhossein Gholizadeh","doi":"10.1080/19427867.2026.2613146","DOIUrl":"10.1080/19427867.2026.2613146","url":null,"abstract":"<div><div>This study integrates the Norm Activation Model (NAM) and the Theory of Planned Behavior (TPB), along with two additional constructs – Multitasking While Driving (MWD) and Ego-Driven Driving Perception (EDDP) – to examine the psychological mechanisms underlying aggressive driving behaviors (ADB). A cross-sectional online survey was conducted among urban drivers in Tehran, Iran, using a convenience sampling strategy. The survey was distributed via social media platforms, and participation was voluntary, yielding 510 valid responses. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that personal norms, influenced by awareness of consequences and ascription of responsibility, reduce ADB, while attitudes, perceived behavioral control, and subjective norms intensify it. Notably, EDDP, influenced by MWD, weakens ethical norms and increases aggression, highlighting the interplay between personal morality and self-perceived expertise in shaping driving behaviors, while offering useful insights for urban traffic safety policies and driver behavior interventions.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"18 5","pages":"Pages 995-1007"},"PeriodicalIF":3.3,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148208308","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