Transportation Letters-The International Journal of Transportation Research最新文献_第4页

Modeling motorcycle crash-injury severity utilizing explainable data-driven approaches 利用可解释的数据驱动方法建模摩托车碰撞伤害严重程度

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2408920

Chamroeun Se , Jirapon Sunkpho , Warit Wipulanusat , Kevin Tantisevi , Thanapong Champahom , Vatanavongs Ratanavaraha

{"title":"Modeling motorcycle crash-injury severity utilizing explainable data-driven approaches","authors":"Chamroeun Se , Jirapon Sunkpho , Warit Wipulanusat , Kevin Tantisevi , Thanapong Champahom , Vatanavongs Ratanavaraha","doi":"10.1080/19427867.2024.2408920","DOIUrl":"10.1080/19427867.2024.2408920","url":null,"abstract":"<div><div>Motorcycle crashes remain a significant public safety concern, requiring diverse analytical approaches to inform countermeasures. This study uses machine learning to analyze injury severity in crashes in Thailand from 2018 to 2020. Traditional and advanced models, including including random forest (RF), support vector machine (SVM), deep neural network (DNN), recurrent neural network (RNN), long short-term memory (LSTM), and eXtreme gradient boosting (XGBoost), were compared. Hyperparameter tuning via GridSearchCV optimized performance. XGBoost, with a tradeoff score of 105.65%, outperformed other models in predicting severe and fatal injuries. SHapley Additive exPlanations (SHAPs) identified significant risk factors including speeding, drunk driving, two-lane roads, unlit conditions, head-on and truck collisions, and nighttime crashes. Conversely, factors such as barrier medians, flashing traffic signals, sideswipes, rear-end crashes, and wet roads were associated with reduced severity. These findings suggest opportunities for integrated infrastructure improvements and expanded rider training and education programs to address behavioral risks.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1053-1078"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572108","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

Predictive classification of pedestrian-vehicle crossing behaviors using a hybrid mountain gazelle optimizer-enhanced Long Short-Term Memory model 基于混合山瞪羚优化器增强长短期记忆模型的人行横道行为预测分类

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2404358

Wenxiao Song , Lu Wang , Chao Wang , Chengcheng Shen , Jie Zhao , Nenggang Xie , Kang Hao Cheong

{"title":"Predictive classification of pedestrian-vehicle crossing behaviors using a hybrid mountain gazelle optimizer-enhanced Long Short-Term Memory model","authors":"Wenxiao Song , Lu Wang , Chao Wang , Chengcheng Shen , Jie Zhao , Nenggang Xie , Kang Hao Cheong","doi":"10.1080/19427867.2024.2404358","DOIUrl":"10.1080/19427867.2024.2404358","url":null,"abstract":"<div><div>This paper addresses the safety issues of pedestrian-vehicle interactions at unsignalized pedestrian crossings by proposing a Hybrid Mountain Gazelle Optimizer-Long Short-Term Memory (HMGO-LSTM) model. The proposed model combines the Hybrid Mountain Gazelle Optimizer (HMGO) algorithm with a Long Short-Term Memory (LSTM) network, using HMGO as an LSTM hyperparameter optimizer. Real-world datasets of pedestrian and vehicle crossings from Ma’anshan were used to train and evaluate the model. The HMGO-LSTM model was compared with traditional classifiers such as K-Nearest Neighbors (KNN), Random Forest (RF), and Genetic Algorithm-Backpropagation (GA-BP). The results show that the HMGO-LSTM model outperforms these classifiers in predicting pedestrian-vehicle interaction behaviors, achieving higher classification accuracy and F1 score. The model also optimizes safety intervals for crossings, leading to new speed limit recommendations. Overall, the HMGO-LSTM model provides a robust theoretical foundation for managing and designing safer pedestrian and vehicle crossings.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1017-1029"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572110","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

Optimizing fleet, staff configuration and operational strategies in one-way mixed fleet carsharing systems: a Lagrangian relaxation-based approach 单向混合车队汽车共享系统中优化车队、员工配置和运营策略：基于拉格朗日松弛的方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2407184

Hao Li , Zhengwu Wang , Shuiwang Chen , Weiyao Xu , Yan Li , Jie Wang

{"title":"Optimizing fleet, staff configuration and operational strategies in one-way mixed fleet carsharing systems: a Lagrangian relaxation-based approach","authors":"Hao Li , Zhengwu Wang , Shuiwang Chen , Weiyao Xu , Yan Li , Jie Wang","doi":"10.1080/19427867.2024.2407184","DOIUrl":"10.1080/19427867.2024.2407184","url":null,"abstract":"<div><div>This study explores enhancing carsharing services by integrating gasoline and electric vehicles into a one-way mixed fleet carsharing system (OMFCS). The focus is on optimizing configurations (fleet and staff size, initial deployment) and operational strategies (vehicle relocation and staff rebalancing) while considering carbon emission costs. Employing a space-time-electricity network modeling approach, we developed an integer linear programming model to tackle the configurations and operational strategies optimization problem. For solving this model, we introduce a Lagrangian relaxation-branch bound approach, which integrates subgradient, dynamic programming and greedy-based heuristics algorithm. An illustrative case and a real-world case are conducted to demonstrate the efficiency of the proposed solution method and the analysis sheds light on the configurations and operational strategies of OMFCS. The sensitive analysis results suggest that OMFCS is more profitable and balances user service quality and carbon emissions better than carsharing systems using only one type of vehicle.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1030-1052"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572503","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

Automatic activity-travel sequence generator using language, grammar, and machine theory 使用语言、语法和机器理论的自动活动旅行序列生成器

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2416309

Pushkin Kachroo , Anil Koushik , M. Manoj

{"title":"Automatic activity-travel sequence generator using language, grammar, and machine theory","authors":"Pushkin Kachroo , Anil Koushik , M. Manoj","doi":"10.1080/19427867.2024.2416309","DOIUrl":"10.1080/19427867.2024.2416309","url":null,"abstract":"<div><div>Activity schedule results from a complex decision-making process characterized by several interrelated decisions. Different facets of an activity schedule such as activity type, timing, duration, etc. influence each other and this makes modeling activity schedules a complex task. This complexity has compelled researchers to explore different approaches for modeling activity schedules, among which two predominant approaches can be identified: the utility-maximization theory based econometric approach and the computational process modeling approach. Despite their advantages and a few successful practical applications, challenges still remain leaving avenues for exploration of new approaches. This paper contributes in this direction by reviewing the relationship between language, grammar, and machines in the context of sequence analysis for activity sequence generation. Following that, the paper presents a stochastic Finite State Machine that can generate activity sequences to match the frequency distribution of sequences from a given data set. Our results show that the proposed algorithm can not only generate activity sequences with a distribution similar to that of original data but can also efficiently generate new patterns not in the original data.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1091-1100"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572504","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

Electric vehicles in emergencies and evacuations: a review of resilience and future research directions 紧急情况和疏散中的电动汽车：弹性回顾和未来研究方向

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2415753

Mohammad Hossein Babaei , Stephen D. Wong

{"title":"Electric vehicles in emergencies and evacuations: a review of resilience and future research directions","authors":"Mohammad Hossein Babaei , Stephen D. Wong","doi":"10.1080/19427867.2024.2415753","DOIUrl":"10.1080/19427867.2024.2415753","url":null,"abstract":"<div><div>Disasters often require large-scale evacuations, and damage key infrastructure (e.g., power, transportation). With growing electric vehicle (EV) adoption and electrification of transportation, governments and utilities may face significant power challenges during disasters, especially during the evacuation stage. Low state-of-charge, sporadic charging infrastructure, or power outages could significantly hamper safe and effective evacuations. Yet, EVs also offer possible resilience benefits to emergency response by more easily charging electronics or sending power back to the grid through vehicle-to-grid (V2G) technology. This paper focuses on the opportunities, benefits, and drawbacks of EVs in disasters and evacuations through a systematic review of current literature, reports, and sources. Overall, this review discovered EVs show promise as modes of transportation and mobile energy supply units. However, crucial challenges such as charging infrastructure locations, upfront cost of resilience technologies, and user behavior necessitate more dedicated research to overcome shortcomings and guide more realistic implementation of benefits.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1101-1113"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572497","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

Design a robust joint service of integrating demand responsive connectors (DRC) and shared bikes 设计一个集成需求响应连接器（DRC）和共享单车的强大联合服务

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2401237

Xin Li , Hang Xu , Zhanghua Teng , Qingxin Yin , Yun Yuan

引用次数: 0

Comparative analysis of macroscopic traffic models for evaluating shockwaves under lane closures on an urban highway using the LWR model 用LWR模型对城市高速公路封闭车道下冲击波的宏观交通模型进行比较分析

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2404351

Mohammad Amin Yasari , Iman Aghayan , Gholam Reza Shiran , Farhad Hadadi

{"title":"Comparative analysis of macroscopic traffic models for evaluating shockwaves under lane closures on an urban highway using the LWR model","authors":"Mohammad Amin Yasari , Iman Aghayan , Gholam Reza Shiran , Farhad Hadadi","doi":"10.1080/19427867.2024.2404351","DOIUrl":"10.1080/19427867.2024.2404351","url":null,"abstract":"<div><div>Lane closure due to traffic crashes is a complex phenomenon that negatively affects the operational performance of highways and leads to secondary lane closures. The present study investigates the effects of shockwaves caused by a heavy vehicle run-off-road crash on a three-lane urban highway in Isfahan, Iran. Additionally, the study simulates the effects of lane closures on shockwaves and density using the Lighthill, Whitham, and Richards (LWR) theory and macroscopic traffic flow based on field data. An analysis of traffic flow models revealed that one-lane and two-lane closures reduce maximum flow by 29% and 61%, respectively, compared to normal conditions. The results showed that the minimum relative error (RE) for lane closures is associated with shockwave models based on the Underwood speed-density model, expanded using the Taylor series. Therefore, the shockwave model based on the Underwood model with Taylor series expansion outperforms other models.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1004-1016"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572499","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

Analysis of congestion key parameters, dynamic discharge process, and capacity estimation at urban freeway bottlenecks: a case study in Beijing, China 城市高速公路瓶颈拥堵关键参数分析、动态排放过程及容量估算——以北京为例

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2404349

Yuyan (Annie) Pan , Qixiu Cheng , Anran Li , Jianbo Zhang , Jifu Guo , Yanyan Chen

{"title":"Analysis of congestion key parameters, dynamic discharge process, and capacity estimation at urban freeway bottlenecks: a case study in Beijing, China","authors":"Yuyan (Annie) Pan , Qixiu Cheng , Anran Li , Jianbo Zhang , Jifu Guo , Yanyan Chen","doi":"10.1080/19427867.2024.2404349","DOIUrl":"10.1080/19427867.2024.2404349","url":null,"abstract":"<div><div>Recurring bottlenecks significantly contribute to urban freeway congestion, making their analysis essential. This study examines six bottlenecks on Beijing’s Ring Road using multi-day data, identifying them via Dynamic Time Warping and Fuzzy C-Means Clustering (DTW+FCM). Key parameters—free-flow speed, critical speed, critical density, and jam density—are calibrated using fundamental diagram models. The Weibull distribution analyzes flow and speed patterns during congestion phases. The DTW+FCM method effectively identified bottlenecks and congestion levels. Severe congestion lasting over 10 hours on the West Second and Third Ring Roads averaged speeds of 15 km/h. The S3 model best fits data for the West Ring Roads, while the Van Aerde model suits the North Ring Roads. Different methods yield varying traffic capacity estimates, highlighting the need for nuanced approaches in urban expressway planning to maintain traffic quality and comfort. These findings offer valuable guidance for research and practical traffic management solutions.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 984-1003"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572505","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 factors affecting the injury severity of highway-rail grade crossing crashes during the COVID-19 pandemic 探究 COVID-19 大流行期间影响公路铁路道口碰撞事故伤害严重程度的因素

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2392062

Qiaoqiao Ren , Min Xu

{"title":"Exploring factors affecting the injury severity of highway-rail grade crossing crashes during the COVID-19 pandemic","authors":"Qiaoqiao Ren , Min Xu","doi":"10.1080/19427867.2024.2392062","DOIUrl":"10.1080/19427867.2024.2392062","url":null,"abstract":"<div><div>The outbreak of COVID-19 pandemic could alter the injury severity pattern of highway-rail grade crossing (HRGC) crashes. To compare factors affecting injury severities before and during the pandemic, HRGC crashes occurring between 2018 and 2021 in the United States were collected. A random parameters logit model with heterogeneity in means was developed to investigate the impact of multiple factors during the pandemic (2020-2021). Besides, a multinomial logit model was developed for the pre-pandemic (2018-2019) crashes. The present study indicates that the existence of old drivers and illuminated crossings generated random parameters with heterogeneity in means during the pandemic, which were affected by the driver in vehicle, estimated train speed, and crossing AADT indicators. As for the pre-pandemic period, no significant random parameters and unobserved heterogeneity were captured. Significant variables also differed markedly between these two periods, with no significant driver-related or vehicle-related indicators identified from 2018 to 2019.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 5","pages":"Pages 816-826"},"PeriodicalIF":3.3,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220914","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 effect of built environment on spatiotemporal evolution of traffic congestion using a novel GTWR model: a case study of Hefei, China 利用新型 GTWR 模型探索建筑环境对交通拥堵时空演变的影响：中国合肥案例研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-05-28 DOI: 10.1080/19427867.2024.2396773

Huiwen Liu , Weihua Zhang , Shiguang Wang , Zeyang Cheng , Liyang Wei , Wenjuan Huang

{"title":"Exploring the effect of built environment on spatiotemporal evolution of traffic congestion using a novel GTWR model: a case study of Hefei, China","authors":"Huiwen Liu , Weihua Zhang , Shiguang Wang , Zeyang Cheng , Liyang Wei , Wenjuan Huang","doi":"10.1080/19427867.2024.2396773","DOIUrl":"10.1080/19427867.2024.2396773","url":null,"abstract":"<div><div>Understanding the impact of the built environment on traffic congestion can provide reliable references for alleviating traffic congestion. Previous research has explored traffic congestion evolution but often overlooks two key aspects: the frequency of congestion state updates and the spatial-temporal impact of built environment features. Based on data from Hefei, China, we propose a novel geographically and temporally weighted regression (GTWR) model that integrates temporal variables and spatial grids into the traditional GWR model. The empirical results show that public facilities most significantly impact congestion during morning peak hours, scenic spots during afternoon peaks, and motorcycle services in the evening. The study also reveals the rules for the spatiotemporal impact of the built environment on traffic congestion. Finally, the comparison of models shows that the GTWR model outperforms the OLS and GWR models. The findings can guide traffic managers in creating targeted strategies to enhance transportation system efficiency.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 5","pages":"Pages 869-880"},"PeriodicalIF":3.3,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142220875","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