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

Improved time series models for the prediction of lane-change intention 预测变道意向的改进时间序列模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2379702

Hongrui Zhang , Yonggang Wang , Shengrui Zhang , Jingtao Li , Qushun Wang , Bei Zhou

{"title":"Improved time series models for the prediction of lane-change intention","authors":"Hongrui Zhang , Yonggang Wang , Shengrui Zhang , Jingtao Li , Qushun Wang , Bei Zhou","doi":"10.1080/19427867.2024.2379702","DOIUrl":"10.1080/19427867.2024.2379702","url":null,"abstract":"<div><div>To improve the accuracy of lane-change intention prediction and analyze the influence of driving styles on prediction outcomes, the T-Encoder-Sequence model is proposed in this paper. It integrates the Transformer’s encoder module with various recurrent neural network (RNN) models and introduces a multimodal fusion input structure. Building on this, a risk indicator model, capable of reflecting driver stress, is established to calculate the model’s input parameters. Consequently, the model can simultaneously capture global information and consider the impact of vehicle classes on drivers. Furthermore, the k-means++ algorithm is employed to categorize vehicle trajectories into conservative, conventional, and aggressive types for further analysis. The results demonstrate that training the model with risk indicator parameters markedly enhances prediction performance. Under identical input parameters, the T-Encoder-Sequence model exhibits notably superior prediction efficacy compared to the original model. The T-Encoder-Sequence model, trained with risk indicator parameters, demonstrates substantial advantages compared to other studies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 747-761"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815149","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

Temporal instability of factors affecting injury severity in single-vehicle crashes on rural highways 农村公路单车碰撞事故中受伤严重程度影响因素的时间不稳定性

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2366731

Yaping Wang , Fulu Wei , Yanyong Guo , Yongqing Guo

{"title":"Temporal instability of factors affecting injury severity in single-vehicle crashes on rural highways","authors":"Yaping Wang , Fulu Wei , Yanyong Guo , Yongqing Guo","doi":"10.1080/19427867.2024.2366731","DOIUrl":"10.1080/19427867.2024.2366731","url":null,"abstract":"<div><div>To study the time-of-day variations and temporal stabilities of factors influencing single-vehicle crashes on rural highways, random parameters logit models with heterogeneity in means and variances under different time periods of the day and from year to year were estimated to identify significant factors. The potential crash-influencing factors in drivers, vehicles, roads, and the environment were analyzed to dissect the correlation and variability between the influencing factors and crash injury severity. Likelihood ratio tests were conducted to assess the transferability of model estimation results from different times of the day and from year to year. The results showed that the effect of factors that determine injury severity varied significantly across time-of-day/time-period combinations. Overall temporal instability was observed in the study. However, several explanatory variables showed temporally stable effects in terms of their impact on resulting injury severities. Such as male, driver age (<30), truck, non-dry road surface, and visibility (100–200 m).</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 578-594"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505414","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

User intention to adopt public bicycle sharing system: a priori acceptance approach 用户采用公共自行车共享系统的意愿：先验接受法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2375473

Nidhi Kathait , Amit Agarwal

引用次数: 0

Assessing the factors associated with pedestrian injury severity in hit-and-run crashes in Ghana 评估加纳交通肇事逃逸事故中行人受伤严重程度的相关因素

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2366730

Emmanuel Kofi Adanu , Reuben Tamakloe , Richard Dzinyela , William Agyemang

{"title":"Assessing the factors associated with pedestrian injury severity in hit-and-run crashes in Ghana","authors":"Emmanuel Kofi Adanu , Reuben Tamakloe , Richard Dzinyela , William Agyemang","doi":"10.1080/19427867.2024.2366730","DOIUrl":"10.1080/19427867.2024.2366730","url":null,"abstract":"<div><div>Hit-and-run crashes often have severe consequences for vulnerable road users. In light of governmental efforts to promote pedestrian-friendly urban environments, the significance of these crashes cannot be overstated. In this study, we assessed the factors that influence the injury severity of pedestrians involved in hit-and-run crashes in Ghana. Historical crash data (1469 observations) spanning from 2013 to 2020 was used in this study. An injury-severity model was developed using random parameters logit approach to assess what crash factors significantly affect the injury outcome of the crashes. It was observed that hit-and-run crashes that occur on dark and unlit roadways were more likely to result in fatal injuries. Also, female pedestrians were less likely to be killed in hit-and-run crashes. These findings provide the basis for developing and implementing appropriate countermeasures, such as punitive laws for drivers who leave the crash scene and protective laws for those who help their victims.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 567-577"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141529185","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 comparative analysis of risk factors influencing crash severity between full-time and part-time riding-hailing drivers in China 影响中国专职和兼职顺风车司机碰撞严重性的风险因素比较分析

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2369827

Zhipeng Peng , Hengyan Pan , Renteng Yuan , Yonggang Wang

{"title":"A comparative analysis of risk factors influencing crash severity between full-time and part-time riding-hailing drivers in China","authors":"Zhipeng Peng , Hengyan Pan , Renteng Yuan , Yonggang Wang","doi":"10.1080/19427867.2024.2369827","DOIUrl":"10.1080/19427867.2024.2369827","url":null,"abstract":"<div><div>Ride-hailing is increasingly important in urban public transportation, yet research on its traffic safety remains limited. This study examined risk factors for crash severity among ride-hailing drivers, including demographics, financial burden, phone usage, fatigue, and risky driving behaviors. Data were collected from 2,182 drivers via a self-reported survey. Recognizing potential differences between full-time and part-time drivers, the data were divided accordingly, and two Bayesian network models were generated. The results indicated that both types of drivers suffer from heavy financial burdens and severe fatigue, with certain factors related to risky behaviors or phone usage increasing the likelihood of serious crashes. However, the specific risk factors leading to severe crashes varied between the two groups. Furthermore, the study confirmed that several combinations of risk factors exhibit nonlinear amplification effects on crash severity across different driver groups. These findings may support the design of evidence-based interventions to mitigate crash severity among ride-hailing drivers.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 612-627"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505412","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 instability analysis in single-vehicle crash severity on different roadway classifications 不同道路分类中单车碰撞严重程度的时空不稳定性分析

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2370672

Fulu Wei , Yaping Wang , Yongqing Guo , Yanyong Guo

{"title":"Spatiotemporal instability analysis in single-vehicle crash severity on different roadway classifications","authors":"Fulu Wei , Yaping Wang , Yongqing Guo , Yanyong Guo","doi":"10.1080/19427867.2024.2370672","DOIUrl":"10.1080/19427867.2024.2370672","url":null,"abstract":"<div><div>The severity of crashes on national/provincial roads, urban roads, and rural roads was analyzed. Random parameters logit models with heterogeneity in means and variances under different time periods of the day and roadway classifications were employed. Analysis of factors influencing injury severity of single-vehicle crashes in the driver, vehicle, road, and environment to explore correlation and difference between influencing factors and crash severity. The results showed that the effect of factors that determine injury severity varied significantly across different roadway classifications. Specifically, driver age (<30) and summer were only significantly associated with single-vehicle crashes on urban roads. Dawn/dusk was only significant in single-vehicle crashes on rural roads. Meanwhile, overall spatiotemporal instability was observed in the study. While several indicators were also reported to show relative spatial or temporal stability such as male, driver age (>55), motorcycle, traffic control, and visibility (<100 m).</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 639-652"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141614693","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

Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems 减少流动性大数据中的偏差：大型公交系统监测案例研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2379703

Feilong Wang , Xuegang (Jeff) Ban , Peng Chen , Chenxi Liu , Rong Zhao

{"title":"Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems","authors":"Feilong Wang , Xuegang (Jeff) Ban , Peng Chen , Chenxi Liu , Rong Zhao","doi":"10.1080/19427867.2024.2379703","DOIUrl":"10.1080/19427867.2024.2379703","url":null,"abstract":"<div><div>Big mobility data (BMD) have shown many advantages in studying human mobility and evaluating the performance of transportation systems. However, the quality of BMD remains poorly understood. This study evaluates biases in BMD and develops mitigation methods. Using Google and Apple mobility data as examples, this study compares them with benchmark data from governmental agencies. Spatio-temporal discrepancies between BMD and benchmark are observed and their impacts on transportation applications are investigated, emphasizing the urgent need to address these biases to prevent misguided policymaking. This study further proposes and tests a bias mitigation method. It is shown that the mitigated BMD could generate valuable insights into large-scale public transit systems across 100+ US counties, revealing regional disparities of the recovery of transit systems from the COVID-19. This study underscores the importance of caution when using BMD in transportation research and presents effective mitigation strategies that would benefit practitioners.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 762-775"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141719300","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 novel car-following model for adaptive cruise control vehicles using enhanced intelligent driver model 使用增强型智能驾驶员模型的新型自适应巡航控制车辆跟车模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2376409

Jun Bai , Suyi Mao , Jaeyoung Jay Lee

引用次数: 0

Linear regression coupled Wasserstein generative adversarial network for direct demand modeling of ride-hailing trips in Chicago and Austin 线性回归耦合瓦瑟斯坦生成对抗网络，用于芝加哥和奥斯汀的打车出行直接需求建模

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2372944

Md Hishamur Rahman , Masnun Abrar , Shakil Mohammad Rifaat

{"title":"Linear regression coupled Wasserstein generative adversarial network for direct demand modeling of ride-hailing trips in Chicago and Austin","authors":"Md Hishamur Rahman , Masnun Abrar , Shakil Mohammad Rifaat","doi":"10.1080/19427867.2024.2372944","DOIUrl":"10.1080/19427867.2024.2372944","url":null,"abstract":"<div><div>Accurate estimation of ride-hailing demand and understanding of its influencing factors are necessary for modern-day transportation planning. Although modern machine learning techniques improve the predictive accuracy of zone-to-zone direct demand models, they lack inference ability due to their complex model structure. Furthermore, zone-to-zone direct demand models suffer from limited sample size for machine learning due to fixed number of origin-destination (OD) pairs. To overcome these limitations, we propose a linear regression coupled Wasserstein generative adversarial network (LR-WGAN) for direct demand modeling of zone-to-zone ride-hailing trips that captures both linear explanatory components and non-linear patterns and improves the predictive accuracy by generating data to expand the OD sample size. The proposed LR-WGAN is found to significantly improve the predictive accuracy of OD ride-hailing demand in Chicago and Austin. Furthermore, the linear explanatory component of the model is utilized to draw inferences regarding the relationship between OD ride-hailing demand and predictor variables.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 653-665"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141577802","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 social costs in post-pandemic humanitarian distribution models 在大流行病后人道主义物资分配模式中优化社会成本

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2370669

Tianyang Cai , Yusen Ye , Hong Yan

引用次数: 0