{"title":"Evaluating the effectiveness of engineering countermeasures at yellow dilemma zone: a driving simulator-based study","authors":"Bharat Kumar Pathivada , Vedagiri Perumal","doi":"10.1080/19427867.2024.2321399","DOIUrl":"10.1080/19427867.2024.2321399","url":null,"abstract":"<div><div>The indecisiveness of drivers at the yellow onset creates a dilemma zone (DZ) upstream of the signalized crossings. The yellow light dilemma negatively influences intersection safety, often leading to rear-end and right-angle collisions. This study explores the impact of upstream road marking and active in-vehicle warnings designed based on DZ boundaries. The prototype concepts of in-vehicle warning systems and upstream road marking were designed and implemented in the driving simulator environment. The driver responses from the experimental setup were captured to evaluate the effectiveness of the designed DZ countermeasures. Study results indicate that implemented DZ countermeasures (i.e. DZ road marking, in-vehicle display warning, and in-vehicle audio warning) significantly decreased the drivers’ crossing probability, resulting in a shorter dilemma zone. However, the proposed countermeasures did not show any improvement in the drivers’ red-light running (RLR) behavior. The driving simulator study showed promising results in reducing aggressive crossing responses at the yellow onset.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 49-60"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140011484","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}
Guanqun Wang , Zhigang Xu , Yizhe Cao , Siming Zhai , Peng Liu
{"title":"Cooperative vehicle-infrastructure warning (CVIW) applications: people’s willingness to pay and perceived importance","authors":"Guanqun Wang , Zhigang Xu , Yizhe Cao , Siming Zhai , Peng Liu","doi":"10.1080/19427867.2024.2319998","DOIUrl":"10.1080/19427867.2024.2319998","url":null,"abstract":"<div><div>Cooperative vehicle-infrastructure warning (CVIW) applications have great potential to relieve traffic congestion and improve traffic safety and mobility. To understand their public acceptance, we investigated Chinese drivers’ (<em>N</em> = 427) perceived importance and willingness to pay (WTP) for 11 CVIW applications, and their potential demographic determinants. Overall, the surveyed participants felt positive toward some of the involved CVIW applications. Among them, 32.6% (long downhill warning) to 79.2% (emergency brake warning) judged the CVIW applications as (very) important. “Emergency brake warning” application had the highest WTP, and “traffic jam warning” application had the lowest WTP. After negative binomial-logit hurdle regression analysis, we find that (1) perceived importance is a positive predictor of WTP; (2) driving mileage and driving experience impact WTP for most of the involved CVIW applications; (3) gender is not a significant factor on WTP. Our results can provide practical insights into predicting CVIW applications deployment and valuing them.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 22-35"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140002733","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}
{"title":"Who does new trips and why?: An analysis toward the modeling of induced demand","authors":"Vasiliki Kalliga , Santhanakrishnan Narayanan , Constantinos Antoniou","doi":"10.1080/19427867.2024.2333647","DOIUrl":"10.1080/19427867.2024.2333647","url":null,"abstract":"<div><div>Improvements in infrastructure capacity and travel conditions including the introduction of a new transport mode can induce changes in traffic. Although this can occur through a variety of behavioral mechanisms, in this study, the main focus is on the increase of individual mobility rates – namely induced trips. A three-step methodological framework is proposed to identify and model-induced trips, along with the development of discrete choice models, which is the first step of the framework and acts as its foundation. Multinomial logit (MNL) and nested logit (NL) models are estimated, with trip frequencies as the dependent variable. Factors such as age, household type, household car ownership, the number of children and trip reason are found to be influential on the decision of making new trips. Results also suggest that shared mobility significantly paves way to new trips. The contributions from this study can support in understanding the reasons behind the generation of new trips and devise pertinent policies.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 1","pages":"Pages 135-143"},"PeriodicalIF":3.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140300681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Irtiza Rafid Khan , Kirti Mahajan , Vishal C. Kummetha , Steven D. Schrock , Alexandra Kondyli
{"title":"Effectiveness of unconventional anti-texting messages displayed on dynamic message signs","authors":"Irtiza Rafid Khan , Kirti Mahajan , Vishal C. Kummetha , Steven D. Schrock , Alexandra Kondyli","doi":"10.1080/19427867.2024.2313291","DOIUrl":"10.1080/19427867.2024.2313291","url":null,"abstract":"<div><div>Dynamic message signs (DMS) are widely adopted to display traffic and safety information. This study investigated the effectiveness of behavioral safety messages, including 10 unconventional anti-texting messages used on DMS. Feedback on the usability and effectiveness of various messages was collected from 120 drivers in an online survey. The influence of ten unconventional anti-texting DMS messages on driver performance was observed using driving simulator experiments with sixty participants. 89% of the respondents reported reading the signs, while 85% thought about the relevance of displayed messages. During the simulator experiment, drivers responded to a significantly lesser number of text messages after observing the anti-texting DMS messages, compared to the segments without any DMS. Both self-perceived opinions and driver performance metrics indicated a positive influence of displaying safety messages on DMS. Group comparisons across age and gender showed that some messages were more effective than others among specific driver groups.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1378-1388"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139756101","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}
Xinmei Chen , Chen Dong , Siyu Tao , Qiyuan Peng , Jie Liu
{"title":"Integrated Transit-Oriented Development (TOD) with suburban rail network design problem for maximizing profits","authors":"Xinmei Chen , Chen Dong , Siyu Tao , Qiyuan Peng , Jie Liu","doi":"10.1080/19427867.2024.2304999","DOIUrl":"10.1080/19427867.2024.2304999","url":null,"abstract":"<div><div>Driven by the transit-oriented development (TOD) policy for rail stations, this study focuses on the network design of rapid suburban railways and the TOD zone design of corresponding suburban rail stations within metropolitan areas. A multi-level rail transit network was introduced, and the newly planned suburban rail network was considered as an expansion of the existing network to provide rapid services between urban and suburban areas. An integrated programming model was proposed to determine the physical and service routes of suburban rail network, the frequencies of each line, and the TOD plan along the selected rail stations. The integrated model is solved using the Adaptive Large Neighborhood Search (ALNS) algorithm. The effectiveness of the proposed model and methods is illustrated through numerical experiments, and several scenarios are designed for parameter analysis.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1318-1337"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139560080","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}
{"title":"Qualitatively and quantitatively explore injury severity of light motor vehicle drivers involved in heavy goods vehicle crashes","authors":"Fulu Wei , Peixiang Xu , Yongqing Guo , Zhenyu Wang","doi":"10.1080/19427867.2024.2306009","DOIUrl":"10.1080/19427867.2024.2306009","url":null,"abstract":"<div><div>Crashes involving heavy goods trucks (HGVs) are of significant concern as it poses a higher risk of fatality to light motor vehicles (LMVs). The study constructs three Deep Forest models with different Cascade structures to explore the relationship between HGV-LMV crash severity and risk factors. Based on the HGV-LMV crash data in Shandong province, China, motorcycles, electric vehicles, and sedans are defined as the LMV. According to the comparison results, the Deep Forest with Cascade LightGBM is significantly better. Through model interpretability tools, the study found that motorcycle and electric vehicle drivers aged 58 to 86, and LMV drivers with 1 to 3 years of driving experience are more likely suffering severity and fatal injury (SFI) in HGV-LMV crashes. And, disobey traffic sign, illegal turning, overtaking, changing lane, and crashes happened on non-motorway, national and provincial roads have an positive effect on SFI. </div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1353-1365"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139979650","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}
Qingchao Liu , Ruohan Yu , Yingfeng Cai , Long Chen
{"title":"Studying the predictability of crash risk caused by manual takeover of autonomous vehicles in mixed traffic flow","authors":"Qingchao Liu , Ruohan Yu , Yingfeng Cai , Long Chen","doi":"10.1080/19427867.2023.2279807","DOIUrl":"10.1080/19427867.2023.2279807","url":null,"abstract":"<div><div>This study explores how to reduce the cost of prediction as much as possible while ensuring the prediction accuracy of a real-time crash risk model. The extreme gradient enhancement (XGBoost) algorithm was used to predict the crash risk of autonomous vehicles in different sections of highway. The results show that the prediction performance of the model is the best when the threshold value is 0.05. Choosing two variables to predict can ensure high accuracy and simultaneously reduce the cost of prediction when the accuracy of crash risk prediction of the three sections can reach 73%, 62%, and 70%. However, when only one variable can be selected due to sensor or system failure, the speed difference between the takeover car and the front car can be chosen to achieve the greatest benefit. These findings could provide a reference for technicians to design safer and more economical autonomous vehicles.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1205-1223"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134953820","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}
{"title":"GNN-based passenger request prediction","authors":"Aqsa Ashraf Makhdomi , Iqra Altaf Gillani","doi":"10.1080/19427867.2023.2283949","DOIUrl":"10.1080/19427867.2023.2283949","url":null,"abstract":"<div><div>Passenger request prediction is essential for operations planning, control, and management in ride-hailing platforms. While the demand prediction problem has been studied extensively, the Origin-Destination (OD) flow prediction of passengers has received less attention from the research community. This paper develops a Graph Neural Network (GNN) framework along with the Attention Mechanism to predict the OD flow of passengers. The proposed framework exploits various linear and non-linear dependencies that arise among requests originating from different locations and captures the repetition pattern and the contextual data of that place. Moreover, the optimal size of the grid cell that covers the road network and preserves the complexity and accuracy of the model is determined. Extensive simulations are conducted to examine the characteristics of our proposed approach and its various components. The results show the superior performance of our proposed model compared to the existing baselines.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1237-1251"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138575513","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}
{"title":"Exploring differences in injury severity between occupant groups involved in fatal rear-end crashes: a correlated random parameter logit model with mean heterogeneity","authors":"Renteng Yuan , Xin Gu , Zhipeng Peng , Qiaojun Xiang","doi":"10.1080/19427867.2023.2292859","DOIUrl":"10.1080/19427867.2023.2292859","url":null,"abstract":"<div><div>Rear-end crashes are one of the most common crash types. Passenger cars involved in rear-end crashes frequently produce severe outcomes. However, no study investigated the differences in the injury severity of occupant groups when cars are involved as following and leading vehicles in rear-end crashes. Therefore, the focus of this investigation is to compare the key factors affecting the injury severity between the front- and rear-car occupant groups in rear-end crashes. First, data is extracted from the Fatality Analysis Reporting System (FARS) for two types of rear-end crashes, including passenger cars as rear-end and rear-ended vehicles. Significant injury severity difference between front- and rear-car occupant groups is found by conducting likelihood ratio test. Moreover, the front- and rear-car occupant groups are modeled by the correlated random parameter logit model with heterogeneity in means (CRPLHM) and the random parameter logit model with heterogeneity in means (RPLHM), respectively. This study provides an insightful knowledge of mechanism of occupant injury severity in rear-end crashes.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1276-1286"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138632264","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}
Md Mintu Miah , Kate Kyung Hyun , Stephen P Mattingly
{"title":"A review of bike volume prediction studies","authors":"Md Mintu Miah , Kate Kyung Hyun , Stephen P Mattingly","doi":"10.1080/19427867.2024.2310831","DOIUrl":"10.1080/19427867.2024.2310831","url":null,"abstract":"<div><div>No previous research provided a comprehensive review of the bicycle volume estimation techniques assessing the current research gaps in data and modeling makes it challenging to understand the most effective and accurate strategies to estimate bicycle volumes. This article provides a detailed review of 58 studies published from 1996 to 2021. The review results indicate that conventional modeling approaches such as Linear regression, Negative Binomial, Poisson regressions, and a factor-up method represent the most popular econometric statistical models for bicycle volume estimation, while a decision tree is popular among machine-learning-based techniques due to its simplicity and ease of application, interpretation, and estimation with small data sets. In addition, Strava data, Socio-demographic variables, and bicycle facilities significantly contribute to the predictions. The study documents the current research gaps and recommends future research directions to improve data source evaluations, variable creations, modeling, and scalability/transferability advancements.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1406-1433"},"PeriodicalIF":3.3,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139755916","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}