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Hazard-based overtaking duration model for mixed traffic 基于危险的混合交通超车时间模型
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-08-08 DOI: 10.1080/19427867.2023.2236409
{"title":"Hazard-based overtaking duration model for mixed traffic","authors":"","doi":"10.1080/19427867.2023.2236409","DOIUrl":"10.1080/19427867.2023.2236409","url":null,"abstract":"<div><p>Overtaking time in two-lane undivided rural highways is vital for traffic safety and operations. This study used the hazard-based duration models to investigate the 117 accelerative overtaking maneuvers along a 44-km-long National Highway 61 in India. The data were collected for 28 drivers using an instrumented passenger car (PC) overtaking different vehicle classes such as motorized three-wheeler (M3W), PC, light commercial vehicle (LCV), and heavy vehicle (HV). The log-logistic distribution better represented the model for all overtaken vehicle classes. The survival and hazard function plots were developed for each vehicle class, and the observed inflection points were compared. The likelihood of overtaking was maximum at 9.2, 10.2, 9.6, and 11.8 sec for M3W, LCV, PC, and HV, respectively. The observed results can help evaluate overtaking opportunities based on overtaken vehicle class, better estimation of percentage time spent following for the level of service evaluation of two-lane undivided highways with mixed traffic streams.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47002063","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
Using system dynamics to understand long-term impact of new mobility services and sustainable mobility policies: an analysis pre- and post-COVID-19 pandemic in Rio de Janeiro, Brazil 利用系统动力学来理解新的交通服务和可持续交通政策的长期影响：对巴西里约热内卢第 19 届 COVID 大流行前后的分析
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-08-08 DOI: 10.1080/19427867.2023.2237276
{"title":"Using system dynamics to understand long-term impact of new mobility services and sustainable mobility policies: an analysis pre- and post-COVID-19 pandemic in Rio de Janeiro, Brazil","authors":"","doi":"10.1080/19427867.2023.2237276","DOIUrl":"10.1080/19427867.2023.2237276","url":null,"abstract":"<div><p>Sustainable transport policies are fundamental to adapt transport capacity to existing and future travel demand. In this context, this study aims to develop a System Dynamics (SD), to verify the effects of these policies, focusing on congestion and air pollution. Combined with the SD, the discrete choice utility approach was used to predict the modal share in different policy spaces. In addition, it is carried out a case study in Rio de Janeiro in two realities: pre- and post-pandemic. The results show how mitigation policies can reduce transport externalities (congestion and pollution). The encouragement of high-capacity public transport and car ownership control are the best measures, obtaining high simulation scores. The post-pandemic scenario shows that reducing travel demand is the key to achieving better results. All scores obtained in this scenario are better than in pre-pandemic scenario. Finally, results point out that ride-hailing should be used in a conscious way.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60324586","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 dynamic self-improving ramp metering algorithm based on multi-agent deep reinforcement learning 基于多智能体深度强化学习的动态自改进坡道计量算法
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-08-08 DOI: 10.1080/19427867.2023.2231638
{"title":"A dynamic self-improving ramp metering algorithm based on multi-agent deep reinforcement learning","authors":"","doi":"10.1080/19427867.2023.2231638","DOIUrl":"10.1080/19427867.2023.2231638","url":null,"abstract":"<div><p>We present a novel ramp metering algorithm that incorporates multi-agent deep reinforcement learning (DRL) techniques, which utilizes monitoring data from loop detectors. Our proposed approach employed a multi-agent DRL framework to generate optimized ramp metering schedules for each ramp meter in real-time, enhancing the operational efficiency of urban freeways with less investment. To simplify the implementation and training of the algorithm, we developed a simulation platform based on SUMO microscopic traffic simulator. We conducted a series of simulation experiments, including local and coordinated ramp metering scenarios with various traffic demands profiles. The simulation results indicate that the proposed DRL-based algorithm outperforms the state-of-the-practice ramp metering methods, considering a comprehensive evaluation index encompassing mainstream speed at the bottleneck and queue length on ramp. Additionally, the method exhibits robustness, scalability, and the potential for further improvement through online learning during implementation.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44543515","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
Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions 基于多车预期的驾驶员行为模型:现有研究与未来研究方向的综合
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-08-08 DOI: 10.1080/19427867.2023.2231212
{"title":"Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions","authors":"","doi":"10.1080/19427867.2023.2231212","DOIUrl":"10.1080/19427867.2023.2231212","url":null,"abstract":"<div><p>Multi-vehicle anticipation (MVA) refers to drivers’ ability to consider stimuli from several vehicles ahead in their maneuvering decisions, such as longitudinal, lateral, and a combination of longitudinal and lateral movements. This paper provides a comprehensive review of MVA-based driver behavior models developed for both homogeneous and heterogeneous disordered (HD) traffic streams. Studies on MVA identify various advantages of incorporating MVA in driver behavior models, such as superior numerical and behavioral soundness, plausible parameter estimates, and model outputs, and improved model realism. In addition, our findings indicate that MVA-based driver behavior models follow a similar pattern of extending the established single-leader car-following models, considering vehicles that are directly ahead (in the same lane), and focussing on a fixed number of vehicles ahead. For HD traffic streams, drivers’ also consider stimuli from vehicles obliquely placed or on either side. Furthermore, this review discusses issues with the current modeling approaches and suggests future research directions</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46180065","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
Multimodality incentivized by employer-based travel demand management 基于雇主的旅行需求管理激励的多模式
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-07-02 DOI: 10.1080/19427867.2023.2207275
Peng Chen
{"title":"Multimodality incentivized by employer-based travel demand management","authors":"Peng Chen","doi":"10.1080/19427867.2023.2207275","DOIUrl":"10.1080/19427867.2023.2207275","url":null,"abstract":"<div><p>This study explored the effectiveness of various employer-based travel demand management strategies in promoting multimodality and mode substitution among employees in Washington state using a mixed multinomial logit model. The study found that employee transportation coordinators played an important role in encouraging the use of sustainable travel modes. Spatial analysis revealed that individuals who lived and worked in proximity were more likely to adopt multimodal transportation. The study also highlighted the convenience of driving alone and the lack of information on sustainable alternatives as two major barriers to the adoption of sustainable transportation modes and recommended educational campaigns to increase awareness. To inform practice, this study identified transit subsidies, parking pricing, and work schedule flexibility as the most effective TDM strategies to promote multimodality and mode substitution, followed by compressed workweeks, and providing easy access to transit and amenities.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45865244","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
Coupling shared E-scooters and public transit: a spatial and temporal analysis 共享电动滑板车与公共交通的耦合：时空分析
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-07-02 DOI: 10.1080/19427867.2023.2227447
Mohammadjavad Javadiansr , Amir Davatgari , Ehsan Rahimi , Motahare Mohammadi , Abolfazl (Kouros) Mohammadian , Joshua Auld
{"title":"Coupling shared E-scooters and public transit: a spatial and temporal analysis","authors":"Mohammadjavad Javadiansr ,&nbsp;Amir Davatgari ,&nbsp;Ehsan Rahimi ,&nbsp;Motahare Mohammadi ,&nbsp;Abolfazl (Kouros) Mohammadian ,&nbsp;Joshua Auld","doi":"10.1080/19427867.2023.2227447","DOIUrl":"10.1080/19427867.2023.2227447","url":null,"abstract":"<div><p>The integration of shared e-scooters with public transit is a promising solution for urban mobility's first/last-mile challenge. This study explores spatiotemporal factors influencing this integration, using 35-day e-scooter trip data from Chicago. Employing a random-effect negative binomial approach, we modeled the frequency of e-scooter trips to access/egress to/from bus stops and train stations. Results indicate that weather conditions, design features like intersection density, and multimodal network density significantly influence usage. The transit system characteristics such as service frequency have a positive effect on the integration of e-scooters and trains while a similar effect for bus and e-scooter integration was not significant. Furthermore, safety-related variables such as accident and crime rates as well as demographic characteristics were also revealed to be significant factors in our study. These findings offer vital insights to urban planners and policymakers for infrastructure, safety enhancements, and interventions to encourage efficient e-scooter-public transit integration.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49525143","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 COVID-19 on driver injury severities in freeway single-vehicle crashes accounting for unobserved heterogeneity 探索COVID-19对高速公路单车碰撞中驾驶员伤害严重程度的影响，考虑未观察到的异质性
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-07-02 DOI: 10.1080/19427867.2023.2229564
Mouyid Islam , Robert Bertini
{"title":"Exploring the effect of COVID-19 on driver injury severities in freeway single-vehicle crashes accounting for unobserved heterogeneity","authors":"Mouyid Islam ,&nbsp;Robert Bertini","doi":"10.1080/19427867.2023.2229564","DOIUrl":"10.1080/19427867.2023.2229564","url":null,"abstract":"<div><p>The COVID-19 pandemic, characterized by travel restrictions and reduced traffic volumes, heightened the risk of severe single-vehicle crashes on Florida's freeways. This study utilized random parameter multinomial logit models, accounting for heterogeneity in means and variances, to analyze driver injury severities in 2020 and compare variations in the magnitude of factors contributed to these injuries across different freeway systems. The estimated models identified 31 statistically significant variables across Florida's major freeways (I-4, I-10, I-75, and I-95). Among these variables, only two—normal driving and restraint usage—were statistically significant across all four freeway systems. Moreover, the model results indicated that factors contributing to severe driver injuries were most prominent on I-95 compared to the other freeways in 2020. These findings improve our understanding of freeway safety measures during a pandemic and provide valuable insights to enhance traffic management strategies for state highway agencies, prioritizing operational safety in potential future pandemics.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46364271","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
Traffic congestion forecasting using multilayered deep neural network 基于多层深度神经网络的交通拥堵预测
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-07-02 DOI: 10.1080/19427867.2023.2207278
Kranti Kumar , Manoj Kumar , Pritikana Das
{"title":"Traffic congestion forecasting using multilayered deep neural network","authors":"Kranti Kumar ,&nbsp;Manoj Kumar ,&nbsp;Pritikana Das","doi":"10.1080/19427867.2023.2207278","DOIUrl":"10.1080/19427867.2023.2207278","url":null,"abstract":"<div><p>This study proposes a multilayered deep neural network (MLDNN) and a congestion index (CI) based on traffic density factor to forecast traffic congestion directly. Data were collected in Delhi city from a selected location using video cameras during peak hours of weekdays from Monday to Sunday to test the proposed model. Collected data were categorized in a matrix format in the intervals of five-minutes. The input matrix was divided into a number of intervals to train, validate, and test the MLDNN and baseline models, including support vector regression, multi-layer perceptron neural network, gated recurrent unit (GRU) neural network, long short-term memory (LSTM) neural network, convolutional neural network (CNN), CNN-GRU neural network, and CNN-LSTM neural network. Results of the study show that the MLDNN and proposed CI can be applied to predict traffic congestion successfully in heterogeneous traffic.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47104648","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 residential location search model based on the reasons for moving out 基于迁出原因的住宅位置搜索模型
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-07-02 DOI: 10.1080/19427867.2023.2222990
Muntahith Mehadil Orvin , Mahmudur Rahman Fatmi
{"title":"A residential location search model based on the reasons for moving out","authors":"Muntahith Mehadil Orvin ,&nbsp;Mahmudur Rahman Fatmi","doi":"10.1080/19427867.2023.2222990","DOIUrl":"10.1080/19427867.2023.2222990","url":null,"abstract":"<div><p>Modeling spatial search processes such as residential location search are challenging, particularly, due to the need to deal with a large dataset and wide array of factors. This introduces a multi-dimensionality challenge to location search modeling. With the motivation to accommodate multi-dimensionality, this paper develops a machine learning–based Gaussian mixture model (GMM) for location search. This study accommodates the effects of several factors including accessibility, land use, dwelling, transportation infrastructure, and neighborhood attributes on location search decisions. The spatial unit of analysis is dwelling-level. This study conceptualizes that households’ search for location based on their reason to move. The pool of alternatives for each household is generated based on probability estimates of GMM. The location choice model considering the reason-based GMM outperforms the model without considering relocation reasons in GMM and random sampling-based model in-terms of predictive performance. The search model has been implemented in an integrated urban model.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46940416","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
Roles of attitudinal factors on the adoption stages of carsharing 态度因素在拼车采用阶段中的作用
IF 3.3 3区 工程技术
Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-07-02 DOI: 10.1080/19427867.2023.2213007
Jingcai Yu , Shunchao Wang , Jingfeng Ma , Zhanguo Song , Wenquan Li
{"title":"Roles of attitudinal factors on the adoption stages of carsharing","authors":"Jingcai Yu ,&nbsp;Shunchao Wang ,&nbsp;Jingfeng Ma ,&nbsp;Zhanguo Song ,&nbsp;Wenquan Li","doi":"10.1080/19427867.2023.2213007","DOIUrl":"10.1080/19427867.2023.2213007","url":null,"abstract":"<div><p>This study aims to understand how attitudinal factors influence individuals’ choices for further developing carsharing. To address the gap, a household survey was carried out to obtain the individual’s attitudes toward carsharing. The Transtheoretical Model is used to divide the adoption process of carsharing into five stages, including precontemplation, contemplation, preparation, action, and maintenance. Two Integrated Choice and Latent Variable Models with or without the attitudinal features are evaluated for the effects of latent attitudes on the above five stages. Additionally, the attitudinal factors at each stage are analyzed and compared, and the effects of the flexible and hard measures on the adoption process are discussed. The results indicate that the proposed attitudinal factors well reflect individuals’ adoption stage of carsharing and show different effects on the five adoption stages. The policy implications for facilitating carsharing require coordinating flexible and hard measures in different cognitive stages.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49303112","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
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