Transportation Letters-The International Journal of Transportation Research最新文献_第6页

A capacity model of signalized intersection with dedicated lanes for automated vehicles 自动驾驶车辆专用车道信号交叉口通行能力模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-08-08 DOI: 10.1080/19427867.2023.2236852

{"title":"A capacity model of signalized intersection with dedicated lanes for automated vehicles","authors":"","doi":"10.1080/19427867.2023.2236852","DOIUrl":"10.1080/19427867.2023.2236852","url":null,"abstract":"<div><p>This paper proposes a capacity model to address the impact of automated dedicated lanes on the capacity of the signalized intersection. Firstly, the car-following modes in the mixed traffic flow are analyzed, and the influence of the setting of the automated dedicated lanes on the average headway is discussed. Secondly, a new capacity model with automated dedicated lanes is derived based on the classic capacity model. Then, a signalized intersection capacity model considering the automated dedicated lanes is further derived based on the saturation flow rate method. Finally, numerical simulation experiments are designed to discuss the key parameters on the traffic capacity of a signalized intersection. The results show that (i) the automated dedicated lanes are conducive to improving the traffic capacity; (ii) when the penetration rate of CAVs is less than 52%, the traffic capacity of the signalized intersection can be increased by nearly 1.25 times with the automated dedicated lanes. These findings can provide theoretical support for designing and optimizing signalized intersections in high levels (i.e. L3-L5) CAVs environments.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 7","pages":"Pages 725-737"},"PeriodicalIF":3.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44502158","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

Mathematical program with equilibrium constraints approach with genetic algorithm for joint optimization of charging station location and discrete transport network design 基于遗传算法的平衡约束数学规划充电站选址与离散交通网络设计联合优化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2024-08-08 DOI: 10.1080/19427867.2023.2237740

{"title":"Mathematical program with equilibrium constraints approach with genetic algorithm for joint optimization of charging station location and discrete transport network design","authors":"","doi":"10.1080/19427867.2023.2237740","DOIUrl":"10.1080/19427867.2023.2237740","url":null,"abstract":"<div><p>This paper focuses on the joint optimization of the charging station location problem (CSLP) and discrete network design problem (DNDP) in a transportation network. We present a variational inequality (VI) formulation to describe the user equilibrium (UE) state of gasoline vehicles (GVs) and electric vehicles (EVs). Based on the mixed-UE model, a mathematical program with equilibrium constraints (MPEC) model is formulated for integrating the decisions of deploying EV charging stations (EVCSs) and adding new links to minimize the total travel cost (TTC) of all vehicles. A modified genetic algorithm is developed to tackle the MPEC model with an adaptive path generation procedure to address the mixed-UE model. Finally, we conduct numerical experiments to identify the efficacy of the proposed models and algorithms. Specifically, we propose a two-step optimization model and explore a performance comparison between the joint and two-step optimization approaches, while the joint optimization exhibits superiority in minimizing the TTC.</p></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 7","pages":"Pages 776-792"},"PeriodicalIF":3.3,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42969317","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

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

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

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

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":"16 7","pages":"Pages 629-648"},"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

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 , Amir Davatgari , Ehsan Rahimi , Motahare Mohammadi , Abolfazl (Kouros) Mohammadian , 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":"16 6","pages":"Pages 581-598"},"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

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

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 , 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":"16 6","pages":"Pages 612-627"},"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