Journal of Intelligent and Connected Vehicles最新文献_第8页

The verbiage in variable message signs and traffic diversion during crash incidents 车祸期间可变信息标志和交通改道中的措辞

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-06-2022-0022

Sailesh Acharya;Michelle Mekker

{"title":"The verbiage in variable message signs and traffic diversion during crash incidents","authors":"Sailesh Acharya;Michelle Mekker","doi":"10.1108/JICV-06-2022-0022","DOIUrl":"https://doi.org/10.1108/JICV-06-2022-0022","url":null,"abstract":"Purpose - WIth limited research on the effects of variable message sign (VMS) message content and verbiage on revealed driver behavior, this study aims to investigate how different verbiage of crash-related messages are related to the diversion rate. Design/methodology/approach - Using ordered logit models, the associations of message verbiage with diversion rates during crash incidents were assessed using five years of VMS message history within a section of I-15 in the state of Utah. Findings - A significant impact of message verbiage on the diversion rate was observed. Based on the analysis results, the crash message verbiage with the highest diversion was found to be miles to crash 1 \"prepare to stop,\" followed by crash location 1 delay information, miles to crash 1 \"use caution\" 1 lane of the crash, etc. In addition, the diversion rate was found to be correlated to some roadway characteristics (e.g. occupancy in mainline, weather condition and light condition) along with the temporal variations. Research limitations/implications - These findings could be used by transportation agencies (e.g. state department of transportation [DOTs]) to make informed decisions about choosing the message verbiage during future crash incidents. This study also revealed that higher diversion rates are associated with a shorter distance between the crash location and VMS device location, recommending increasing the number of VMS devices, particularly in crash-prone areas.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"5 3","pages":"333-344"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10004521/10004540.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67856074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SOTIF risk mitigation based on unified ODD monitoring for autonomous vehicles 基于统一ODD监控的自动驾驶汽车SOTIF风险缓解

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-04-2022-0015

Wenhao Yu;Jun Li;Li-Ming Peng;Xiong Xiong;Kai Yang;Hong Wang

{"title":"SOTIF risk mitigation based on unified ODD monitoring for autonomous vehicles","authors":"Wenhao Yu;Jun Li;Li-Ming Peng;Xiong Xiong;Kai Yang;Hong Wang","doi":"10.1108/JICV-04-2022-0015","DOIUrl":"https://doi.org/10.1108/JICV-04-2022-0015","url":null,"abstract":"Purpose - The purpose of this paper is to design a unified operational design domain (ODD) monitoring framework for mitigating Safety of the Intended Functionality (SOTIF) risks triggered by vehicles exceeding ODD boundaries in complex traffic scenarios. Design/methodology/approach - A unified model of ODD monitoring is constructed, which consists of three modules: weather condition monitoring for unusual weather conditions, such as rain, snow and fog; vehicle behavior monitoring for abnormal vehicle behavior, such as traffic rule violations; and road condition monitoring for abnormal road conditions, such as road defects, unexpected obstacles and slippery roads. Additionally, the applications of the proposed unified ODD monitoring framework are demonstrated. The practicability and effectiveness of the proposed unified ODD monitoring framework for mitigating SOTIF risk are verified in the applications. Findings - First, the application of weather condition monitoring demonstrates that the autonomous vehicle can make a safe decision based on the performance degradation of Lidar on rainy days using the proposed monitoring framework. Second, the application of vehicle behavior monitoring demonstrates that the autonomous vehicle can properly adhere to traffic rules using the proposed monitoring framework. Third, the application of road condition monitoring demonstrates that the proposed unified ODD monitoring framework enables the ego vehicle to successfully monitor and avoid road defects. Originality/value - The value of this paper is that the proposed unified ODD monitoring framework establishes a new foundation for monitoring and mitigating SOTIF risks in complex traffic environments.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"5 3","pages":"157-166"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10004521/10004525.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67856917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Multimodal critical-scenarios search method for test of autonomous vehicles 自动驾驶汽车测试的多模式关键场景搜索方法

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-04-2022-0016

Tianyue Feng;Lihao Liu;Xingyu Xing;Junyi Chen

{"title":"Multimodal critical-scenarios search method for test of autonomous vehicles","authors":"Tianyue Feng;Lihao Liu;Xingyu Xing;Junyi Chen","doi":"10.1108/JICV-04-2022-0016","DOIUrl":"https://doi.org/10.1108/JICV-04-2022-0016","url":null,"abstract":"Purpose - The purpose of this paper is to search for the critical-scenarios of autonomous vehicles (AVs) quickly and comprehensively, which is essential for verification and validation (V&V). Design/methodology/approach - The author adopted the index F1 to quantitative critical-scenarios' coverage of the search space and proposed the improved particle swarm optimization (IPSO) to enhance exploration ability for higher coverage. Compared with the particle swarm optimization (PSO), there were three improvements. In the initial phase, the Latin hypercube sampling method was introduced for a uniform distribution of particles. In the iteration phase, the neighborhood operator was adapted to explore more modals with the particles divided into groups. In the convergence phase, the convergence judgment and restart strategy were used to explore the search space by avoiding local convergence. Compared with the Monte Carlo method (MC) and PSO, experiments on the artificial function and critical-scenarios search were carried out to verify the efficiency and the application effect of the method. Findings - Results show that IPSO can search for multimodal critical-scenarios comprehensively, with a stricter threshold and fewer samples in the experiment on critical-scenario search, the coverage of IPSO is 14% higher than PSO and 40% higher than MC. Originality/value - The critical-scenarios' coverage of the search space is firstly quantified by the index F1, and the proposed method has higher search efficiency and coverage for the critical-scenarios search of AVs, which shows application potential for V&V.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"5 3","pages":"167-176"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10004521/10004526.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67856916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Investigating safety and liability of autonomous vehicles: Bayesian random parameter ordered probit model analysis 自动驾驶汽车安全责任调查：贝叶斯随机参数有序概率模型分析

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-04-2022-0012

Quan Yuan;Xuecai Xu;Tao Wang;Yuzhi Chen

引用次数: 3

Behavioral adaptation of drivers when driving among automated vehicles 驾驶员在自动驾驶车辆中驾驶时的行为适应

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-07-2022-0031

Maytheewat Aramrattana;Jiali Fu;Selpi

{"title":"Behavioral adaptation of drivers when driving among automated vehicles","authors":"Maytheewat Aramrattana;Jiali Fu;Selpi","doi":"10.1108/JICV-07-2022-0031","DOIUrl":"https://doi.org/10.1108/JICV-07-2022-0031","url":null,"abstract":"Purpose - This paper aims to explore whether drivers would adapt their behavior when they drive among automated vehicles (AVs) compared to driving among manually driven vehicles (MVs). Understanding behavioral adaptation of drivers when they encounter AVs is crucial for assessing impacts of AVs in mixed-traffic situations. Here, mixed-traffic situations refer to situations where AVs share the roads with existing nonautomated vehicles such as conventional MVs. Design/methodology/approach - A driving simulator study is designed to explore whether such behavioral adaptations exist. Two different driving scenarios were explored on a three-lane highway: driving on the main highway and merging from an on-ramp. For this study, 18 research participants were recruited. Findings - Behavioral adaptation can be observed in terms of car-following speed, car-following time gap, number of lane change and overall driving speed. The adaptations are dependent on the driving scenario and whether the surrounding traffic was AVs or MVs. Although significant differences in behavior were found in more than 90% of the research participants, they adapted their behavior differently, and thus, magnitude of the behavioral adaptation remains unclear. Originality/value - The observed behavioral adaptations in this paper were dependent on the driving scenario rather than the time gap between surrounding vehicles. This finding differs from previous studies, which have shown that drivers tend to adapt their behaviors with respect to the surrounding vehicles. Furthermore, the surrounding vehicles in this study are more \"free flow'\" compared to previous studies with a fixed formation such as platoons. Nevertheless, long-term observations are required to further support this claim.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"5 3","pages":"309-315"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10004521/10004538.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67857758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Intersection control with connected and automated vehicles: A review 连接车辆和自动车辆的交叉口控制：综述

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-06-2022-0023

Jiaming Wu;Xiaobo Qu

引用次数: 11

Optimal charging plan for electric bus considering time-of-day electricity tariff 考虑日内电价的电动客车最优充电方案

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-04-2022-0008

Yuhan Liu;Linhong Wang;Ziling Zeng;Yiming Bie

引用次数: 14

Traffic signal coordination control for arteriais with dedicated CAV lanes CAV专用车道的大动脉交通信号协调控制

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-08-2021-0015

Liang Xu;Sheng Jin;Bolin Li;Jiaming Wu

{"title":"Traffic signal coordination control for arteriais with dedicated CAV lanes","authors":"Liang Xu;Sheng Jin;Bolin Li;Jiaming Wu","doi":"10.1108/JICV-08-2021-0015","DOIUrl":"https://doi.org/10.1108/JICV-08-2021-0015","url":null,"abstract":"Purpose - This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping. Design/methodology/approach - The authors developed a signal coordination model for arteries with dedicated CAV lanes by using mixed integer linear programming. CAV non-stop constraints are proposed to adapt to the characteristics of CAVs. As it is a continuous problem, various situations that CAVs arrive at intersections are analyzed. The rules are discovered to simplify the problem by discretization method. Findings - A case study is conducted via SUMO traffic simulation program. The results show that the efficiency of CAVs can be improved significantly both in high-volume scenario and medium-volume scenario with the plan optimized by the model proposed in this paper. At the same time, the progression efficiency of regular vehicles is not affected significantly. It is indicated that full-scale benefits of dedicated CAV lanes can only be achieved with signal coordination plans considering CAV characteristics. Originality/value - To the best of the authors' knowledge, this is the first research that develops a signal coordination model for arteries with dedicated CAV lanes.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"5 2","pages":"72-87"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10004541/10004546.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50225737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Copyright page 版权页

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30

引用次数: 0

Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle 互联和自动驾驶汽车并线行为对主线人类驾驶汽车的影响

Journal of Intelligent and Connected Vehicles Pub Date : 2022-12-30 DOI: 10.1108/JICV-08-2021-0013

Lishengsa Yue;Mohamed Abdel-Aty;Zijin Wang

{"title":"Effects of connected and autonomous vehicle merging behavior on mainline human-driven vehicle","authors":"Lishengsa Yue;Mohamed Abdel-Aty;Zijin Wang","doi":"10.1108/JICV-08-2021-0013","DOIUrl":"https://doi.org/10.1108/JICV-08-2021-0013","url":null,"abstract":"Purpose - This study aims to evaluate the influence of connected and autonomous vehicle (CAV) merging algorithms on the driver behavior of human-driven vehicles on the mainline. Design/methodology/approach - Previous studies designed their merging algorithms mostly based on either the simulation or the restricted field testing, which lacks consideration of realistic driving behaviors in the merging scenario. This study developed a multi-driver simulator system to embed realistic driving behavior in the validation of merging algorithms. Findings - Four types of CAV merging algorithms were evaluated regarding their influences on driving safety and driving comfort of the mainline vehicle platoon. The results revealed significant variation of the algorithm influences. Specifically, the results show that the reference-trajectory-based merging algorithm may outperform the social-psychology-based merging algorithm which only considers the ramp vehicles. Originality/value - To the best of the authors' knowledge, this is the first time to evaluate a CAV control algorithm considering realistic driver interactions rather than by the simulation. To achieve the research purpose, a novel multi-driver driving simulator was developed, which enables multi-drivers to simultaneously interact with each other during a virtual driving test. The results are expected to have practical implications for further improvement of the CAV merging algorithm.","PeriodicalId":100793,"journal":{"name":"Journal of Intelligent and Connected Vehicles","volume":"5 1","pages":"36-45"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9944931/10004514/10004520.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67851799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13