{"title":"评估自动驾驶车辆在混合车道和管理车道交通环境中的高速公路出口距离","authors":"Jana McLean Sarran, Yasser Hassan","doi":"10.1139/cjce-2023-0396","DOIUrl":null,"url":null,"abstract":"Vehicles planning to exit at an upcoming freeway off-ramp require adequate exit distance to execute lane change maneuvers, otherwise, traffic disturbances may be experienced. This research assesses the changes in exit distances for a mixed traffic environment comprising automated vehicles (AVs) and human-driven vehicles (HDVs) on freeways with and without a managed lane (ML). A left-side continuous ML was designed, and eligible vehicles were AVs. Traffic microsimulation exercises were conducted on a 3.5-km freeway segment, and scenarios varied based on traffic demand, the number of freeway lanes, and AV adoption rates. Traffic demand was set relative to the queue discharge flow rate (qQ). The results indicated an increase in qQ as the AV adoption rate increased. Also, the exit distances were influenced by the traffic environment, the freeway configuration, and the traffic demand. The optimal exit distance increased when a ML was implemented at 25% and 50% AV adoption rates.","PeriodicalId":9414,"journal":{"name":"Canadian Journal of Civil Engineering","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of Automated Vehicles’ Freeway Exit Distances in Mixed and Managed Lane Traffic Environments\",\"authors\":\"Jana McLean Sarran, Yasser Hassan\",\"doi\":\"10.1139/cjce-2023-0396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vehicles planning to exit at an upcoming freeway off-ramp require adequate exit distance to execute lane change maneuvers, otherwise, traffic disturbances may be experienced. This research assesses the changes in exit distances for a mixed traffic environment comprising automated vehicles (AVs) and human-driven vehicles (HDVs) on freeways with and without a managed lane (ML). A left-side continuous ML was designed, and eligible vehicles were AVs. Traffic microsimulation exercises were conducted on a 3.5-km freeway segment, and scenarios varied based on traffic demand, the number of freeway lanes, and AV adoption rates. Traffic demand was set relative to the queue discharge flow rate (qQ). The results indicated an increase in qQ as the AV adoption rate increased. Also, the exit distances were influenced by the traffic environment, the freeway configuration, and the traffic demand. The optimal exit distance increased when a ML was implemented at 25% and 50% AV adoption rates.\",\"PeriodicalId\":9414,\"journal\":{\"name\":\"Canadian Journal of Civil Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Journal of Civil Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1139/cjce-2023-0396\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Civil Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1139/cjce-2023-0396","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
摘要
计划从即将到来的高速公路下匝道驶出的车辆需要足够的驶出距离来执行变道操作,否则可能会造成交通干扰。本研究评估了在有管理车道(ML)和无管理车道(ML)的高速公路上,由自动驾驶车辆(AV)和人工驾驶车辆(HDV)组成的混合交通环境中出口距离的变化。设计了左侧连续多车道,符合条件的车辆为自动驾驶汽车。在 3.5 公里长的高速公路路段上进行了交通微观模拟演练,并根据交通需求、高速公路车道数和 AV 采用率对情景进行了调整。交通需求是根据队列排放流量(qQ)设定的。结果表明,随着自动驾驶汽车采用率的增加,qQ 也在增加。此外,出口距离也受到交通环境、高速公路配置和交通需求的影响。当自动驾驶汽车采用率为 25% 和 50% 时,实施多路复用时,最佳出口距离会增加。
Assessment of Automated Vehicles’ Freeway Exit Distances in Mixed and Managed Lane Traffic Environments
Vehicles planning to exit at an upcoming freeway off-ramp require adequate exit distance to execute lane change maneuvers, otherwise, traffic disturbances may be experienced. This research assesses the changes in exit distances for a mixed traffic environment comprising automated vehicles (AVs) and human-driven vehicles (HDVs) on freeways with and without a managed lane (ML). A left-side continuous ML was designed, and eligible vehicles were AVs. Traffic microsimulation exercises were conducted on a 3.5-km freeway segment, and scenarios varied based on traffic demand, the number of freeway lanes, and AV adoption rates. Traffic demand was set relative to the queue discharge flow rate (qQ). The results indicated an increase in qQ as the AV adoption rate increased. Also, the exit distances were influenced by the traffic environment, the freeway configuration, and the traffic demand. The optimal exit distance increased when a ML was implemented at 25% and 50% AV adoption rates.
期刊介绍:
The Canadian Journal of Civil Engineering is the official journal of the Canadian Society for Civil Engineering. It contains articles on environmental engineering, hydrotechnical engineering, structural engineering, construction engineering, engineering mechanics, engineering materials, and history of civil engineering. Contributors include recognized researchers and practitioners in industry, government, and academia. New developments in engineering design and construction are also featured.