Lengths of Double or Dual Left-Turn Lanes

Author:

Kikuchi Shinya1,Kii Masanobu2,Chakroborty Partha3

Affiliation:

1. University of Delaware, Newark, DE 19716-3120

2. Japan Automobile Research Institute, 2530 Karima, Tsukuba, Ibaraki 305-0822 Japan

3. India Institute of Technology, Kanpur, 208 016, India

Abstract

Double (or dual) left-turn lanes (DLTLs) are a relatively new geometric feature, and the literature on their design parameters is limited. The effectiveness of the DLTL in improving the operation of an intersection depends on several design parameters; among them, the most critical is the length of the DLTL. A procedure for determining the length of the DLTL was developed. First, the procedure surveys how drivers choose a lane of the DLTL in the real world and analyzes the relationship between lane use and the volume of left-turn vehicles. Second, the procedure formulates the probability that all arriving left-turn vehicles during the red phase can enter the left-turn lanes; this means no overflow of left-turn vehicles from the DLTL and no blockage of the entrance of the DLTL by the queue of through vehicles. This probability is presented as a function of the length of the DLTL and the arrival rates of left-turn and through vehicles. The adequate lane length is derived such that the probability of the vehicles entering the DLTL is greater than a threshold value. Third, the adequate length is expressed in number of vehicles; later, this value is converted to the actual distance required on the basis of the vehicle mix and preference between the two lanes. Recommended lengths are presented as a function of left-turn and through volumes for practical application. The proposed approach is unique in that it avoids lane overflow and blockage of lane entrance.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Left-turn queue spillback identification based on single-section license plate recognition data;Transportmetrica B: Transport Dynamics;2024-06-11

2. Safety Evaluation of Dual Left-Turn Lane Installations in North Carolina;Transportation Research Record: Journal of the Transportation Research Board;2024-04-09

3. The Effect of the Number of Right-Turn and Left-Turn Lanes on the Performance of Undersaturated Signalized Intersections;Journal of Advanced Transportation;2023-02-16

4. Characterizing the dynamics and uncertainty of queues at signalized intersections with left-turn bay;Physica A: Statistical Mechanics and its Applications;2022-08

5. Effect of Through Movement Flow Rate on Left-Turn Lane Utilization at Signalized Intersections;2022 Intermountain Engineering, Technology and Computing (IETC);2022-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3