Integrated corridor management by cooperative traffic signal and ramp metering control

Author:

Farabi Abdullah Al1,Mohebifard Rasool1,Niroumand Ramin2,Hajbabaie Ali1,Hadi Mohammed3,Elefteriadou Lily4

Affiliation:

1. Department of Civil, Construction, and Environmental Engineering North Carolina State University Raleigh North Carolina USA

2. Department of Built Environment Aalto University Espoo Finland

3. Department of Civil & Environmental Engineering Florida International University Miami Florida USA

4. Department of Civil & Coastal Engineering University of Florida Gainesville Florida USA

Abstract

AbstractThis paper formulates a cooperative traffic control methodology that integrates traffic signal timing and ramp metering decisions into an optimization model to improve traffic operations in a corridor network. A mixed integer linear model is formulated and is solved in real time within a model predictive controller framework, where the cell transmission model is used as the system state predictor. The methodology is benchmarked in a case study corridor in San Mateo, CA, in VISSIM with two optimization scenarios, namely, optimal metering and optimal signal control, and two simulation scenarios with a preset metering plan and no metering. The numerical results show that integrated traffic signal and ramp metering control reduces delays, stops, and travel times of the corridor by up to 33.1%, 36%, and 16.4%, respectively, compared to existing benchmark conditions. With appropriate weights prioritizing freeway or arterial street operations, the integrated control balances traffic congestion between the arterial street and the freeway.

Publisher

Wiley

Reference70 articles.

1. Discrete Spider Monkey Optimization for Travelling Salesman Problem

2. Model predictive control for ramp metering of motorway traffic: A case study

3. Isolated versus coordinated ramp metering: Field evaluation results of travel time reliability and traffic impact

4. Bogenberger K. &May A. D.(1999).Advanced coordinated traffic responsive ramp metering strategies(Report/Paper No. UCB‐ITS‐PWP‐99‐19). UC Berkeley Transportation Library.

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