Modelling Uncertainties for Automated and Connected Vehicles in Mixed Traffic

Author:

Sun Yuchao1,Cummins Liam1,Ji Yan1,Stemler Thomas1,Pritchard Nicholas1

Affiliation:

1. The University of Western Australia

Abstract

Abstract The disruptive nature of automated and connected vehicles (AVs and CAVs) poses increasing risks to infrastructure planning. Predicting their exact impact is impossible because of many unknowns. We address these uncertainties by establishing the upper and lower bounds of performance. An optimisation algorithm was used to guide the simulations so the bounds can be found within a reasonable timeframe. Three AV/CAV models, each given a wider range of parameters than human-driven vehicles (HDVs), were mixed with HDVs in microsimulations. Results show improvements to traffic operations, more so to the freeways than arterial roads, with CAVs offering the most improvement. Our demand sensitivity analysis also estimates the extra demand they can accommodate while maintaining the current delay time.

Publisher

Research Square Platform LLC

Reference30 articles.

1. Ackley, D.H.: A Connectionist Machine for Genetic Hillclimbing. Springer New York, NY, Boston, MA (1987)

2. The impact of cooperative adaptive cruise control on traffic-flow characteristics;Arem B;IEEE Trans. Intell. Transp. Syst.,2006

3. Achievement of Sustained Net Plasma Heating in a Fusion Experiment with the Optometrist Algorithm;Baltz EA;Sci. Rep.,2017

4. Cha, J.: Hyundai Motor Group Develops World’s First Machine Learning based Smart Cruise Control (SCC-ML) Technology - Hyundai Newsroom, https://www.hyundainews.com/en-us/releases/2887

5. Simulating the effectiveness of wave dissipation by FollowerStopper autonomous vehicles;Cummins L;Transp. Res. Part. C Emerg. Technol.,2021

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