Implementation and Evaluation of a Traffic Light Assistance System Based on V2I Communication in a Simulation Framework

Author:

Olaverri-Monreal Cristina1ORCID,Errea-Moreno Javier2ORCID,Díaz-Álvarez Alberto3

Affiliation:

1. Department of Information Engineering and Security, University of Applied Sciences Technikum Wien, Vienna, Austria

2. Department of Electrical and Electronic Engineering, Universidad Pública de Navarra, Pamplona, Navarra, Spain

3. Universidad Politécnica de Madrid, Instituto Universitario de Investigación del Automóvil (INSIA), Madrid, Spain

Abstract

Cooperative Intelligent Transportation Systems (C-ITS) make the exchange of information possible through cooperative systems that broadcast traffic data to enhance road safety. Traffic light assistance (TLA) systems in particular utilize real-time traffic light timing data by accessing the information directly from the traffic management center. To test the reliability of a TLA system based on networked intervehicular interaction with infrastructure, we present in this paper an approach to perform theoretical studies in a lab-controlled scenario. The proposed system retrieves the traffic light timing program within a range in order to calculate the optimal speed while approaching an intersection and shows a recommended velocity based on the vehicle’s current acceleration and speed, phase state of the traffic light, and remaining phase duration. Results show an increase in driving efficiency in the form of improvement of traffic flow, reduced gas emissions, and waiting time at traffic lights after the drivers adjusted their velocity to the speed calculated by the system.

Funder

KiTSmart Project City of Vienna Competence Team for Intelligent Technologies in Smart Cities

Publisher

Hindawi Limited

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Cited by 20 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. Cloudy with a Chance of Green: Measuring the Predictability of 18,009 Traffic Lights in Hamburg;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Policy Challenges for Coordinated Delivery of Trucks and Drones;Journal of the Air Transport Research Society;2024-06

3. Implementation on Traffic Light Controller Using ARTIX-7 FPGA Board;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

4. Solutions for Creating Virtual Tracks for Autonomous Vehicles, Based on Vehicle-to-Infrastructure Technology;2023 30th International Conference on Mixed Design of Integrated Circuits and System (MIXDES);2023-06-29

5. A lane-changing behaviour algorithm for connected and autonomous vehicles to facilitate emergency vehicle movements on urban arterials in microsimulation;Journal of Simulation;2023-02-20

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