C-V2X网联环境下应急优先的绿灯补偿模型研究

张长隆; 韩发荣; 魏吉敏; 戴金钢; 杨晓东; 瞿仕波

doi:10.11959/j.issn.1000-0801.2024003

您当前的位置：

首页 >

文章列表页 >

C-V2X网联环境下应急优先的绿灯补偿模型研究

研究与开发 | 更新时间：2024-06-05

- C-V2X网联环境下应急优先的绿灯补偿模型研究
- Research on green light compensation model for emergency preemption in C-V2X environment
- 电信科学 2024年40卷第1期页码：59-70
- 作者机构：
- 作者简介：
  
  [ "张长隆（1976- ），男，博士，长沙智能驾驶研究院有限公司车路协同首席科学家，主要研究方向为V2X、车联网、协作式ITS" ]
  [ "韩发荣（1994- ），男，长沙智能驾驶研究院有限公司V2X算法工程师，主要研究方向为V2X车路协同应用设计与开发、智能交通信号控制等" ]
  [ "魏吉敏（1989- ），男，长沙智能驾驶研究院有限公司高级工程师，主要研究方向为传感器标定、多传感器融合、V2X、C-ITS、人工智能等" ]
  [ "戴金钢（1988- ），男，现就职于长沙智能驾驶研究院有限公司，主要研究方向为ADAS、V2X、网联车场景应用、智能交通等" ]
  [ "杨晓东（1994- ），男，长沙智能驾驶研究院有限公司算法工程师，主要研究方向为智能交通、车路协同等" ]
  [ "瞿仕波（1988- ），男，现就职于长沙智能驾驶研究院有限公司，主要研究方向为V2X通信、车联网场景开发、智能交通系统等" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024003
  中图分类号： TP393
- 网络出版日期：2024-01，
  
  纸质出版日期：2024-01-20
- 稿件说明：
移动端阅览
张长隆, 韩发荣, 魏吉敏, 等. C-V2X网联环境下应急优先的绿灯补偿模型研究[J]. 电信科学, 2024,40(1):59-70.

Changlong ZHANG, Farong HAN, Jimin WEI, et al. Research on green light compensation model for emergency preemption in C-V2X environment[J]. Telecommunications science, 2024, 40(1): 59-70.
张长隆, 韩发荣, 魏吉敏, 等. C-V2X网联环境下应急优先的绿灯补偿模型研究[J]. 电信科学, 2024,40(1):59-70. DOI： 10.11959/j.issn.1000-0801.2024003.

Changlong ZHANG, Farong HAN, Jimin WEI, et al. Research on green light compensation model for emergency preemption in C-V2X environment[J]. Telecommunications science, 2024, 40(1): 59-70. DOI： 10.11959/j.issn.1000-0801.2024003.

摘要

针对在路口实施应急车辆优先策略会对非优先相位交通造成影响的问题，在蜂窝车联网（C-V2X）环境下进行了均衡非优先相位通行效益的绿灯补偿模型研究。搭建了相应的算法模型，并对一辆应急车辆的场景进行了模拟。该模型在不影响应急车辆优先通行的前提下，根据非优先相位实时交通需求计算补偿绿灯时间，从而最小化应急优先对非优先相位的车辆通行影响。仿真结果证明，所提模型在不同的饱和度状态下均可有效地降低应急车辆通过后非优先相位车辆的平均延误时间和平均排队长度。所提模型对于应急车辆通过红绿灯路口的策略进行了优化，提高了通行效率。

Abstract

To reduce the impact of the emergency vehicle preemption strategy on vehicles in non-priority phases at intersections

an emergency preemption green light compensation model in C-V2X environment was proposed.The proposed model doesn’t affect the emergency vehicle preemption strategy.The green time of the non-priority phases was calculated according to the real-time traffic demand to minimize the adverse impact on vehicles in non-priority phases.The proposed model was verified with simulation using an emergency vehicle.The results demonstrate that the proposed method can effectively decrease the queue lengths and reduce the average delay in non-priority phases after applying the emergency vehicle preemption strategy.The proposed method can improve traffic efficiency by optimizing the signal timing after the emergency vehicle passes through an intersection.

关键词

Keywords

references

YASMIN S , ANOWAR S , TAY R . Emergency vehicles and traffic safety [J ] . International Encyclopedia of Transportation , 2021 : 247 - 254 .

NGUYEN V L , HWANG R H , LIN P C . Controllable path planning and traffic scheduling for emergency services in the internet of vehicles [J ] . IEEE Transactions on Intelligent Transportation Systems , 2022 , 23 ( 8 ): 12399 - 12413 .

YU W Q , BAI W C , LUAN W J , et al . State-of-the-art review on traffic control strategies for emergency vehicles [J ] . IEEE Access , 2022 ( 10 ): 109729 - 109742 .

CAO M M , LI V O K , SHUAI Q Q . A gain with no pain:exploring intelligent traffic signal control for emergency vehicles [J ] . IEEE Transactions on Intelligent Transportation Systems , 2022 , 23 ( 10 ): 17899 - 17909 .

张立立 , 于沛 , 李晶 , 等 . 交通拥堵情况下应急救援车辆优先通行主动控制方法 [J ] . 实验室研究与探索 , 2022 , 41 ( 5 ): 104 - 107 .

ZHANG L L , YU P , LI J , et al . Research on the active control method of emergency vehicle priority under traffic congestion [J ] . Research and Exploration in Laboratory , 2022 , 41 ( 5 ): 104 - 107 .

KAMBLE S J , KOUNTE M R . A survey on emergency vehicle preemption methods based on routing and scheduling [J ] . International Journal of Computer Networks and Applications , 2022 , 9 ( 1 ): 60 - 71 .

CHEN S Z , HU J L , SHI Y , et al . A vision of C-V2X:technologies,field testing,and challenges with chinese development [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 5 ): 3872 - 3881 .

陈山枝 . 蜂窝车联网（C-V2X）及其赋能智能网联汽车发展的辩思与建议 [J ] . 电信科学 , 2022 , 38 ( 7 ): 1 - 17 .

CHEN S Z . Critical thinking and suggestions on C-V2X with the developments of intelligent connected vehicles [J ] . Telecommunications Science , 2022 , 38 ( 7 ): 1 - 17 .

XIE J , WU J M , YANG R K . On the impact analysis of emergency vehicles preemption on signalized intersections with connected vehicles [M ] . Singapore : Springer Nature Singapore , 2022 : 151 - 160 .

张立立 , 王力 , 刘建东 , 等 . 基于车路协同的城市应急车辆优先控制：概述与展望 [J ] . 科学技术与工程 , 2021 , 21 ( 34 ): 14484 - 14491 .

ZHANG L L , WANG L , LIU J D , et al . Priority control of urban emergency vehicles:overview and prospect [J ] . Science Technology and Engineering , 2021 , 21 ( 34 ): 14484 - 14491 .

SALIH A A , LEWIS A , CHUNG E . Dynamic preemption algorithm to assign priority for emergency vehicle in crossing signalised intersection [J ] . IOP Conference Series:Materials Science and Engineering , 2019 , 518 ( 2 ): 022038 .

ROSAYYAN P , PAUL J , SUBRAMANIAM S , et al . An optimal control strategy for emergency vehicle priority system in smart cities using edge computing and IoT sensors [J ] . Measurement:Sensors , 2023 ( 26 ): 100697 .

LEE W H , CHIU C Y . Design and implementation of a smart traffic signal control system for smart city applications [J ] . Sensors , 2020 , 20 ( 2 ): 508 .

LOUATI A , ELKOSANTINI S , DARMOUL S , et al . Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections [J ] . European Transport Research Review , 2018 , 10 ( 2 ): 52 .

SU H R , ZHONG Y D , CHOW J Y J , et al . EMVLight:a multi-agent reinforcement learning framework for an emergency vehicle decentralized routing and traffic signal control system [J ] . Transportation Research Part C:Emerging Technologies , 2023 ( 146 ): 103955 .

WU J , KULCSÁR B , AHN S , et al . Emergency vehicle lane pre-clearing:from microscopic cooperation to routing decision making [J ] . Transportation Research Part B:Methodological , 2020 ( 141 ): 223 - 239 .

HANNOUN G J , MURRAY-TUITE P , HEASLIP K , et al . Facilitating emergency response vehicles’ movement through a road segment in a connected vehicle environment [J ] . IEEE Transactions on Intelligent Transportation Systems , 2019 , 20 ( 9 ): 3546 - 3557 .

SHIRKE C . Emergency vehicle priority (preemption):concept and advancements [J ] . International Encyclopedia of Transportation , 2021 : 221 - 226 .

ZHONG L , CHEN Y . A novel real-time traffic signal control strategy for emergency vehicles [J ] . IEEE Access , 2022 ( 10 ): 19481 - 19492 .

DAS D , ALTEKAR N V , HEAD K L , et al . Traffic signal priority control strategy for connected emergency vehicles with dilemma zone protection for freight vehicles [J ] . Transportation Research Record:Journal of the Transportation Research Board , 2022 , 2676 ( 1 ): 499 - 517 .

OBRUSNÍK V , HERMAN I , HURÁK Z . Queue discharge-based emergency vehicle traffic signal preemption [J ] . IFAC-Papers OnLine , 2020 , 53 ( 2 ): 14997 - 15002 .

CAO M M , SHUAI Q , LI V O K . Emergency vehicle-centered traffic signal control in intelligent transportation systems [C ] // 2019 IEEE Intelligent Transportation Systems Conference (ITSC) . Piscataway:IEEE Press , 2019 : 4525 - 4531 .

KAPUSTA B , MILETIC M , IVANJKO E , et al . Preemptive traffic light control based on vehicle tracking and queue lengths [C ] // 2017 International Symposium ELMAR . Piscataway:IEEE Press , 2017 : 11 - 16 .

刘震东 . 车联网环境下城市应急车辆优先通行协同控制方法 [D ] . 长春:吉林大学 , 2022 .

LIU Z D . Coordinated control method for city emergency vehicle priority passage in the internet of vehicles environment [D ] . Changchun:Jilin University , 2022 .

MU H B , LIU L Z , SONG Y B , et al . Control strategy of signal transition after emergency vehicle signal preemption [J ] . Discrete Dynamics in Nature and Society , 2020 ( 2020 ): 1 - 11 .

杨帅 . 智能网联环境下应急车辆信号优先策略研究 [D ] . 镇江:江苏大学 , 2022 .

YANG S . Research on signal priority control strategy of emergency vehicle under connected and automated vehicle environment [D ] . Zhenjiang:Jiangsu University , 2022 .

美国交通研究委员会 . 道路通行能力手册 [M ] . 任福田,刘小明,荣建,等译 . 北京 : 人民交通出版社 , 2007 .

Transportation Research Board of USA . Highway capacity manual [M ] . Translated by REN F T,LIU X M,RONG J,et al . Beijing : China Communication Press , 2007 .

STRONG D W , NAGUI R M , COURAGE K . New calculation method for existing and extended HCM delay estimation procedure [C ] // The 85th Annual Meeting of the Transportation research Board . 2006 .

陆颖 , 林丽 . 基于遗传算法的平面交叉口信号配时优化 [J ] . 森林工程 , 2020 , 36 ( 6 ): 103 - 109 .

LU Y , LIN L . Signal timing optimization of intersections based on genetic algorithm [J ] . Forest Engineering , 2020 , 36 ( 6 ): 103 - 109 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

蜂窝车联网（C-V2X）及其赋能智能网联汽车发展的辩思与建议

蜂窝车联网（C-V2X）技术发展、应用及展望

基于信道反转的C-V2X动态功率控制方案

基于MEC的车联网技术研究及应用

车联网通信标准化与产业发展分析