Evaluating the environmental impact on connected vehicles during freeway accidents using VISSIM with probe vehicle data

被引:0
|
作者
Shin, Hyunju [1 ]
Ko, Jieun [2 ]
Lee, Gunwoo [2 ]
Oh, Cheol [2 ]
机构
[1] Hanyang Univ ERICA, Dept Smart City Engn, Ansan 15588, South Korea
[2] Hanyang Univ ERICA, Dept Transportat & Logist Engn, Ansan 15588, South Korea
来源
ELECTRONIC RESEARCH ARCHIVE | 2024年 / 32卷 / 04期
基金
新加坡国家研究基金会;
关键词
connected vehicle; traffic simulation; vehicle emissions; traffic accidents; probe vehicle data; HIGHWAY CAPACITY; MOBILITY; CALIBRATION; TECHNOLOGY; VALIDATION; EMISSIONS; SAFETY; SPEED; MODEL;
D O I
10.3934/era.2024135
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We evaluated emissions as an environmental effect resulting from connected vehicles (CVs) during freeway accidents. The CVs were used to determine the CV driving characteristics, whose values were used to implement the CV driving pattern using a microscopic traffic simulation. The environmental effect of implementation of CV was evaluated using the vehicle trajectory data derived from the simulation results. Implementation of CV effectively minimized the vehicle emissions regardless of the market penetration rate (MPR). In terms of vehicle type, the emissions reduction rate of passenger cars was the highest at a maximum of 33.4%. In the case of pollutants, the reduction rate of CO based on all vehicles was the highest at a maximum of 28.8%. Overall, we found that the implementation of CV positively affected vehicle emissions reductions, and an MPR of 60% could maximize the vehicle emissions reduction effect.
引用
收藏
页码:2955 / 2975
页数:21
相关论文
共 33 条
  • [31] Analyzing speed-difference impact on freeway joint injury severities of Leading-Following vehicles using statistical and data-driven models
    Wang, Chenzhu
    Abdel-Aty, Mohamed
    Han, Lei
    Easa, Said M.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2024, 206
  • [32] Quantifying on-road vehicle emissions during traffic congestion using updated emission factors of light-duty gasoline vehicles and real-world traffic monitoring big data
    Chen, Xue
    Jiang, Linhui
    Xia, Yan
    Wang, Lu
    Ye, Jianjie
    Hou, Tangyan
    Zhang, Yibo
    Li, Mengying
    Li, Zhen
    Song, Zhe
    Li, Jiali
    Jiang, Yaping
    Li, Pengfei
    Zhang, Xiaoye
    Zhang, Yang
    Rosenfeld, Daniel
    Seinfeld, John H.
    Yu, Shaocai
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 847
  • [33] Environmental Impacts of Transportation Network Company (TNC)/Ride-Hailing Services: Evaluating Net Vehicle Miles Traveled and Greenhouse Gas Emission Impacts within San Francisco, Los Angeles, and Washington, DC Using Survey and Activity Data
    Martin, Elliot
    Shaheen, Susan
    Wolfe, Brooke
    [J]. SUSTAINABILITY, 2024, 16 (17)