Experimental Analysis on control constraints for connected vehicles using Vissim

被引:6
|
作者
Park, Sangung [1 ]
Kim, Jooyoung [1 ]
Lee, Seungjae [1 ]
Hwang, Kyungsoo [2 ]
机构
[1] Univ Seoul, Room 523 21st Hall Univ Seoul 163 Seoulsiripdaero, Seoul 02504, South Korea
[2] Jeju Natl Univ, Coll Social Sicence, Room 2323-2 Coll Social Sicence Hall Jeju Natl Un, Jeju Si 63243, Jeju Special Se, South Korea
来源
INTERNATIONAL SYMPOSIA OF TRANSPORT SIMULATION (ISTS) AND THE INTERNATIONAL WORKSHOP ON TRAFFIC DATA COLLECTION AND ITS STANDARDIZATION (IWTDCS): ADVANCED TRANSPORT SIMULATION MODELLING BASED ON BIG DATA | 2017年 / 21卷
基金
新加坡国家研究基金会;
关键词
CV environment; VISSIM; Radio communication range; Recovery time; V2I; Variable Speed Control; OF-THE-ART; COMMUNICATION;
D O I
10.1016/j.trpro.2017.03.097
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Recent advances in CV environment made technologies much higher level. We just thought about that high-level technologies made CV environment better. This paper studies the CV environment considering various traffic congestion level and optimal speed control using the microscopic simulation (Vissim) based on proper parameters and algorithm. To evaluate road condition, we suggest some kinds of MOE e.g. recovery time, average speed, and delay. In conclusion, CV environment can reduce the congestion in proper traffic volume. However, if traffic volume is almost near the capacity, even CV environment can't relieve the road condition. If the number of CV environment vehicle increases, it will reduce the congestion and a road accident much better. This result will be the foundation for the CV environment much better. Copyright (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:269 / 280
页数:12
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