Expressway Traffic Flow Model Study Based on Different Traffic Rules

被引：14

作者：

Zeng, Junwei ^{[1
]}

Yu, Senbin ^{[2
]}

Qian, Yongsheng ^{[1
]}

Feng, Xiao ^{[2
]}

机构：

[1] Lanzhou Jiaotong Univ, Sch Traff & Transportat, Lanzhou 730070, Gansu, Peoples R China

[2] Beijing Jiaotong Univ, Beijing 100044, Peoples R China

来源：

IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2018年 / 5卷 / 06期

关键词：

Expressway; lane changing probability; phase transitions; traffic rules; CELLULAR-AUTOMATON MODEL; DYNAMICS; HIGHWAY;

D O I：

10.1109/JAS.2017.7510469

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, two cellular automata traffic models are proposed to simulate the operation of an expressway. The results show that the flow rate and the average velocity are generally equal in the same density which is different among the lanes. The analysis of lane changing times and the velocity total deviation show some characteristics which are difficult to explain phase transitions under fundamental diagram theory. Therefore, the concept of lane changing probability is introduced, and it is concluded that the speed-limit rule can reduce the motivation of lane changing effectively.

引用

页码：1099 / 1103

页数：5

共 50 条

[31] Expressway traffic joint control based on traffic state estimation
Jia H.-F.
Li Y.-X.
Yang L.-L.
1600, Editorial Board of Jilin University (47): : 76 - 81
[32] Influence of the moving bottleneck on the traffic flow on expressway
Li, Qiaoru
Pan, Yuexiang
Chen, Liang
Cheng, Changguang
ADVANCED TRANSPORTATION, PTS 1 AND 2, 2011, 97-98 : 480 - 484
[33] Prediction Model for Expressway Traffic Flow of Regional Central Cities Based on Time-segments
Zhu, Ruixin
SEVENTH INTERNATIONAL CONFERENCE ON TRAFFIC ENGINEERING AND TRANSPORTATION SYSTEM, ICTETS 2023, 2024, 13064
[34] Estimating traffic flow models for urban expressway based on measurement data
Shao, C.-F. (cfshao@bjtu.edu.cn), 1600, Science Press (13):
[35] Expressway traffic flow prediction based on MF-TAN and STSA
Zhang, Xi
Ren, Qiang
Zhang, Ying
Quan, Chunlian
Guo, Shuang
Li, Fangwei
PLOS ONE, 2024, 19 (02):
[36] Traffic incident duration forecast model of expressway
Yang, Chao
Wang, Chao
Yang, C. (tongjiyc@tongji.edu.cn), 1600, Science Press (41): : 1015 - 1019
[37] TRAFFIC NOISE COMPARATIVE ANALISYS BASED ON DIFFERENT TRAFFIC FLOW PARAMETERS
Burdzik, Rafal
Smigalski, Grzegorz
SCIENTIFIC JOURNAL OF SILESIAN UNIVERSITY OF TECHNOLOGY-SERIES TRANSPORT, 2013, 78 : 31 - 38
[38] Traffic on the TLR expressway
Taft, Justin
Bogunovic, Dusan
JOURNAL OF EXPERIMENTAL MEDICINE, 2024, 221 (08):
[39] Empirical investigation of the effects of fixed traffic detector deployment on expressway traffic flow forecasting
Dong, Chunxiao
Zhang, Litao
Sun, Hongyun
Zhang, Jun
Zhang, Xinran
Journal of Railway Science and Engineering, 2022, 19 (02) : 359 - 366
[40] SOLVING HEAVY TRAFFIC FLOW PROBLEMS ON A MAJOR EXPRESSWAY
KIMMEL, DI
PUBLIC WORKS, 1983, 114 (05): : 72 - 73

← 1 2 3 4 5 →