Traffic Flow Modeling and Simulation Based on A Novel Cellular Learning Automaton

被引：0

作者：

Chen, Yong ^{[1
]}

He, Hong ^{[1
]}

Zhou, Ning ^{[1
]}

机构：

[1] Lanzhou Jiaotong Univ, Sch Elect & Informat Engn, Lanzhou, Gansu, Peoples R China

来源：

2018 IEEE INTERNATIONAL CONFERENCE OF INTELLIGENT ROBOTICS AND CONTROL ENGINEERING (IRCE) | 2018年

基金：

中国国家自然科学基金;

关键词：

cellular learning automata; intelligent control; cellular automata; traffic flow; complex system modeling; VEHICLES; CAR;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel cellular learning automaton traffic flow model is proposed to solve the problem that the probability of randomization in the NaSch model is not consistent with the actual traffic. The learning mechanism is introduced in this model. Cellular can learn traffic information from cellular neighbors in real time. The traffic environment information, such as, relative speed and safety distance will be cellular parallel ruler through the randomization probability form after learning. Finally through numerical simulation, the space-time characteristics were obtained, and comparison with the NaSch model is analyzed. The results show that the improved model can reduce the blocking the road to a certain extent and traffic jam dissolving efficiency is higher. The stability analysis of vehicle running from two aspects of speed fluctuation and headway fluctuation shows that the method in this paper can make traffic flow more stable.

引用

页码：233 / 237

页数：5

共 15 条

[1] Simulation of pedestrian dynamics using a two-dimensional cellular automaton [J].

Burstedde, C ;

Klauck, K ;

Schadschneider, A ;

Zittartz, J .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2001, 295 (3-4) :507-525

[2] Exit selection and pedestrian movement in a room with two exits under fire emergency [J].

Cao, Shuchao ;

Fu, Libi ;

Song, Weiguo .

APPLIED MATHEMATICS AND COMPUTATION, 2018, 332 :136-147

[3] A cellular automata model for traffic flow based on kinetics theory, vehicles capabilities and driver reactions [J].

Guzman, H. A. ;

Larraga, M. E. ;

Alvarez-Icaza, L. ;

Carvajal, J. .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 491 :528-548

[4] Modeling mechanical restriction differences between car and heavy truck in two-lane cellular automata traffic flow model [J].

Li, Xin ;

Li, Xingang ;

Xiao, Yao ;

Jia, Bin .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 451 :49-62

[5] Cellular automata rule characterization and classification using texture descriptors [J].

Machicao, Jeaneth ;

Ribas, Lucas C. ;

Scabini, Leonardo F. S. ;

Bruno, Odermir M. .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 497 :109-117

[6]

NAGEL K, 1992, J PHYS I, V2, P2221, DOI 10.1051/jp1:1992277

[7] Multi-objective optimisation framework for calibration of Cellular Automata land-use models [J].

Newland, Charles P. ;

Maier, Holger R. ;

Zecchin, Aaron C. ;

Newman, Jeffrey P. ;

van Delden, Hedwig .

ENVIRONMENTAL MODELLING & SOFTWARE, 2018, 100 :175-200

[8] Impacts of traffic congestion on fuel rate, dissipation and particle emission in a single lane based on Nasch Model [J].

Pan, Wei ;

Xue, Yu ;

He, Hong-Di ;

Lu, Wei-Zhen .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 503 :154-162

[9] Modelling vehicular interactions for heterogeneous traffic flow using cellular automata with position preference [J].

Pandey G. ;

Rao K.R. ;

Mohan D. .

Journal of Modern Transportation, 2017, 25 (3) :163-177

[10] Simulation of free boarding process using a cellular automaton model for passenger dynamics [J].

Qiang, Shengjie ;

Jia, Bin ;

Huang, Qingxia ;

Jiang, Rui .

NONLINEAR DYNAMICS, 2018, 91 (01) :257-268

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