Real-time traffic signal control for optimization of traffic jam probability

被引：2

作者：

Cui, Cheng-You ^{[1
]}

Shin, Ji-Sun ^{[1
]}

Miyazaki, Michio ^{[2
]}

Lee, Hee-Hyol ^{[1
]}

机构：

[1] Waseda Univ, Tokyo, Japan

[2] Kanto Gakuin Univ, Yokohama, Kanagawa, Japan

来源：

ELECTRONICS AND COMMUNICATIONS IN JAPAN | 2013年 / 96卷 / 01期

关键词：

traffic jam; traffic signal control; Bayesian network; predicted probabilistic distribution; particle swarm optimization; cellular automaton traffic model; CELLULAR-AUTOMATON MODEL;

D O I：

10.1002/ecj.11436

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Real-time traffic signal control is an integral part of an urban traffic control system. It can control traffic signals online according to variations of traffic flow. In this paper we propose a new method for a real-time traffic signal control system. The system uses a cellular automaton model and a Bayesian network model to predict probabilistic distributions of standing vehicles, and uses particle swarm optimization to calculate the optimal traffic signals. A simulation based on real traffic data was carried out to show the effectiveness of the proposed CAPSOBN real-time traffic signal control system using a micro traffic simulator. (c) 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 96(1): 113, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11436

引用

页码：1 / 13

页数：13

共 50 条

[31] Effects of Predictive Real-Time Traffic Signal Information
Sokolov, Vadim
Imran, Muhammad
Etherington, David W.
Karbowski, Dominik
Rousseau, Aymeric
2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 1834 - 1839
[32] Real-time detection of crossing pedestrians for traffic-adaptive signal control
Bhuvaneshwar, V
Mirchandani, PB
ITSC 2004: 7TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2004, : 309 - 313
[33] Real-time control for traffic signal based on fuzzy hybrid petri net
Zhang, Z. (zhangzundong@gmail.com), 1600, Binary Information Press (10):
[34] Capability-Enhanced Microscopic Simulation With Real-Time Traffic Signal Control
Fang, Fang Clara
Elefteriadou, Lily
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, 9 (04) : 625 - 632
[35] An efficient heterogeneous platoon dispersion model for real-time traffic signal control
Yao, Zhihong
Zhao, Bin
Qin, Lingqiao
Jiang, Yangsheng
Ran, Bin
Peng, Bo
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 539 (539)
[36] Capability-enhanced microscopic simulation with real-time traffic signal control
Fang, Fang Clara
Elefteriadou, Lily
2007 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE, VOLS 1 AND 2, 2007, : 1001 - +
[37] Cost Effective Real-Time Traffic Signal Control Using the TUC Strategy
Kraus, Werner, Jr.
de Souza, Felipe Augusto
Kosmatopoulos, Elias B.
Carlson, Rodrigo Castelan
Papageorgiou, Markos
Camponogara, Eduardo
Dantas, Luciano Dionisio
Aboudolas, Konstantinos
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2010, 2 (04) : 6 - 17
[38] A Hybrid Strategy for Real-Time Traffic Signal Control of Urban Road Networks
Kouvelas, Anastasios
Aboudolas, Konstantinos
Papageorgiou, Markos
Kosmatopoulos, Elias B.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 12 (03) : 884 - 894
[39] Real-Time Traffic Control for Multihomed Devices
Frantti, Tapio
Majanen, Mikko
2013 INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN), 2013,
[40] Adaptive, real-time traffic control management
Nakamiti, G.
Freitas, R.
International Journal of Automotive Technology, 2002, 3 (03) : 89 - 94

← 1 2 3 4 5 →