A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong

被引：0

作者：

Ng, Sin-Chun ^{[1
]}

Kwok, Chok-Pang ^{[1
]}

Fung, Yui-Chung ^{[1
]}

So, Chun-Yung ^{[1
]}

Lam, Yuen-Ho ^{[1
]}

机构：

[1] Open Univ Hong Kong, Sch Sci & Technol, Kowloon, Hong Kong, Peoples R China

来源：

2020 10TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST) | 2020年

关键词：

intelligent traffic light system; hybrid intelligent system; traffic congestion;

D O I：

10.1109/icist49303.2020.9202144

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traffic management is one of the transportation issues in modern cities due to the rapid growth of populations and city developments. Without well -developed traffic management or by out-of-date traffic management models, congestions will have occurred since road transportation is one of the essential connections in a city. This paper presents a hybrid intelligent traffic light system for the Hong Kong traffic network which optimizes the road throughputs using object detection and evolutionary algorithm. Simulation results show the improved efficiency and effectiveness of the road usage by using the hybrid intelligent traffic light system.

引用

页码：258 / 265

页数：8

共 12 条

[1]

Abadi M, 2016, PROCEEDINGS OF OSDI'16: 12TH USENIX SYMPOSIUM ON OPERATING SYSTEMS DESIGN AND IMPLEMENTATION, P265

[2]

[Anonymous], P SIMUL 2011 3 INT C

[3]

Chavan Shilpa S., 2009, 2009 2nd International Conference on Emerging Trends in Engineering and Technology (ICETET 2009), P1086, DOI 10.1109/ICETET.2009.76

[4] A study of the bi-directional pedestrian flow characteristics at Hong Kong signalized crosswalk facilities [J].

Lam, WHK ;

Lee, JYS ;

Cheung, CY .

TRANSPORTATION, 2002, 29 (02) :169-192

[5]

Lim G, 2001, 10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, P1279, DOI 10.1109/FUZZ.2001.1008892

[6] Introduction to modeling and simulation [J].

Maria, A .

PROCEEDINGS OF THE 1997 WINTER SIMULATION CONFERENCE, 1997, :7-13

[7] Intelligent traffic lights Based on MATLAB [J].

Nie, Ying .

ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II, 2018, 1955

[8]

Okeyo G., 2015, INT J COMPUTER APPL, V4, P566

[9]

Qin ZK, 2019, CHIN AUTOM CONGR, P5869, DOI [10.1109/cac48633.2019.8997311, 10.1109/CAC48633.2019.8997311]

[10] Improved Faster R-CNN Traffic Sign Detection Based on a Second Region of Interest and Highly Possible Regions Proposal Network [J].

Shao, Faming ;

Wang, Xinqing ;

Meng, Fanjie ;

Zhu, Jingwei ;

Wang, Dong ;

Dai, Juying .

SENSORS, 2019, 19 (10)

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