An Intelligent Traffic Signal Control System Based on ARM Cortex-M3

2014 ◽  
Vol 602-605 ◽  
pp. 1378-1382 ◽  
Author(s):  
Shan Ying Cheng ◽  
Xue Mei Zhou ◽  
Qin Jiang
Keyword(s):  
Control System ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Jam ◽  
Task Control ◽  
Embedded Rtos ◽  
Stable Performance ◽  
Population Genetic Algorithm ◽  
Result Analysis

In order to alleviate traffic jam, an intelligent traffic signal control system base on ARM Cortex-M3 is implemented. In the system, STM32F207 is processor. Embedded RTOS CoOS is transplanted to achieve multi-task control of traffic signal in software design. A new multi-population genetic algorithm is developed to optimize green ratio. The result analysis shows that the system has stable performance and it makes the optimization of green ratio convenient and swift.

Stochastic Model of Traffic Jam and Traffic Signal Control

2011 ◽  
Vol 131 (2) ◽  
pp. 303-310
Author(s):  
Ji-Sun Shin ◽  
Cheng-You Cui ◽  
Tae-Hong Lee ◽  
Hee-hyol Lee
Keyword(s):  
Stochastic Model ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Jam

Traffic Flow Data Collection and Signal Control System Based on Internet of Things and Cloud Computing

2013 ◽  
Vol 846-847 ◽  
pp. 1608-1611 ◽  
Author(s):  
Hui Jie Ding
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Data Collection ◽  
Internet Of Things ◽  
Traffic Flow ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Flow Data ◽  
Traffic Jam ◽  
Sensing Data

As more and more cars are in service, the traffic jam becomes a serious problem in our society. At the same time, more and more sensors make the cars more and more intelligent, and this promotes the development of Internet of things. Real time monitoring the cars will produce massive sensing data, the Cloud computing gives us a good manner to solve this problem. In this paper, we propose a traffic flow data collection and traffic signal control system based on Internet of things and the Cloud computing. The proposed system contains two main parts, sensing data collection and traffic status control subsystem.

Traffic signal control based on a predicted traffic jam distribution

2009 ◽  
Vol 14 (2) ◽  
pp. 134-137 ◽  
Author(s):  
Cheng-You Cui ◽  
Ji-Sun Shin ◽  
Fumihiro Shoji ◽  
Hee-Hyol Lee
Keyword(s):  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Jam

Estimation of Crash Modification Factors for an Adaptive Traffic-Signal Control System

2016 ◽  
Vol 142 (12) ◽  
pp. 04016061 ◽  
Author(s):  
Jiaqi Ma ◽  
Michael D. Fontaine ◽  
Fang Zhou ◽  
Jia Hu ◽  
David K. Hale ◽  
...  
Keyword(s):  
Control System ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Adaptive Traffic Signal Control ◽  
Crash Modification Factors
Sign in / Sign up

Export Citation Format

Share Document