Road Traffic Signal Control and Management System : A Survey

2020 ◽  
Author(s):  
R M Savithramma ◽  
R Sumathi
Keyword(s):  
Management System ◽  
Road Traffic ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
System A ◽  
Control And Management

The effect of road traffic signal control cooperated with railroad crossing on surrounding traffic flow

2019 ◽  
Vol 2019.28 (0) ◽  
pp. 1012
Author(s):  
Kento OOE ◽  
Ryo ISHII ◽  
Bo YANG ◽  
Tsutomu KAIZUKA ◽  
Toshiyuki SUGIMACHI ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control

Principles of road traffic signal control

2019 ◽  
pp. 7-17 ◽  
Author(s):  
Manfred Boltze ◽  
Hideki Nakamura ◽  
Zong Tian
Keyword(s):  
Road Traffic ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control

scholarly journals Research on Urban Traffic Signal Control Systems Based on Cyber Physical Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Li-li Zhang ◽  
Qi Zhao ◽  
Li Wang ◽  
Ling-yu Zhang
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
Road Traffic ◽  
Control Strategies ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
General Control ◽  
Urban Road ◽  
New System

In this paper, we present a traffic cyber physical system for urban road traffic signal control, which is referred to as UTSC-CPS. With this proposed system, managers and researchers can realize the construction and simulation of various types of traffic scenarios, the rapid development, and optimization of new control strategies and can apply effective control strategies to actual traffic management. The advantages of this new system include the following. Firstly, the fusion architecture of private cloud computing and edge computing is proposed for the first time, which effectively improves the performance of software and hardware of the urban road traffic signal control system and realizes information security perception and protection in cloud and equipment, respectively, within the fusion framework; secondly, using the concept of parallel system, the depth of real-time traffic control subsystem and real-time simulation subsystem is realized. Thirdly, the idea of virtual scene basic engine and strategy agent engine is put forward in the system design, which separates data from control strategy by designing a general control strategy API and helps researchers focus on control algorithm itself without paying attention to detection data and basic data. Finally, considering China, the system designs a general control strategy API to separate data from control strategy. Most of the popular communication protocols between signal controllers and detectors are private protocols. The standard protocol conversion middleware is skillfully designed, which decouples the field equipment from the system software and achieves the universality and reliability of the control strategy. To further demonstrate the advantages of the new system, we have carried out a one-year practical test in Weifang City, Shandong Province, China. The system has been proved in terms of stability, security, scalability, practicability and rapid practice, and verification of the new control strategy. At the same time, it proves the superiority of the simulation subsystem in the performance and simulation scale by comparing the different-scale road networks of Shunyi District in Beijing and Weifang City in Shandong Province. Further tests were conducted using real intersections, and the results were equally valid.

scholarly journals Dynamic Road Traffic Signal Control using Digital Image Processing and RFID Sensors

IJARCCE ◽  
2017 ◽  
Vol 6 (5) ◽  
pp. 188-191
Author(s):  
Prof. Wrushali M Mendre ◽  
Charudutta Sonone ◽  
Shrikrishna Choudhari ◽  
Kumar Gaurav
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Road Traffic ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control
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