scholarly journals Research on the Applications of Electronic Information Technology in Intelligent Traffic Light Signal Control

2017 ◽  
Keyword(s):  
Information Technology ◽  
Light Signal ◽  
Signal Control ◽  
Traffic Light ◽  
Electronic Information

GAN and Multi-Agent DRL based Decentralized Traffic Light Signal Control

2021 ◽  
pp. 1-1
Author(s):  
Zixin Wang ◽  
Hanyu Zhu ◽  
Mingcheng He ◽  
Yong Zhou ◽  
Xiliang Luo ◽  
...  
Keyword(s):  
Light Signal ◽  
Signal Control ◽  
Traffic Light ◽  
Multi Agent

Intelligent Vehicular Traffic Signal Control for Vehicular AdHoc Networks

2021 ◽  
Vol 10 (2) ◽  
pp. 664-674
Keyword(s):  
Light Signal ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Traffic Light ◽  
Vehicle To Vehicle ◽  
City Regions ◽  
Vehicle To Infrastructure ◽  
Distance Vector ◽  
Traffic Regulator

Current traffic regulator in remote is vehicle impelled, pre-coordinated, and webster’s technique, which produce more deferral at higher traffic. The chance of sending a keen and constant versatile traffic light regulator, which gets data from vehicles, for example, the position and speed of the vehicle, and then use this information to streamline the traffic light signal at the convergence for vehicle to vehicle(V2V) and vehicle to infrastructure(V2I) communication. The traffic board framework utilizing the AdHoc Ondemand Distance Vector (AODV) convention for VANET is sufficiently used in this work. It has been seen that practically all routes demand communication arrive at the target, a couple over significant distances with center vehicle thickness fizzled. Nonetheless, the load on the association starting from the unsophisticated transmission is gigantic. Therefore, it additionally prompts rapidly developing postponements and connection disappointment. A few trajectory answers don’t come through considering the way that telecomunication is as yet going on. This is a basic issue, particularly in city regions with high vehicle thickness. Based on the information in this paper, appropriate traffic signal control is developed to minimize the congestion at the intersections

scholarly journals Traffic Light Signal Detector using Average Light Intensity Method

2020 ◽  
Vol 4 (3) ◽  
pp. 511
Author(s):  
Benediktus Anindito ◽  
Slamet Winardi ◽  
Moh Noor Al-Azam
Keyword(s):  
Information Technology ◽  
Law Enforcement ◽  
Light Signal ◽  
Test Results ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Law ◽  
Signal Detector ◽  
Traffic Law Enforcement ◽  
Cctv Camera

Electronic Traffic Law Enforcement (ETLE) is a way of using information technology to record a violation of traffic. This ETLE was developed to support security, order, and safety in traffic. Some cities or districts in Indonesia have started to apply this ETLE in several locations, which usually have traffic lights and frequent violations at these locations. In this paper, one of the elements in ETLE is tested, which is a traffic light signal detector, which will be used as a basis for whether a vehicle violates a traffic light or not. This detector uses a CCTV camera mounted on the location. It then analyzed the intensity of several image areas on the traffic lights in red, yellow, and green. From the test results, this method can determine the conditions of the traffic lights with 100% accuracy

scholarly journals Chula-SSS: Developmental Framework for Signal Actuated Logics on SUMO Platform in Over-saturated Sathorn Road Network Scenario

10.29007/t895 ◽  
2018 ◽  
Author(s):  
Chaodit Aswakul ◽  
Sorawee Watarakitpaisarn ◽  
Patrachart Komolkiti ◽  
Chonti Krisanachantara ◽  
Kittiphan Techakittiroj
Keyword(s):  
Software Package ◽  
Road Network ◽  
Light Signal ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Control Panel ◽  
Traffic Light ◽  
Traffic Police ◽  
Human Operators

In this paper, Chula-Sathorn SUMO Simulator (Chula-SSS) has been proposed as an educational tool for traffic police and traffic engineers. The tool supports our framework to develop actuated traffic signal control logics in order to resolve urban traffic congestion. The framework design aims to incorporate the tacit traffic control expertise of human operators by trying to extract and extend the human-level intelligence in actuating logically traffic signal controls. In this regard, a new software package has been developed for the microscopic-mobility computer simulation capability of the SUMO (Simulation of Urban MObility) platform. Using the SUMO TraCI, our package implements the graphical user interface (GUI) of actual traffic light signal control panel, recently introduced in Bangkok (Thailand) for traffic police deployment in the Chulalongkorn University’s Sathorn Model project under the umbrella of Sustainable Mobility Project 2.0 of the World Business Council for Sustainable Development (WBCSD). The traffic light signal control panel GUI modules can communicate via TraCI in real-time to SUMO in order both to retrieve the raw traffic sensor data emulated within SUMO and to send the desired traffic light signal phase manually entered via GUI by the module users. Each of the users could play a role of traffic police in charge of actuating the traffic light signal at each of the controllable intersections. To demonstrate this framework, Chula-SSS has been implemented with the calibrated SUMO dataset of Sathorn Road network area. This area is one of the most critical areas in Bangkok due to the immense traffic volume with daily recurring traffic bottlenecks and network deadlocks. The simulation comprises of 2375 intersection nodes, 4517 edges, 10 main signalised intersections. The provided datasets with Chula-SSS cover both the morning and evening rush-hour periods each with over 55,000 simulated vehicles based on the comprehensive traffic data collection and SUMO mobility model calibration. It is hoped that the herein developed framework and software package can be not only useful for our Thailand case, but also readily extensible to those developing and least- developed countries where traffic signal controls rely on human operations, not yet fully automated by an area traffic controller. In those cases, the framework proposed herein is expectedly an enabling technology for the human operators to practice, learn, and evolve their traffic signal control strategies systematically.

scholarly journals Automatic traffic light controller for emergency vehicle using peripheral interface controller

2019 ◽  
Vol 9 (3) ◽  
pp. 1788 ◽  
Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Light Signal ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Light Area ◽  
On The Road

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.

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