scholarly journals Design of an Agent-Based Traffic Control System

2019 ◽  
Vol 8 (6S3) ◽  
pp. 71-76
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Urban Areas ◽  
Process Model ◽  
Design Science ◽  
Research Process ◽  
Agent Based ◽  
Traffic Lights ◽  
Traffic Environment ◽  
Traffic Control System

Traffic control system is an imperative instrument in traffic management and smart urban development. However, most of the current traffic control systems cannot intercommunicate nor interact with each other. Most importantly, none of these systems are proactive and reactive to their immediate traffic environment. Thus, this study explores the design of an agent-based traffic control system where traffic lights can interact and inter-communicate to take prompt traffic control decisions within a traffic area. The study presents an agent-based traffic control system known as ATC. ATC system design was done using Design Science Research Process Model while the system was evaluated using qualitative research methodology. The study argues that there is need for traffic control system to be more reactive and proactive to their immediate traffic environment in order to limit traffic jam in urban areas.

Application of PLC in the Expressway Intelligent Traffic Control System

2013 ◽  
Vol 361-363 ◽  
pp. 2219-2223
Author(s):  
Xin Hua Wei ◽  
Xian Xing Duan ◽  
Xiao Kan Wang
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Flow Speed ◽  
The Body ◽  
Host Computer ◽  
Scientific Management ◽  
Traffic Lights ◽  
Traffic Control System ◽  
Vehicle Size ◽  
Sense Coil

The expressway intelligent traffic control system based on S7-200 series Programmable Logic Controller (PLC) was introduced in this paper.PLC has strong adaptability in the complex environment and rich internal timer resources, it is easily to realize accuracy controlling the traffic lights, specially for multi-crossroads.PLC analyzed and processed the signals of the body flow, speed, vehicle size and other data by the sense coil, then transmitting the information to the host computer. The host computer might automatically adjust the length of time from the final signal to achieve intelligent scientific management of traffic lights.

scholarly journals Intelligent Traffic Control System Using ARM7 Controller and Image Processing Techniques

2021 ◽  
Vol 11 (4) ◽  
pp. 2726-2735
Author(s):  
Dr.E.V. Krishna Rao ◽  
N. Alekhya ◽  
K. Rupa ◽  
M. Sai Sujith ◽  
Sk Abdulla Aman Ahmed
Keyword(s):  
Control System ◽  
Time Delay ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Current Model ◽  
Urban Traffic ◽  
Emergency Vehicle ◽  
Traffic Lights ◽  
Alert Message ◽  
Traffic Control System

The urban traffic congestion is being increased day by day due to large number of vehicles are used by dense people in cities. In the current model of the Traffic Control System, the time delay of each signal light is static which leads to lot of waiting time and was tage of fuel. To overcome this problem, intelligent traffic management system of controlling the traffic lights using the ARM 7 controller and camera sensor is proposed. The camera which is installed along the pavement captures the real time video of the road. The video is then processed indifferent stages to find the number of vehicles in that particular lane using Convex hull technique and accordingly the time delay of the traffic signals has been changed dynamically. Incase, if an emergency vehicle like ambulance is detected by RF434 in a particular lane then automatically this lane will be given the highest priority to clear the traffic. Another feature is if any vehicle violates the traffic line that can also be identified by the RFID reader and automatically and an alert message will be sent to registered mobile number through GSM module which is interfaced with LPC2148.

scholarly journals Smart Ambulance Traffic Control System

2021 ◽  
Vol 4 (1) ◽  
pp. c28-34
Author(s):  
SUREN KRISHNAN ◽  
RAJAN THANGAVELOO ◽  
SHAPI-EE BIN ABD RAHMAN ◽  
SIVA RAJA SINDIRAMUTTY
Keyword(s):  
Control System ◽  
Radio Frequency Identification ◽  
Traffic Control ◽  
Integrated System ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Light Control ◽  
Emergency Ambulance ◽  
Traffic Control System

The traffic lights control system is broadly implemented to track and control the flow of vehicles through the intersection of multiple roads. Nevertheless, the synchronization of traffic light system at adjacent junctions is an intricate issue given the different parameters involved. Existing traffic light control systems do not control many flows approaching the same junctions. This results in traffic jams and congestion at urban areas or major cities with high volume traffic consisting of various types of vehicles. This includes emergency ambulances travelling on the same traffic junction during peak hour traffic. Thus, an enhanced traffic light control system is imperative to provide a smooth and free flow for an ambulance on the way to its destination. The Smart Ambulance Traffic Control System proposed in this paper is an integrated system of traffic light control for emergency ambulance service. The traffic lights can be controlled in a timely and efficient manner every time an emergency ambulance is approaching. The Radio-Frequency Identification (RFID) is used as an instrument to communicate with traffic lights during traffic congestion. The emergency ambulance driver needs to activate the RFID tag to allow the detection of RFID readers to control the traffic light operation at the upcoming traffic light junctions. The traffic lights in the path of the ambulance are forced to be green to allow the emergency ambulance to pass through the junction with top priority. Immediately after the ambulance has passed the junction, the control system will reset and return to normal operations.

scholarly journals Swarm Intelligence Based Traffic Control System

2017 ◽  
Vol 7 (2) ◽  
pp. 46
Author(s):  
Bindu Varshini Kosanam ◽  
Abhinay Kukkadapu
Keyword(s):  
Control System ◽  
Swarm Intelligence ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Red Light ◽  
Wait Time ◽  
Traffic Signal ◽  
Traffic Lights ◽  
Traffic Control System ◽  
Six Degrees Of Separation

<div><p class="Abstract"><em>Traffic congestion is one of the major problems in many of metro cities all over the world today. It affects daily life in many aspects such as improper time management, stress, frustration which leads to reckless driving. Average time to reach destination is decided by travel speed which is directly proportional to traffic congestion and also the wait time at each and every traffic signal. In this paper a novel Swarm Intelligence based Traffic Control System (SITS) inspired from nature mimicking (Particle Swarm Optimization) is discussed. This State of the art SITS with Six Degrees of Separation approach to traffic congestion is applying swarm intelligence to traffic lights to avoid waiting of vehicles at red light decreasing wait time and congestion. Here cars will not take random paths or will not take dynamic routes. Six degrees of separation will be employed at each node (traffic signal) to limit computational power and to improve efficiency.</em></p></div>

Valuation-Aware Traffic Control

2009 ◽  
pp. 218-239 ◽  
Author(s):  
Heiko Schepperle ◽  
Klemens Böhm
Keyword(s):  
Control System ◽  
Waiting Time ◽  
Traffic Control ◽  
Control Mechanisms ◽  
Driver Assistance ◽  
Agent Based ◽  
Road Intersections ◽  
Traffic Control System ◽  
Near Future ◽  
Intersection Control

Current intersection-control systems lack one important feature: They are unaware of the different valuations of reduced waiting time of the drivers. Drivers with high valuations may be willing to pay to be prioritized at intersections. In this chapter, the authors describe an agent-based valuation-aware intelligent traffic-control system for road intersections which increases the overall driver satisfaction. It combines valuation-aware intersection-control mechanisms with sophisticated driver-assistance features, subsequently referred to as adaptive cruise and crossing control (A3C). Driver-assistance agents and intersection agents negotiate so-called time slots to cross the intersection. The driver-assistance agent adapts the speed of the vehicle in line with the time slot obtained. Various obstacles are in the way of realizing such a system and making it operational. The authors discuss these challenges and present ideas for solutions. They examine the intersection-control and the driver-assistance perspective of the intelligent traffic-control system. After a brief evaluation, they finally describe application scenarios where agent-based valuation-aware intersection control may become operational in the near future.

Gridlock

2021 ◽  
pp. 31-36
Author(s):  
Rob Kitchin
Keyword(s):  
Control System ◽  
Traffic Flow ◽  
Traffic Control ◽  
Entire System ◽  
Traffic Lights ◽  
The Road ◽  
Competing Demands ◽  
Data Points ◽  
Traffic Control System ◽  
Derived Data

This chapter charts the data journeys and transformations that take place across the network of cameras, sensors, and software that makes up a traffic control system. It details a story when Travista, the traffic control system, encountered some problem which resulted in the Dutch Prime Minister's car being stuck in traffic. Instantaneously and continuously, Travista gathered and processed thousands of data points from inductive loops embedded in the surface of the road, cameras and radar scanners mounted on poles, and transponders fixed on buses, pinging them in packets across a dedicated intranet to a central server. There, the packets were re-joined and fed into a database, more valuable derived data produced, and raw and transitory data deleted. Travista imported the derived data and used them to calculate how best to optimize traffic flow and balance competing demands by synchronizing the timing of signal cycles and phases of the traffic lights at three levels: a single intersection, a subsystem, and across the entire system, where a subsystem was a group of closely related junctions sited around at least one critical intersection. At the same time, it was possible to converse with Travista; to suggest alternatives and tweak how Travista functioned. However, like every sentient being, Travista occasionally got confused or overwhelmed. The result was several subsystems becoming overloaded with traffic causing system-wide congestion.

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