A Rolling Optimization Algorithm for Real-time Traffic Control with Delay Minimization

Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion has become a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model was simulated and the performance was assessed using response time, delay and throughput. Results showed that, mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.

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Transport modeling: An artificial immune system approach

Yugoslav journal of operations research ◽

10.2298/yjor0601003t ◽

2006 ◽

Vol 16 (1) ◽

pp. 3-30

Author(s):

Dusan Teodorovic ◽

Jovan Popovic ◽

Panta Lucic

Keyword(s):

Immune System ◽

Real Time ◽

Traffic Control ◽

System Approach ◽

Artificial Immune System ◽

Control Strategies ◽

Transportation Systems ◽

Artificial Immune ◽

Real Time Traffic ◽

Wide Range

This paper describes an artificial immune system approach (AIS) to modeling time-dependent (dynamic, real time) transportation phenomenon characterized by uncertainty. The basic idea behind this research is to develop the Artificial Immune System, which generates a set of antibodies (decisions, control actions) that altogether can successfully cover a wide range of potential situations. The proposed artificial immune system develops antibodies (the best control strategies) for different antigens (different traffic "scenarios"). This task is performed using some of the optimization or heuristics techniques. Then a set of antibodies is combined to create Artificial Immune System. The developed Artificial Immune transportation systems are able to generalize, adapt, and learn based on new knowledge and new information. Applications of the systems are considered for airline yield management, the stochastic vehicle routing, and real-time traffic control at the isolated intersection. The preliminary research results are very promising.

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A Resilient Real-Time Traffic Control System

2015 IEEE 18th International Conference on Intelligent Transportation Systems ◽

10.1109/itsc.2015.461 ◽

2015 ◽

Author(s):

Ahmed Serageldin ◽

Axel Krings

Keyword(s):

Control System ◽

Real Time ◽

Traffic Control ◽

Real Time Traffic ◽

Traffic Control System

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The Dynamic Control of the Light Signalling Device in Real-Time

MATEC Web of Conferences ◽

10.1051/matecconf/201929203014 ◽

2019 ◽

Vol 292 ◽

pp. 03014

Author(s):

Jan Mrazek ◽

Lucia Duricova Mrazkova ◽

Martin Hromada ◽

Jana Reznickova

Keyword(s):

Real Time ◽

Traffic Control ◽

Dynamic Control ◽

Traffic Density ◽

Light Signaling ◽

Dynamic Traffic ◽

Real Time Control ◽

Real Time Traffic ◽

Time Control ◽

Control Dynamic

The article is focused on the issue of interval on a light signaling device. Light signaling devices operate on different systems by means of which they are controlled. The control problem is a very static setting that does not respond to real-time traffic. Important variables for dynamic real-time control are traffic density in a selected area along with average speed. These variables are interdependent and can be based on dynamic traffic control. Dynamic traffic control ensures smoother traffic through major turns. At the same time, the number of harmful CO2 emitted from the means of transport should be reduced to the air. When used in low operation, power consumption should be reduced.

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