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Traffic Light Smartification Using Graphs

Mobayen, Amir Hossein | 2017

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 50876 (52)
  4. University: Sharif University of Technology
  5. Department: Science and Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin; Haj Sadeghi, Khosrow
  7. Abstract:
  8. Since traffic lights are the only mechanized system at street level, their operation mode affects traffic congestion. Since traffic lights organize vehicles at crossways, the target of traffic light smartification is to reduce waiting time based on the density of traffic flows. There are many topics that work in this field to recognize traffic before making any decision based on traffic. Hence, if it is possible to introduce an algorithm for change static timing and predetermined timing of the traffic lights, it can affect the density of traffic at the large scale. This dissertation introduces an algorithm to reduce traffic congestion using traffic lights and correct timing. In this case, vehicles may stop more on the street behind traffic lights, but by assigning appropriate weight to streets, an overall decrease in traffic will occur. The proposed algorithm will be simulated with the help of MATLAB software in order to demonstrate the superiority of this algorithm. As Result, algorithm could act better with almost 10 vehicle/sec which reduces sparse situation and with 100 vehicle/sec in order to reduce traffic in dense situation at our imaginary topology in compare with static timing. So simulation results demonstrate performance improvement with the approach outlined
  9. Keywords:
  10. Vehicular Ad Hoc Network (VANET) ; Graphs ; Distributed System ; Traffic Signal ; Actuated Signal ; Traffic Light Controling

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