| Abstrakt: |
Traffic congestion is one of the major problems facing drivers all over the world, especially in the urban road network, where lost time and fuel consumption are a major concern. Traffic Signal Control (TSC) can be self-regulating and adaptive to changes in traffic conditions using Vehicle Dedicated Network (VANET) technology and intelligent control algorithm as VANET technology provides comprehensive information on vehicles approaching intersections. Scheduling algorithm for traffic lights in VANET scenario shows low performance with large coverage area. This is, most probably, because an intersection is considered to be isolated under a small coverage area. As the area increases, especially in large cities, such a consideration is not suitable. Hence, a scheduling algorithm for traffic lights in a VANET scenario is investigated and developed in this paper under different coverage areas. The main objects here are to alleviate the problem of traffic congestion and shorten vehicle wait times at an intersection in Ramadi city as a case study. Instead of using a scheduling algorithm with a fixed maximum green time, an adaptive time is proposed according to coverage area. The orders of vehicles that have arrived or will arrive at the intersection make maximum green time adaptive. The developed algorithm is simulated for different coverage areas and interesting results are shown in detail. The results showed the superiority of the developed scheduling algorithm over the traditional system used in the intersection, and this algorithm is suitable for non-isolated intersections because even outgoing vehicles from an intersection can be taken into consideration. [ABSTRACT FROM AUTHOR] |
