Based On The Flow Of Traffic Light Dynamic Adjustment Strategy Of Research And Design

The traffic lights is an important tool for the management of a city, in recent years, the impact of traffic lights on the road traffic flow has aroused widespread concern in the majority of scholars. Most of the current traffic signal time is set in advance, this is the static or non-dynamic timing plan, whether the traffic peak or trough, red and green light time and intervals are fixed, obviously, preset signal control strategy is not applicable in the case of traffic peak, on the contrary, it would not only decrease the traffic efficiency of vehicles but also increase the vehicles average delay in that case of trough. To solve this problem, the research on the signal timing plans mainly adopts three algorithms, including fuzzy theory, neural network and the genetic algorithm. This thesis proposes a dynamic timing plan based on the genetic algorithm, which mainly in the following two innovation points:1. In view of the current research deficiency of single indicators, this thesis adopts Multiple Indicators control strategy, research on different traffic flow indicators, including traffic flow density, delay, vehicle average speed etc.2. In view of the current control research deficiency of a single crossroad indicator, in this thesis, based on the comprehensive consideration of traffic flow indicators on multi-crossroad of a whole line, a multi-objective optimization traffic light timing plan based on genetic algorithm is presented. At last, the simulation results verify the efficiency effectiveness of this plan.