Modeling Traffic Flow With Hybrid Petri Net

Abstract With the development of the economics, the rapid growth of householdvehicles amount and growth of urban transportation systems demands, trafficproblem becomes more and more serious. Accurate traffic flow forecasting andhighly effective traffic control can solve this question effectively. They canreduce not only the cost of a journey execution, but also the environmentalpollution, economic loss brought by traffic problem. Traffic flow forecastingand traffic control need accurate and effective traffic model as foundation.Traditional traffic flow models are not to be able to adapt the situation thattransportation system is getting more and more complex, and they cannot fullyrepresent the hybrid characteristic of transportation system. In this thesis,hybrid Petri net was applied in transportation system modelling. In this thesis hybrid characteristics of transportation system was analyzed,and traffic flow modelling using Hybrid Petri Net was proposed, main studiescontent and research results are as follows: 1. Traffic flows of single road was studied. There are two kinds of roads:road with ramps and road without ramps. Every single road is divided into Nsections, and traffic attribute in every section are the same. And for the roadwith ramps there are only one on-ramp and one off-ramp. Then in this thesistwo models was introduced: hybrid Petri net model of traffic flow of singleroad without ramps and hybrid Petri net model of traffic flow of single roadwith ramps, finally a model parameter modify algorithm is presented for thetwo models. 2. Two-phase and four-phase traffic light of intersection was studied, andtheir Timed Petri net models were presented. Traffic flow of intersection wasanalyzed, and a Hybrid Petri Net model for traffic flow under four-phasetraffic signal control was accessed, finally the model running process wasanalyzed. Hybrid Petri Net models of single road traffic flow and intersectiontraffic flow make a contribution to traffic flow forecasting and traffic flowcontrol in theory and application.