Research On The Interference Theory Of Vehicle-bicycle At Signalized Intersections

Mixed traffic flow is the main characteristic of most cities in China.The interference problem of vehicle-bicycle at signalized intersectionsreduce the traffic capacity and safe severely, highlights for the declineof traffic capacity, the increase of delay and the frequency of accidentsrise. So, how to increase the traffic capacity of signalized intersections,improve the intersection traffic operation order, reduce the interferenceof vehicle-bicycle, is one of the hot and focus issue of the current trafficresearch in our country. This paper research on the interference theory ofvehicle-bicycle at signalized intersections, establish mathematics modelsof the interference of vehicle-bicycle, In order to provide the theory basisof improve the efficiency of the intersection traffic and transportationmanagement.Combined with the domestic experts relevant research and authoritydescription in this paper, defines the relevant concepts of the interferenceof vehicle-bicycle, then describe the run characteristics of bicycles andvehicles, and proposes the interference characteristic. By analyzing thedistribution of interference characteristics of two phase and three phasesignalized intersection, then research the time distribution and spacedistribution of the interference, and obtain three interferencecharacteristics of mixed traffic flow at intersections; the randomness,extensibility and space-time of interferential distribution.By analyzing measured data in this paper, and obtain bicycle arrivingnumber during10s submit to the negative binomial distribution, bicyclespeed submit to normal distribution, right turn motor vehicle speed submitto normal distribution, right turn motor vehicle discharge headway submitto negative exponent distribution. By analyzing the behaviors trait of straight bicycle and right turn motorvehicle at intersections, then research their interferential influence andresponse, last use the SPSS software analysis the measured data, and obtainstraight bicycles interference response model and right turn motor vehiclesinterference response model. Two models were proved to be correctly, theycan be used to explain and predict the variable relationship betweenvariables; they also can be the theory basis of the optimized simulationsystem.