Abstract:

Aiming at the problem that the existing mesoscopic simulation models only convert buses into several standard vehicles and ignore the movement difference between buses and vehicles, a mesoscopic simulation model of mixed traffic flow is proposed. In the process of road driving, on the one aspect, we consider the feature that bus speed is usually lower than vehicle speed, and correspondingly establish the reduction function of bus speed; on the other aspect, we consider the influences of bus-station queue overflow on the adjacent lanes, and correspondingly construct the lane-based speed model of mixed flow.Moreover, we use the point queuing model to describe the processes of station stop and intersection queuing. The individual-based data from vehicle identity recognition to calibrate the model parameters is introduced. The experimental results show that the mean absolute percentage errors of link travel time simulation of buses and vehicles are respectively less than 4.55% and 8.20%, the proposed model has good simulation accuracy and can effectively simulate the bus-station overflow scenarios.

Key words: urban transportation, mesoscopic traffic simulation, mixed traffic flow, bus, vehicle particle, swarm optimization