Name
Title | ||
|---|---|---|
Modelling and simulation of highly mixed traffic flow on two-lane two-way urban streets |
Abstract | ||
|---|---|---|
Two-lane two-way urban streets play a significant role in the transportation system. Due to the high mixture of traffic flow, few models are capable of describing the complex interaction with multiple types of agents involved. This paper proposes a Strategy Selection and Transition (SSAT) model formulated as a hierarchical ‘Motivation-Decision-Action’ framework. The motivation layer uses the Risk-Motion-Field to select a driving strategy as the driving intention. Then, the decision layer dynamically adjusts the intention through the strategy transition embodied in a well-defined Finite-State Machine. Finally, in the action layer, a set of corresponding operational models specify the decided behavior into control parameters. As per our numerical test, SSAT model outperforms VISSIM and TransModeler, which are two widely-used simulation software, at the macroscopic level. Besides, overtaking-distance ratio and trajectory distribution replicate the evidence of the highly mixed traffic flow. In addition, the case study is also satisfactory. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.simpat.2019.04.005 | Simulation Modelling Practice and Theory |
Keywords | Field | DocType |
Two-lane two-way street,Traffic simulation,Mixed traffic flow,Risk field theory,Finite-state machine | Numerical tests,Simulation software,Traffic flow,Computer science,VisSim,Control engineering,Trajectory,Replicate | Journal |
Volume | ISSN | Citations |
95 | 1569-190X | 1 |
PageRank | References | Authors |
0.43 | 0 | 3 |