Traffic Analysis and OD Travel Time Matrix Based on Two-Fluid Model

Abstract

The traditional four-step traffic demand forecast model is limited by the long processing time and high cost of origin destination (OD) matrix investigation. A dynamic traffic assignment model is difficult to establish for a large-scale network. To obtain the traffic character and quickly search the shortest path of different zones for dynamic route guidance, the authors analyze travel distance and travel time using taxi global positioning system (GPS) data, fit the travel time and stop time relation curve, and propose a method of traffic analysis using the two-fluid curve. The authors find that the bandwidth of the two-fluid curves is valuable for traffic operation and guidance. Subsequently, the authors analyze the relationship between unit distance travel time and unit distance stop time of different zones. The results verify that the sensitivity of different traffic zones varies. Finally, matrix iteration is used to calculate the shortest travel time path under different unit distance stop times, and the OD travel time matrix is analyzed. The findings indicate that the two-fluid method can be used for dynamic route guidance.