ESTIMATION OF REAL-TIME ORIGIN-DESTINATION FLOW USING MOBILE SENSOR NETWORK

摘要

This paper proposes an analytical framework to deal with dynamic O-D estimation under the environment of mobile sensor network. With route travel information for each O-D pair and link traffic counts data, a Kalman Filter-based O-D estimation approach is proposed to bypass traffic assignment matrix. To this end, this paper exploits real-time route travel time information captured by both Bluetooth-based sensing technology and roadway traffic counts information by high resolution microwave sensors being deployed for real-time work zone monitoring system in New Jersey, USA. The proposed dynamic O-D estimation framework will be applied for the implementation of work zone management system to estimate and predict alternative routes for work zone area.