Microsimulation-Based Framework for Freeway Travel Time Forecasting

Abstract

This paper presents a microsimulation-based framework for generating short-term forecasts of travel time on freeway corridors. The microsimulation model that was developed replicated freeway capacity drop and relaxation phenomena critical for modeling non–steady state conditions. This framework was evaluated offline on a real-world freeway corridor by using data from manual counts and the Georgia Department of Transportation's video detection system. The travel time forecasts were compared with ground truth travel time data; the comparison demonstrated the efficacy of this framework to produce realistic forecasts.

A Kind of Urban Road Travel Time Forecasting Model with Loop Detectors

“…Shao et al give the method of real-time travel time forecasting based on the improved Kalman filter [8]. Chilukuri et al forecast the short travel time of the highway by using microsimulation technique [9]. Yao and Zhang give the short-term forecasting algorithm of interval travel time for urban freeway by analyzing the floating car data, which provides the basis for the subsection forecast of the travel time [10].…”