WIT Press


Travel Time Predictions In Urban Networks

Price

Free (open access)

Paper DOI

10.2495/UT020381

Volume

60

Pages

10

Published

2002

Size

384 kb

Author(s)

A.G. Hobeika

Abstract

In-vehicle information, collective and individual dynamic route guidance, congestion management, and incident detection are all systems requiring predictions of short-term link travel times, Hobeika et al. (1993) were among the early researchers who provided a complete approach for predicting travel times in urban networks under incidents based on anticipatory traffic conditions. This paper extends the early work to include travel time predictions under lane(s) closure for construction and maintenance. The algorithm for lane closure relies on the real time dynamic data obtained from sensors and uses a macroscopic traffic input-output model for calculating delays and consequently travel times. The algorithm has been tested and verified using the well-known CORSIM simulation model developed by Federal Highway Administration.

Keywords