Travel Time Predictions In Urban Networks
Price
Free (open access)
Transaction
Volume
60
Pages
10
Published
2002
Size
384 kb
Paper DOI
10.2495/UT020381
Copyright
WIT Press
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