Samenvatting
Advanced Traveler Information Systems (ATIS) are integral components of Intelligent Transportation Systems (ITS). These systems are aimed at providing transportation system users with pre-trip or en-route travel information, thereby allowing travelers to make informed decisions about their travel choices. Most urban travel occurs on freeways; hence, the accurate prediction of travel time over freeway networks has become necessary. In orderto develop benchmarks for improved travel time estimates in the Portland,Oregon (USA) metropolitan region, the objective of this paper is to evaluate several travel time algorithms using archived loop detector data and ground truth (probe vehicle) data. For the covering abstract see ITRD E134653.