Short term prediction works in traffic engineering : the state-of-the-art.

Auteur(s)
Wang, R. & Nakamura, H.
Jaar
Samenvatting

In order to alleviate the worsening expressway congestion problem, dynamic traffic management (DTM) has aroused a lot of attention. Travel time provision, as an important ingredient of DTM and especially in the context of advance traveler information systems (ATIS), has become a common practice in many countries. Various technologies applying different sources of traffic data to estimate/predict travel time with high accuracy have been developed. This paper presents a state-of-the-art survey of traffic engineering related applications in prediction. The purpose of the paper is to provide: (1) a synthesis of published research in this area; (2) insights on prediction issues; and (3) the future research directions.

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Publicatie

Bibliotheeknummer
C 31659 (In: C 31321 CD-ROM) /72 / ITRD E826420
Uitgave

In: ITS - enriching our lives : proceedings of the 9th World Congress on Intelligent Transportation Systems ITS, Chicago, Illinois, October 14-17, 2002, 12 p.

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