NDLI: Flow-Based Freeway Travel-Time Estimation: A Comparative Evaluation Within Dynamic Path Loading

Content Provider	IEEE Xplore Digital Library
Author	Celikoglu, H.B.
Copyright Year	2000
Abstract	This paper investigates the performance of a flow model in providing efficient travel-time estimation for varying flow patterns of freeway traffic by adopting a two-phase fundamental diagram. The model follows a discrete-packet-based mesoscopic simulation approach that explicitly considers both the anisotropic property of traffic flow in packet state updating and the uniform speed differentiation of vehicle packets at each discrete time step. The measure of travel time is obtained as a link performance resulting from a simplified dynamic network loading process. The spatiotemporal flow propagation on a selected freeway segment is simulated comparatively by incorporating both the proposed model and a linear-travel-time-function-based link performance model. Performance of the flow model in travel-time estimation is sought, considering actual measures obtained by a probe vehicle. The main improvement on estimating the travel-time process is that the employed model considers different speed and acceleration levels on different discrete time intervals and satisfies the anisotropy property by consistently simulating flow propagation within the dynamic network modeling frame. In contrast to the vast data need and computational burden of trajectory-based methods, the employed flow-based model requires only the time-varying inflow profiles to estimate spatially and temporally varying travel times by artificially segmenting freeway routes.
Sponsorship	IEEE Intelligent Transportation Systems Society
Starting Page	772
Ending Page	781
Page Count	10
File Size	542594
File Format	PDF
ISSN	15249050
Volume Number	14
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Estimation Vehicle dynamics Load modeling Traffic control Data models Time measurement travel time Simulation traffic flow
Content Type	Text
Resource Type	Article
Subject	Automotive Engineering Mechanical Engineering Computer Science Applications

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