Details:

Creators:
Dion, Francois ; Rakha, Hesham
Dion, Francois ; Rakha, Hesham Less -
Corporate Contributors:
Virginia Polytechnic Institute and State University. Transportation Institute ; Virginia. Dept. of Transportation ; National ITS Implementation Research Center (Va.)
Virginia Polytechnic Institute and State University. Transportation Institute ; Virginia. Dept. of Transportation ; National ITS Implementation Research Center (Va.) Less -
Subject/TRT Terms:
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Traffic conditions
Advanced Traveler Information Systems
Algorithms
Automatic Vehicle Identification
Estimating
Real Time Information
Travel Time
Validity

Resource Type:
Research Paper
NTL Classification:
NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS
Abstract:
Prepared ca. 2001. The paper describes an algorithm that was developed for estimating reliable and accurate average roadway link travel times using Automatic Vehicle Identification (AVI) data. The algorithm presented is unique in two aspects. First, it is designed to handle both steady state (mean constant) and transient (varying mean) traffic conditions. In particular, the algorithm is able to track not only travel time fluctuations that are caused by recurring congestion, but also sudden changes in roadway travel times that may result from incident or other non-recurring events. Second, the algorithm can be successfully applied on segments with low levels of AVI penetration (less than 1 percent). The algorithm estimates link travel times using a robust datafiltering procedure that identifies valid observations within a sampling interval using a dynamically varying

data validity window. The size of the data validity window varies as a function of the number of observations within the current sampling interval, the number of observations in the previous interval, the

number of consecutive observations outside the current validity window limits, and the travel times experienced by consecutive vehicles. Application of the algorithm to two datasets of observed travel times from the San Antonio AVI system demonstrates the validity of the proposed algorithm, and in particular, its

ability to track typical and sudden travel time changes in presence of low sampling rates.


Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:a2e4db4a142acf69153a154c67c2ee09ecc1552131d92e6cc00e8eefdfeaafbc
File Type:

Supporting Files

• No Additional Files

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