TY - GEN
T1 - Determination of network origin-destination demands using limited link trffic counts
AU - Hu, Shou-Ren
AU - Wang, Chang Ming
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Making valid inferences about network origin-destination (OD) demands from limited link traffic count data requires a carefully structured data collection strategy. Determination of the required number of vehicle detectors (VDs) and their installation in strategic locations for OD estimation purpose is essentially a network location problem. In the present research, an integer programming framework based on the user equilibrium assumption was developed to determine the most desirable locations for the deployment of vehicle detectors. The proposed models were evaluated under a simplified transportation network and hypothetical OD demands. Numerical results indicate that the proposed mathematical programming model framework is able to find the critical VD deployment locations for OD demand estimation purpose under limited budgetary resources. These findings can beneficially contribute to the preparation of a desirable vehicle detector deployment plan in a general transportation network.
AB - Making valid inferences about network origin-destination (OD) demands from limited link traffic count data requires a carefully structured data collection strategy. Determination of the required number of vehicle detectors (VDs) and their installation in strategic locations for OD estimation purpose is essentially a network location problem. In the present research, an integer programming framework based on the user equilibrium assumption was developed to determine the most desirable locations for the deployment of vehicle detectors. The proposed models were evaluated under a simplified transportation network and hypothetical OD demands. Numerical results indicate that the proposed mathematical programming model framework is able to find the critical VD deployment locations for OD demand estimation purpose under limited budgetary resources. These findings can beneficially contribute to the preparation of a desirable vehicle detector deployment plan in a general transportation network.
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M3 - Conference contribution
AN - SCOPUS:84893680321
SN - 9781617387777
T3 - 14th World Congress on Intelligent Transport Systems, ITS 2007
SP - 3028
EP - 3039
BT - 14th World Congress on Intelligent Transport Systems, ITS 2007
T2 - 14th World Congress on Intelligent Transport Systems, ITS 2007
Y2 - 9 October 2007 through 13 October 2007
ER -