Allocation of Link Flow Detectors for Origin-Destination Matrix Estimation—A Comparative Study

Abstract

Origin-destination (OD) matrices are essential for various analyses in the field of traffic planning, and they are often estimated from link flow observations. We compare strategies for allocating link flow detectors to a traffic network with respect to the quality of the estimated OD-matrix.First, an overview of allocation strategies proposed in the literature is presented. Second, we give an experimental environment where any allocation strategy can be evaluated, and compared to others, in terms of the quality of the estimated ODmatrix. Third, this environment is used to evaluate and compare three known allocation strategies. Studies are made on the Sioux Falls network and on a network modelling the city of Linköping. Our conclusion is, that the most commonly studied approach for detector allocation, the OD-pair coverage strategy, seems to be unfavourable for the quality of the estimated OD-matrix.

Traffic Responsive Control of Intersections with Predicted Arrival Times: A Markovian Approach

“…() and Larsson et al. (), among others, have developed procedures to efficiently estimate origin‐destination matrices.…”

Exploring Link Covering and Node Covering Formulations of Detection Layout Problem

“…194 Barceló, Guilliéron, Linares, Serch, Montero Variants of these formulations can be found in Yang's paper [12]. An analysis of the 195 advantages and disadvantages of these formulations in terms of the quality of the adjusted OD 196 matrix can be found in the paper by Larsson et al [13]. 197 198 A common drawback of these formulations is that they require a complete enumeration of all 199 paths between all OD pairs in the road network, which leads to a problem in which the size 200 grows exponentially with the size of the network.…”

Two Methods to Calibrate the Total Travel Demand and Variability for a Regional Traffic Network

“…An additional contribution of this research addresses the issue of low coverage rate or failure of loop detectors, which can lead to error in observed link flows (Zhou and List, 2010). One way to mitigate the low coverage rate issue was investigated by various sensor location problem models (Gan et al, 2005;Ehlert et al, 2006;Yang et al, 2006;Larsson et al, 2010;Gentili and Mirchandani, 2012). In this work, sensitivity analysis is conducted to demonstrate the model's robustness against varying levels of detector error.…”