Examining the Quality of Synthetic Origin–Destination Trip Table Estimated by Path Flow Estimator
نویسندگان
چکیده
Path flow estimator ~PFE! is a one-stage network observer proposed in the transportation literature to estimate path flows and path travel times from traffic counts in a transportation network. The estimated path flows can further be aggregated to obtain the origin–destination sO–Dd flows, which are usually required in many transportation applications. In this paper, we examine the capability of PFE in capturing the total demand of the study network as well as individual O–D demands. Numerical examples are provided to show the effects of the number and locations of traffic counts on the quality of O–D estimates. The results indicate that PFE has the potential to correctly estimate the total demand when proper observations, in terms of the number and their locations, are provided. In general, the spatial distribution of O–D demands is difficult to estimate even when traffic counts are available on all network links. DOI: 10.1061/~ASCE!0733-947X~2005!131:7~506! CE Database subject headings: Transportation networks; Traffic analysis; Trip distribution; Traffic assignment; Simulation models.
منابع مشابه
Strategies for Selecting Additional Traffic Counts for Improving O-d Trip Table Estimation
Traditional traffic counting location (TCL) problem is to determine the number and locations of counting stations that would best cover the network for the purpose of estimating origin-destination (O-D) trip tables. It is well noted that the quality of the estimated O-D trip table depends on the estimation methods, an appropriate set of links with traffic counts, and the quality of the traffic ...
متن کاملA maximum entropy-least squares estimator for elastic origin- destination trip matrix estimation
It is well known that the origin-destination (O-D) flow table of a subnetwork is not only determined by trip generation and distribution, but also by traffic routing and diversion, due to the existence of internal-external, external-internal and externalexternal flows. This result indicates the variable nature of subnetwork O-D flows. This paper discusses an elastic O-D flow table estimation pr...
متن کاملInferring origin–destination trip matrices with a decoupled GLS path flow estimator
Recently, path flow estimators (PFE) have been used for the estimation of origin–destination (O–D) matrices. This paper develops a formulation that incorporates a decoupled path flow estimator in a generalized least squares (GLS) framework. The approach seeks to solve a GLS problem that minimizes the sum of errors in traffic counts and O–D matrices based on an equilibrium assignment mapping der...
متن کاملCompressive Origin-Destination Estimation
The paper presents an approach to estimate OriginDestination (OD) flows and their path splits, based on traffic counts on links in the network. The approach called Compressive Origin-Destination Estimation (CODE) is inspired by Compressive Sensing (CS) techniques. Even though the estimation problem is underdetermined, CODE recovers the unknown variables exactly when the number of alternative pa...
متن کاملOrigin Destination Disaggregation Using Fratar Biproportional Least Squares Estimation for Truck Forecasting
This working paper describes a group of techniques for disaggregating origin-destination tables for truck forecasting that makes explicit use of observed traffic on a network. Six models within the group are presented, each of which uses nonlinear least-squares estimation to obtain row and column factors for splitting trip totals from and to larger geographical areas into smaller ones. The tech...
متن کامل