REAL-TIME ORIGIN-DESTINATION ESTIMATION USING AUTOMATIC VEHICLE IDENTIFICATION DATA

Michael P. Dixon · Laurence R. Rilett

23 citations0/0 files stored

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Transportation Planning and Optimization Traffic control and management Traffic Prediction and Management Techniques

Abstract

This paper proposes several methods for incorporating AVI data and link volumes to estimate OD volumes in real-time. Sixteen cases are presented using different combinations of information considering link volumes, historical dynamic OD information, observed link choice proportions, and link choice proportions estimated using aggregate link travel times. The cases are evaluated to establish the relative benefits of the different combinations of information. All of the cases were evaluated using true AVI OD data collected from the I-10 corridor in Houston, Texas

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 23 citations exist upstream.

Cited by

2009Distributed Approach for Estimation of Dynamic Origin–Destination Demand 2015Flow-Based and Density-Based Time-Dependent Demand Estimation for Congested Urban Transportation Networks

Imported from OpenAlex (CC0) — nothing here is generated.