Work

A Metaheuristic Dynamic Traffic Assignment Model for O-D Matrix Estimation using Aggregate Data

Year: 2012

Type: conference-paper

Abstract: For a static/dynamic O-D matrix estimation, usually, the basic required information is a starting estimation of O-D matrix and a set of traffic counts. In the era of the Intelligent Transportation Systems, a dynamic estimation of traffic demand has become a crucial issue. Different Dynamic Traffic Assignment (DTA) models have been proposed, used also for O-D matrices estimation. This paper presents a dynamic O-D demand estimator, using a novel simulation-based DTA algorithm. The core of the proposed algorithm is a mesoscopic dynamic network loading model used in conjunction with a Bee Colony Optimization (BCO). The BCO is capable to solve high level combinatorial problems with fast convergence performances, allowing to overcome classical demand-flow relationships drawbacks.

Source: Procedia - Social and Behavioral Sciences

DOI: 10.1016/j.sbspro.2012.09.786

Authors: Leonardo Caggiani, Mauro Dell’Orco, Mario Marinelli, Michele Ottomanelli

Institution: Polytechnic University of Bari

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W2040930508

FWCI: 3.205

Cites: 34

Cited by: 16

Related to: 10