Published January 1, 2016
| Version v1
Journal article
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Bee Colony Optimization for innovative travel time estimation, based on a mesoscopic traffic assignment model
- 1. Tech Univ Bari, DICATECh, Via Orabona 4, I-70125 Bari, Italy
- 2. Tech Univ Istanbul, Inst Sci & Technol, Ayazaga Campus, TR-34469 Istanbul, Turkey
Description
In this article, we propose a framework for travel time prediction based on a time-discrete, mesoscopic traffic flow model, in which the measure of travel time is obtained as a link performance resulting from a dynamic network loading process. The spatiotemporal flow propagation on the road network is simulated incorporating the mesoscopic model and a linear link performance model, based on a travel time function. Acceleration levels are calculated explicitly, as a result of a fixed point problem. The traffic assignment to the network has been carried out through a completely new model, based on the Bee Colony Optimization (BCO) metaheuristics. In comparison with results of simulations carried out by using another mesoscopic model (DYNASMART), the travel times obtained with the proposed method appear more realistic. (C) 2015 Elsevier Ltd. All rights reserved.
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