Macro modelling of traffic flow using continuous timed Petri nets. Issue 5 (4th July 2021)

• Record Type: Journal Article
• Authors: Ferreira, Cláudia; Neves, Luís Canhoto
• Is Part Of: Transportation planning and technology. Volume 44:Issue 5(2021)
• Page Start: 503
• Page End: 523
• Publication Date: 2021-07-04
• Subjects: Continuous timed Petri nets -- Freeway traffic -- Hybrid model -- Simulation -- Calibration -- Validation -- Application; Transportation -- Periodicals; Transportation -- Research -- Periodicals; Local transit -- Periodicals; Transportation and state -- Periodicals; 388
• DOI: 10.1080/03081060.2021.1927304
• Languages: English
• ISSNs: 0308-1060

Abstract

ABSTRACT: In this paper, continuous timed Petri nets (CTPN) are used to develop a hybrid traffic model, where the network is modelled as a macroscopic model and calibrated by microscopic models. The concept of CTPN is used to build a modular model, where first the highway traffic system is decomposed into several systems, based on structural entities (highway segment, on- and off-ramp links), which are coalesced into a complete model. The result is a light, versatile and easily scalable stochastic model for traffic flow. The calibration and validation of the traffic model is performed through the comparison of basic traffic parameters (flow rate, density, and mean speed) obtained through the traffic model implemented and the commercial micro-modelling software, Aimsun, for part of Portugal's highway network. The results show that the proposed methodology results in a good trade-off between accuracy, simplicity, and computational cost.