Platoon Interactions and Real-World Traffic Simulation and Validation Based on the LWR-IM

• Published in: PloS one Vol. 11; no. 1; p. e0144798
• Main Authors: Ng, Kok Mun, Reaz, Mamun Bin Ibne
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 2016; Public Library of Science (PLoS)
• Subjects: Algorithms; Cities; Computer engineering; Computer Simulation; Control algorithms; Feasibility studies; Humans; Laboratories; Macroscopic models; Models, Theoretical; Motor Vehicles; Null hypothesis; Performance indices; Queues; Reproducibility of Results; Roads & highways; Simulation; Traffic; Traffic control; Traffic flow; Traffic models; Transportation planning; Vehicles; Velocity
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0144798

Platoon based traffic flow models form the underlying theoretical framework in traffic simulation tools. They are essentially important in facilitating efficient performance calculation and evaluation in urban traffic networks. For this purpose, a new platoon-based macroscopic model called the LWR-IM has been developed in [1]. Preliminary analytical validation conducted previously has proven the feasibility of the model. In this paper, the LWR-IM is further enhanced with algorithms that describe platoon interactions in urban arterials. The LWR-IM and the proposed platoon interaction algorithms are implemented in the real-world class I and class II urban arterials. Another purpose of the work is to perform quantitative validation to investigate the validity and ability of the LWR-IM and its underlying algorithms to describe platoon interactions and simulate performance indices that closely resemble the real traffic situations. The quantitative validation of the LWR-IM is achieved by performing a two-sampled t-test on queues simulated by the LWR-IM and real queues observed at these real-world locations. The results reveal insignificant differences of simulated queues with real queues where the p-values produced concluded that the null hypothesis cannot be rejected. Thus, the quantitative validation further proved the validity of the LWR-IM and the embedded platoon interactions algorithm for the intended purpose.