The problem of determining the local density of road traffic using the technology of short-range radio communication of DSRC class is considered. An algorithm for calculating quantitative criteria, allowing, among other things, to detect a traffic jam situation is proposed. The significant difference of the proposed approach consists in the local analysis of the flow density around each vehicle, but in classical models the detection of traffic congestion is based on the macroscopic indicators of the flow. The mathematical model for solving the problem, a description and results of an experiment based on the traffic simulator Simulation of Urban Mobility are presented. The practical significance of the obtained result is in the fact that this indicator can be successfully used to assess the current traffic situation when global traffic information is not available for each vehicle, but it is possible to obtain local information about the movement of nearby vehicles.
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Research Article| October 13 2022
Traffic jam detection model based on DSRC technology
AIP Conf. Proc. 2503, 050016 (2022)
D. G. Chkalova; Traffic jam detection model based on DSRC technology. AIP Conf. Proc. 13 October 2022; 2503 (1): 050016. https://doi.org/10.1063/5.0099384
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