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Multiagent Routing Simulation with Partial Smart Vehicles Penetration

Comms. schema in proposed Traffic Mgmt Systems (TMS), with Traffic Mgmt Center (TMC), Road Side Units (RSUs), and In-vehicle On-Board Units (OBUs)

Figure: Communication schema in proposed Traffic Management Systems (TMS), with Traffic Management Center (TMC), Road Side Units (RSUs), and In-vehicle On-Board Units (OBUs)

Summary

The invention and implementation of smart connected cars will change the way how the transportation networks in cities around the world operate. This technological shift will not happen instantaneously—for many years, both human-driven and smart connected vehicles will coexist. In this paper, using a multiagent simulation framework, we model a complex urban transportation system that involves heterogeneous participants. Vehicles are assigned into two groups: the first one consists of smart cars and the second one involves regular ones. Vehicles in the former group are capable of rerouting in response to changes in the observed traffic while regular ones rely on historical information only. The goal of the paper is to analyze the effect of changing smart cars penetration on system characteristics, in particular, the total travelling time. The smart car routing algorithm proposed in this paper reduced travelling time up to 30%. Analysis has shown that the behaviour of the system and optimal configuration of underlying algorithms change dynamically with smart vehicles penetration level.

Keywords

Vehicular networks, multi-agent simulation, smart cars routing

Impact Factor: 1.670

Publication date: March 3, 2020

Links

References

APA Kamiński, B., Kraiński, Ł., Mashatan, A., Prałat, P., & Szufel, P. (2020). Multiagent Routing Simulation with Partial Smart Vehicles Penetration. Journal of Advanced Transportation2020, 1–11.
BibTeX @article{Kaminski2020MultiagentRS,
title={Multiagent Routing Simulation with Partial Smart Vehicles Penetration},
author={Bogumil Kaminski and Łukasz Kraiński and Atefeh Mashatan and Pawel Pralat and Przemyslaw Szufel},
journal={Journal of Advanced Transportation},
year={2020},
volume={2020},
pages={1-11} }
DOI https://doi.org/10.1155/2020/3152020
IEEE B. Kamiński, Ł. Kraiński, A. Mashatan, P. Prałat, and P. Szufel, “Multiagent Routing Simulation with Partial Smart Vehicles Penetration,” Journal of Advanced Transportation, vol. 2020, pp. 1-11, March 3, 2020.
ISSN 2042-3195 (Online)
0197-6729 (Print)

Funding