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Optimal Lane Management in Heterogeneous Traffic Network Using Extremum Seeking Approach
Technical Paper
2020-01-0086
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper is focused on modeling and control of a heterogeneous traffic network consisting of human-driven and autonomous vehicles. In this paper, we consider the autonomous vehicles as controllable agents while the human-driven vehicles are considered as rational but non-controllable agents. The fundamental traffic diagram for such heterogeneous traffic networks is developed wherein the capacity and jam density of the road is determined as a function of the penetration rate and the headways of autonomous and human-driven vehicles. A cost function is defined to maximize the average flow-rate within the network. Considering the rationality of the human-driven vehicles as well as the controllability of the autonomous vehicles, a series of constraints are imposed on the cost function. We employed an extremum seeking control approach to determine the optimal flow-rate between the sub-networks so that the mobility of the network improves. Numerical simulation demonstrates the effectiveness of the proposed approach in managing the traffic flow of a heterogeneous system.
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Citation
Karimi Shahri, P., Ghasemi, A., and Izadi, V., "Optimal Lane Management in Heterogeneous Traffic Network Using Extremum Seeking Approach," SAE Technical Paper 2020-01-0086, 2020, https://doi.org/10.4271/2020-01-0086.Also In
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