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Title:

A Rigorous Multi-Population Multi-lane Hybrid Traffic Model and its Mean-field Limit for Dissipation of Waves via Autonomous Vehicles.

Accession Number:

01764028

Record Type:

Component

Abstract:

In this paper, a multi-lane multi-population microscopic model, which presents stop and go waves, is proposed to simulate traffic on a ring-road. Vehicles are divided between human-driven and autonomous vehicles (AV). Control strategies are designed with the ultimate goal of using a small number of AVs (less than 5\% penetration rate) to represent Lagrangian control actuators that can smooth the multilane traffic flow and dissipate the stop-and-go waves. This in turn may reduce fuel consumption and emissions.The lane-changing mechanism is based on three components that the authors treat as parameters in the model: safety, incentive and cool-down time. The choice of these parameters in the lane-change mechanism is critical to modeling traffic accurately, because different parameter values can lead to drastically different traffic behaviors. In particular, the number of lane-changes and the speed variance are highly affected by the choice of parameters.Despite this modeling issue, when using sufficiently simple and robust controllers for AVs, the stabilization of uniform flow steady-state is effective for any realistic value of the parameters, and ultimately bypasses the observed modeling issue. The authors' approach is based on accurate and rigorous mathematical models, which allows a limit procedure that is termed, in gas dynamic terminology, mean-field. In simple words, from increasing the human-driven population to infinity, a system of coupled ordinary and partial differential equations are obtained. Moreover, control problems also pass to the limit, allowing the design to be tackled at different scales.

Supplemental Notes:

This paper was sponsored by TRB committee ACP80 Standing Committee on Traffic Simulation Committee.

Report/Paper Numbers:

TRBAM-21-01858

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Kardous, Nicolas
Hayat, Amaury
McQuade, Sean T
Gong, Xiaoqian
Truong, Sydney
Arnold, Paige
Bayen, Alexandre M
Piccoli, Benedetto

Pagination:

17p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Web

Features:

Figures; References; Tables

Subject Areas:

Highways; Operations and Traffic Management; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-01858

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:18AM