Traffic Wave Properties for Automated Vehicles During Traffic Oscillations via Analytical Approximations

Fuente: arXiv
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Main Authors: Zhou, Yang, Li, Sixu, Kontar, Wissam, Pu, Fan, Srivastava, Anupam, Ahn, Soyoung
Format: Preprint
Published: 2024
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_version_ 1866913585530142720
author Zhou, Yang
Li, Sixu
Kontar, Wissam
Pu, Fan
Srivastava, Anupam
Ahn, Soyoung
author_facet Zhou, Yang
Li, Sixu
Kontar, Wissam
Pu, Fan
Srivastava, Anupam
Ahn, Soyoung
contents This paper presents an analytical approximation framework to understand the dynamics of traffic wave propagation for Automated Vehicles (AVs) during traffic oscillations. The framework systematically unravels the intricate relationships between the longitudinal control model of the AVs and the properties of traffic waves. We apply Laplacian Transformation and Describing Function Analysis to mathematically derive the traffic wave properties of an AV in car-following scenarios. Further, we incorporate Newell's car-following model to determine the speed of the traffic waves. Our analysis extends to both homogenous and heterogenous traffic, systematically handling intra-heterogeneities and inter-heterogeneities in traffic wave propagation using the established analytical framework. We validate our approach via numerical simulations and show the connections between the AV control system and traffic wave properties. This research emphasizes the importance of rethinking our understanding of traffic wave properties when AVs are present in the traffic system.
format Preprint
id arxiv_https___arxiv_org_abs_2411_16937
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Traffic Wave Properties for Automated Vehicles During Traffic Oscillations via Analytical Approximations
Zhou, Yang
Li, Sixu
Kontar, Wissam
Pu, Fan
Srivastava, Anupam
Ahn, Soyoung
Systems and Control
This paper presents an analytical approximation framework to understand the dynamics of traffic wave propagation for Automated Vehicles (AVs) during traffic oscillations. The framework systematically unravels the intricate relationships between the longitudinal control model of the AVs and the properties of traffic waves. We apply Laplacian Transformation and Describing Function Analysis to mathematically derive the traffic wave properties of an AV in car-following scenarios. Further, we incorporate Newell's car-following model to determine the speed of the traffic waves. Our analysis extends to both homogenous and heterogenous traffic, systematically handling intra-heterogeneities and inter-heterogeneities in traffic wave propagation using the established analytical framework. We validate our approach via numerical simulations and show the connections between the AV control system and traffic wave properties. This research emphasizes the importance of rethinking our understanding of traffic wave properties when AVs are present in the traffic system.
title Traffic Wave Properties for Automated Vehicles During Traffic Oscillations via Analytical Approximations
topic Systems and Control
url https://arxiv.org/abs/2411.16937