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A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management

Li, Duo and Wagner, Peter (2020) A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management. Sensors, 20 (6), pp. 1-13. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/s20061757. ISSN 1424-8220.

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Official URL: https://www.mdpi.com/1424-8220/20/6/1757/htm

Abstract

Freeway traffic management and control often rely on input from fixed-point sensors. A sufficiently high sensor density is required to ensure data reliability and accuracy, which results in high installation and maintenance costs. Moreover, fixed-point sensors encounter difficulties to provide spatiotemporally and wide-ranging information due to the limited observable area. This research exploits the utilization of connected automated vehicles (CAVs) as an alternative data source for freeway traffic management. To handle inherent uncertainty associated with CAV data, we develop an interval type 2 fuzzy logic-based variable speed limit (VSL) system for mixed traffic. The simulation results demonstrate that when more 10% CAVs are deployed, the performance of the proposed CAV-based system can approach that of the detector-based system. It is demonstrated in addition that the introduction of CAVs may make VSL obsolete at very high CAV-equipment rates.

Item URL in elib:https://elib.dlr.de/135924/
Document Type:Article
Title:A Novel Approach for Mixed Manual/Connected Automated Freeway Traffic Management
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Li, Duoduoli0725 (at) gmail.comhttps://orcid.org/0000-0003-0142-9290
Wagner, PeterPeter.Wagner (at) dlr.dehttps://orcid.org/0000-0001-9097-8026
Date:22 March 2020
Journal or Publication Title:Sensors
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:20
DOI :10.3390/s20061757
Page Range:pp. 1-13
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:1424-8220
Status:Published
Keywords:connected vehicle; freeway traffic control; type-2 fuzzy logic
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - D.MoVe
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems
Deposited By: Wagner, Dr. Peter
Deposited On:07 Sep 2020 14:15
Last Modified:16 Sep 2020 08:35

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