The impact of cooperative adaptive cruise control on traffic- flow characteristics

Bart van Arem; Cornelie van Driel; Ruben Visser

doi:10.1109/TITS.2006.884615

The impact of cooperative adaptive cruise control on traffic- flow characteristics

Bart van Arem, Cornelie van Driel, Ruben Visser

Research output: Contribution to journal › Article › Academic › peer-review

1273 Citations (Scopus)

3189 Downloads (Pure)

Abstract

Cooperative adaptive cruise control (CACC) is an extension of ACC. In addition to measuring the distance to a predecessor, a vehicle can also exchange information with a predecessor by wireless communication. This enables a vehicle to follow its predecessor at a closer distance under tighter control. This paper focuses on the impact of CACC on traffic-flow characteristics. It uses the traffic-flow simulation model MIXIC that was specially designed to study the impact of intelligent vehicles on traffic flow. The authors study the impacts of CACC for a highway-merging scenario from four to three lanes. The results show an improvement of traffic-flow stability and a slight increase in traffic-flow efficiency compared with the merging scenario without equipped vehicles.

Original language	Undefined
Pages (from-to)	429-436
Journal	IEEE transactions on intelligent transportation systems
Volume	7
Issue number	4
DOIs	https://doi.org/10.1109/TITS.2006.884615
Publication status	Published - 2006

Keywords

IR-58157
METIS-230582

Access to Document

10.1109/TITS.2006.884615

Arem06impact

Cite this

@article{c1124b6589dd418db0b9c60d9cb3699d,

title = "The impact of cooperative adaptive cruise control on traffic- flow characteristics",

abstract = "Cooperative adaptive cruise control (CACC) is an extension of ACC. In addition to measuring the distance to a predecessor, a vehicle can also exchange information with a predecessor by wireless communication. This enables a vehicle to follow its predecessor at a closer distance under tighter control. This paper focuses on the impact of CACC on traffic-flow characteristics. It uses the traffic-flow simulation model MIXIC that was specially designed to study the impact of intelligent vehicles on traffic flow. The authors study the impacts of CACC for a highway-merging scenario from four to three lanes. The results show an improvement of traffic-flow stability and a slight increase in traffic-flow efficiency compared with the merging scenario without equipped vehicles.",

keywords = "IR-58157, METIS-230582",

author = "{van Arem}, Bart and {van Driel}, Cornelie and Ruben Visser",

year = "2006",

doi = "10.1109/TITS.2006.884615",

language = "Undefined",

volume = "7",

pages = "429--436",

journal = "IEEE transactions on intelligent transportation systems",

issn = "1524-9050",

publisher = "IEEE",

number = "4",

}

TY - JOUR

T1 - The impact of cooperative adaptive cruise control on traffic- flow characteristics

AU - van Arem, Bart

AU - van Driel, Cornelie

AU - Visser, Ruben

PY - 2006

Y1 - 2006

N2 - Cooperative adaptive cruise control (CACC) is an extension of ACC. In addition to measuring the distance to a predecessor, a vehicle can also exchange information with a predecessor by wireless communication. This enables a vehicle to follow its predecessor at a closer distance under tighter control. This paper focuses on the impact of CACC on traffic-flow characteristics. It uses the traffic-flow simulation model MIXIC that was specially designed to study the impact of intelligent vehicles on traffic flow. The authors study the impacts of CACC for a highway-merging scenario from four to three lanes. The results show an improvement of traffic-flow stability and a slight increase in traffic-flow efficiency compared with the merging scenario without equipped vehicles.

AB - Cooperative adaptive cruise control (CACC) is an extension of ACC. In addition to measuring the distance to a predecessor, a vehicle can also exchange information with a predecessor by wireless communication. This enables a vehicle to follow its predecessor at a closer distance under tighter control. This paper focuses on the impact of CACC on traffic-flow characteristics. It uses the traffic-flow simulation model MIXIC that was specially designed to study the impact of intelligent vehicles on traffic flow. The authors study the impacts of CACC for a highway-merging scenario from four to three lanes. The results show an improvement of traffic-flow stability and a slight increase in traffic-flow efficiency compared with the merging scenario without equipped vehicles.

KW - IR-58157

KW - METIS-230582

U2 - 10.1109/TITS.2006.884615

DO - 10.1109/TITS.2006.884615

M3 - Article

SN - 1524-9050

VL - 7

SP - 429

EP - 436

JO - IEEE transactions on intelligent transportation systems

JF - IEEE transactions on intelligent transportation systems

IS - 4

ER -