Standard

Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks. / Xiao, Lin; Wang, Meng; Schakel, Wouter; van Arem, Bart.

In: Transportation Research Part C: Emerging Technologies, Vol. 96, 01.11.2018, p. 380-397.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

BibTeX

@article{f228ab63c4204d71a6433fab728aa829,
title = "Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks",
abstract = "Cooperative Adaptive Cruise Control (CACC) systems have the potential to increase roadway capacity and mitigate traffic congestion thanks to the short following distance enabled by inter-vehicle communication. However, due to limitations in acceleration and deceleration capabilities of CACC systems, deactivation and switch to ACC or human-driven mode will take place when conditions are outside the operational design domain. Given the lack of elaborate models on this interaction, existing CACC traffic flow models have not yet been able to reproduce realistic CACC vehicle behaviour and pay little attention to the influence of system deactivation on traffic flow at bottlenecks. This study aims to gain insights into the influence of CACC on highway operations at merging bottlenecks by using a realistic CACC model that captures driver-system interactions and string length limits. We conduct systematic traffic simulations for various CACC market penetration rates (MPR) to derive free-flow capacity and queue discharge rate of the merging section and compare these to the capacity of a homogeneous pipeline section. The results show that an increased CACC MPR can indeed increase the roadway capacity. However, the resulting capacity in the merging bottleneck is much lower than the pipeline capacity and capacity drop persists in bottleneck scenarios at all CACC MPR levels. It is also found that CACC increases flow heterogeneity due to the switch among different operation modes. A microscopic investigation of the CACC operational mode and trajectories reveals a close relation between CACC deactivation, traffic congestion and flow heterogeneity.",
keywords = "Authority transitions, Capacity drop, Cooperative Adaptive Cruise Control, Merging, Microscopic simulation",
author = "Lin Xiao and Meng Wang and Wouter Schakel and {van Arem}, Bart",
note = "Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",
year = "2018",
month = "11",
day = "1",
doi = "10.1016/j.trc.2018.10.008",
language = "English",
volume = "96",
pages = "380--397",
journal = "Transportation Research. Part C: Emerging Technologies",
issn = "0968-090X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks

AU - Xiao, Lin

AU - Wang, Meng

AU - Schakel, Wouter

AU - van Arem, Bart

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2018/11/1

Y1 - 2018/11/1

N2 - Cooperative Adaptive Cruise Control (CACC) systems have the potential to increase roadway capacity and mitigate traffic congestion thanks to the short following distance enabled by inter-vehicle communication. However, due to limitations in acceleration and deceleration capabilities of CACC systems, deactivation and switch to ACC or human-driven mode will take place when conditions are outside the operational design domain. Given the lack of elaborate models on this interaction, existing CACC traffic flow models have not yet been able to reproduce realistic CACC vehicle behaviour and pay little attention to the influence of system deactivation on traffic flow at bottlenecks. This study aims to gain insights into the influence of CACC on highway operations at merging bottlenecks by using a realistic CACC model that captures driver-system interactions and string length limits. We conduct systematic traffic simulations for various CACC market penetration rates (MPR) to derive free-flow capacity and queue discharge rate of the merging section and compare these to the capacity of a homogeneous pipeline section. The results show that an increased CACC MPR can indeed increase the roadway capacity. However, the resulting capacity in the merging bottleneck is much lower than the pipeline capacity and capacity drop persists in bottleneck scenarios at all CACC MPR levels. It is also found that CACC increases flow heterogeneity due to the switch among different operation modes. A microscopic investigation of the CACC operational mode and trajectories reveals a close relation between CACC deactivation, traffic congestion and flow heterogeneity.

AB - Cooperative Adaptive Cruise Control (CACC) systems have the potential to increase roadway capacity and mitigate traffic congestion thanks to the short following distance enabled by inter-vehicle communication. However, due to limitations in acceleration and deceleration capabilities of CACC systems, deactivation and switch to ACC or human-driven mode will take place when conditions are outside the operational design domain. Given the lack of elaborate models on this interaction, existing CACC traffic flow models have not yet been able to reproduce realistic CACC vehicle behaviour and pay little attention to the influence of system deactivation on traffic flow at bottlenecks. This study aims to gain insights into the influence of CACC on highway operations at merging bottlenecks by using a realistic CACC model that captures driver-system interactions and string length limits. We conduct systematic traffic simulations for various CACC market penetration rates (MPR) to derive free-flow capacity and queue discharge rate of the merging section and compare these to the capacity of a homogeneous pipeline section. The results show that an increased CACC MPR can indeed increase the roadway capacity. However, the resulting capacity in the merging bottleneck is much lower than the pipeline capacity and capacity drop persists in bottleneck scenarios at all CACC MPR levels. It is also found that CACC increases flow heterogeneity due to the switch among different operation modes. A microscopic investigation of the CACC operational mode and trajectories reveals a close relation between CACC deactivation, traffic congestion and flow heterogeneity.

KW - Authority transitions

KW - Capacity drop

KW - Cooperative Adaptive Cruise Control

KW - Merging

KW - Microscopic simulation

UR - http://www.scopus.com/inward/record.url?scp=85054686646&partnerID=8YFLogxK

UR - http://resolver.tudelft.nl/uuid:f228ab63-c420-4d71-a643-3fab728aa829

U2 - 10.1016/j.trc.2018.10.008

DO - 10.1016/j.trc.2018.10.008

M3 - Article

VL - 96

SP - 380

EP - 397

JO - Transportation Research. Part C: Emerging Technologies

T2 - Transportation Research. Part C: Emerging Technologies

JF - Transportation Research. Part C: Emerging Technologies

SN - 0968-090X

ER -

ID: 47135312