Print Email Facebook Twitter Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks Title Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks Author Xiao, L. (TU Delft Transport and Planning) Wang, M. (TU Delft Transport and Planning) Schakel, W.J. (TU Delft Transport and Planning) van Arem, B. (TU Delft Transport and Planning) Date 2018-11-01 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. Subject Authority transitionsCapacity dropCooperative Adaptive Cruise ControlMergingMicroscopic simulation To reference this document use: http://resolver.tudelft.nl/uuid:f228ab63-c420-4d71-a643-3fab728aa829 DOI https://doi.org/10.1016/j.trc.2018.10.008 Embargo date 2019-03-12 ISSN 0968-090X Source Transportation Research. Part C: Emerging Technologies, 96, 380-397 Bibliographical 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. Part of collection Institutional Repository Document type journal article Rights © 2018 L. Xiao, M. Wang, W.J. Schakel, B. van Arem Files PDF 1_s2.0_S0968090X1830528X_main.pdf 3.8 MB Close viewer /islandora/object/uuid:f228ab63-c420-4d71-a643-3fab728aa829/datastream/OBJ/view