Assessing the Impact of Connected and Automated Vehicles. A Freeway Scenario

In the next decades, road transport will undergo a deep transformation with the advent of connected and automated vehicles (CAVs), which promise to drastically change the way we commute. CAVs hold significant potential to positively affect traffic flows, air pollution, energy use, productivity, comfort, and mobility. On the other hand, there is an increasing number of sources and reports highlighting potential problems that may arise with CAVs, such as, conservative driving (relaxed thresholds), problematic interaction with human-driven vehicles (inability to take decisions based on eye contact or body language) and increased traffic demand. Therefore, it is of high importance to assess vehicle automated functionalities in a case-study simulation. The scope of this paper is to present some preliminary results regarding the impact assessment of cooperative adaptive cruise control (CACC) on the case-study of the ring road of Antwerp, which is responsible for almost 50% of the traffic and pollution of the city. Scenarios with various penetration rates and traffic demands were simulated showing that coordination of vehicles may be needed to significantly reduce traffic congestion and energy use.

[1]  Meng Wang,et al.  Realistic Car-Following Models for Microscopic Simulation of Adaptive and Cooperative Adaptive Cruise Control Vehicles , 2017 .

[2]  Matthew J. Roorda,et al.  Fully autonomous vehicles: analyzing transportation network performance and operating scenarios in the Greater Toronto Area, Canada , 2019, Transportation Planning and Technology.

[3]  Biagio Ciuffo,et al.  CO2 emissions and energy demands of vehicles tested under the NEDC and the new WLTP type approval test procedures , 2016 .

[4]  Guido Cosemans,et al.  Validation of the MIMOSA-AURORA-IFDM model chain for policy support: Modeling concentrations of elemental carbon in Flanders , 2011 .

[5]  Dali Wei,et al.  An Enhanced Microscopic Traffic Simulation Model for Application to Connected Automated Vehicles , 2017 .

[6]  P. G. Gipps,et al.  A behavioural car-following model for computer simulation , 1981 .

[7]  Hani S. Mahmassani,et al.  50th Anniversary Invited Article - Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations , 2016, Transp. Sci..

[8]  Ciuffo Biagio,et al.  The r-evolution of driving: from Connected Vehicles to Coordinated Automated Road Transport (C-ART) , 2017 .

[9]  Todd Litman,et al.  Autonomous Vehicle Implementation Predictions: Implications for Transport Planning , 2015 .

[10]  Bart van Arem,et al.  The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics , 2006, IEEE Transactions on Intelligent Transportation Systems.

[11]  Tatsuya Suzuki,et al.  Model predictive cooperative cruise control in mixed traffic , 2015, IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society.

[12]  Bart Degraeuwe,et al.  Impact of passenger car NOx emissions and NO2 fractions on urban NO2 pollution – Scenario analysis for the city of Antwerp, Belgium , 2016 .

[13]  Philip Wolfe,et al.  An algorithm for quadratic programming , 1956 .

[14]  Mohammed Hadi,et al.  Evaluation of Cooperative Adaptive Cruise Control (CACC) Vehicles on Managed Lanes Utilizing Macroscopic and Mesoscopic Simulation , 2016 .

[15]  Stijn Janssen,et al.  Evaluation of the RIO-IFDM-street canyon model chain , 2013 .

[16]  Steven E Shladover,et al.  Impacts of Cooperative Adaptive Cruise Control on Freeway Traffic Flow , 2012 .

[17]  Shannon R. Bowling,et al.  A Progressive Deployment Strategy for Cooperative Adaptive Cruise Control to Improve Traffic Dynamics , 2014, Int. J. Autom. Comput..

[18]  Martijn van Noort,et al.  Cooperative driving in mixed traffic networks — Optimizing for performance , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[19]  Dong Ngoduy,et al.  Instability of cooperative adaptive cruise control traffic flow: A macroscopic approach , 2013, Commun. Nonlinear Sci. Numer. Simul..

[20]  S. Ilgin Guler,et al.  Using connected vehicle technology to improve the efficiency of intersections , 2014 .