Impacts of cooperative adaptive cruise control platoons on emissions under traffic oscillation

Abstract Previous studies have shown that cooperative adaptive cruise control (CACC) vehicles have capability to improve traffic flow stability and reduce emissions and fuel consumption. However, previous studies did not investigate the relevance between these two aspects. To address this issue, we calculated stability conditions of traffic flow using car-following models. Simulations are also performed to evaluate reductions of emissions and fuel consumption under traffic oscillations. We also compared results of stability and emissions for exploring intrinsic relevance between them. Results show that stability could qualitatively influence reductions of emissions and fuel consumption, which provides potential method to reduce emissions and fuel consumption.

[1]  Jianqiang Wang,et al.  Vehicle Longitudinal Control and Traffic Stream Modeling , 2016, Transp. Sci..

[2]  Wei Wang,et al.  Estimating Equilibrium Speed-Spacing Relationship from Dynamic Trajectory Data , 2012 .

[3]  Martin Treiber,et al.  INFLUENCE OF REACTION TIMES AND ANTICIPATION ON THE STABILITY OF VEHICULAR TRAFFIC FLOW , 2006 .

[4]  Baher Abdulhai,et al.  Traffic capacity implications of automated vehicles mixed with regular vehicles , 2018, J. Intell. Transp. Syst..

[5]  Xiao-Yun Lu,et al.  COOPERATIVE ADAPTIVE CRUISE CONTROL (CACC) DEFINITIONS AND OPERATING CONCEPTS , 2015 .

[6]  Bart Van Arem,et al.  Driver and Vehicle Characteristics and Platoon and Traffic Flow Stability , 2010 .

[7]  Mashrur Chowdhury,et al.  A Review of Communication, Driver Characteristics, and Controls Aspects of Cooperative Adaptive Cruise Control (CACC) , 2016, IEEE Transactions on Intelligent Transportation Systems.

[8]  Sang-Hoon Bae,et al.  Development of a methodology to demonstrate the environmental impact of connected vehicles under lane-changing conditions , 2013, Simul..

[9]  Andreas A. Malikopoulos,et al.  Automated and Cooperative Vehicle Merging at Highway On-Ramps , 2017, IEEE Transactions on Intelligent Transportation Systems.

[10]  Matthew Ellis,et al.  Aerodynamic Drag and Engine Cooling Effects on Class 8 Trucks in Platooning Configurations , 2015 .

[11]  Meng Li,et al.  Emission Mitigation via Longitudinal Control of Intelligent Vehicles in a Congested Platoon , 2015, Comput. Aided Civ. Infrastructure Eng..

[12]  van de Mjg René Molengraft,et al.  Cooperative adaptive cruise control , 2009 .

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

[14]  Alireza Talebpour,et al.  Influence of connected and autonomous vehicles on traffic flow stability and throughput , 2016 .

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

[16]  Hao Liu,et al.  Impact of cooperative adaptive cruise control on multilane freeway merge capacity , 2018, J. Intell. Transp. Syst..

[17]  Bilin Aksun Güvenç,et al.  Cooperative Adaptive Cruise Control Implementation of Team Mekar at the Grand Cooperative Driving Challenge , 2012, IEEE Transactions on Intelligent Transportation Systems.

[18]  Soyoung Ahn,et al.  Truck Platooning on Uphill Grades under Cooperative Adaptive Cruise Control (CACC) , 2017 .

[19]  Hai-Jun Huang,et al.  Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions , 2015 .

[20]  Nakayama,et al.  Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[21]  Gábor Orosz,et al.  Dynamics of connected vehicle systems with delayed acceleration feedback , 2014 .

[22]  Lili Du,et al.  Constrained optimization and distributed computation based car following control of a connected and autonomous vehicle platoon , 2016 .

[23]  Vicente Milanés Montero,et al.  Handling Cut-In Vehicles in Strings of Cooperative Adaptive Cruise Control Vehicles , 2016, J. Intell. Transp. Syst..

[24]  Martin Lauer,et al.  Team AnnieWAY's Entry to the 2011 Grand Cooperative Driving Challenge , 2012, IEEE Transactions on Intelligent Transportation Systems.

[25]  Sabina Jeschke,et al.  A Review of Truck Platooning Projects for Energy Savings , 2016, IEEE Transactions on Intelligent Vehicles.

[26]  Monica Menendez,et al.  A Consensus-Based Algorithm for Truck Platooning , 2017, IEEE Transactions on Intelligent Transportation Systems.

[27]  Keqiang Li,et al.  Double-layer speed optimization for reducing fuel consumption with vehicle-to-infrastructure communication , 2019, J. Intell. Transp. Syst..

[28]  H. Fritz,et al.  CHAUFFEUR Assistant: a driver assistance system for commercial vehicles based on fusion of advanced ACC and lane keeping , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[29]  Hesham Rakha,et al.  ESTIMATING VEHICLE FUEL CONSUMPTION AND EMISSIONS BASED ON INSTANTANEOUS SPEED AND ACCELERATION LEVELS , 2002 .

[30]  Xiao-Yun Lu,et al.  Cooperative Adaptive Cruise Control (CACC) for Truck Platooning: Operational Concept Alternatives , 2015 .

[31]  Takayoshi Yoshimura,et al.  Efficient Driving on Multilane Roads Under a Connected Vehicle Environment , 2016, IEEE Transactions on Intelligent Transportation Systems.

[32]  Hesham Rakha,et al.  Intersection Management via Vehicle Connectivity: The Intersection Cooperative Adaptive Cruise Control System Concept , 2016, J. Intell. Transp. Syst..

[33]  Steven E Shladover,et al.  Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data , 2014 .

[34]  Henk Nijmeijer,et al.  Cooperative Driving With a Heavy-Duty Truck in Mixed Traffic: Experimental Results , 2012, IEEE Transactions on Intelligent Transportation Systems.

[35]  Vicente Milanés Montero,et al.  Cooperative Adaptive Cruise Control in Real Traffic Situations , 2014, IEEE Transactions on Intelligent Transportation Systems.

[36]  Xiaoliang Ma,et al.  Effects of a Cooperative Variable Speed Limit System on Traffic Performance and Exhaust Emissions , 2013 .

[37]  Christopher Nowakowski,et al.  Cooperative Adaptive Cruise Control , 2015 .

[38]  Hao Wang,et al.  Analytical framework of string stability of connected and autonomous platoons with electronic throttle angle feedback , 2018 .

[39]  Haijun Huang,et al.  An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests , 2017 .

[40]  Rohit Saha,et al.  Investigation of Aerodynamic Influence on Truck Platooning , 2015 .

[41]  Stephen D. Boyles,et al.  Incorporating insights from signal optimization into reservation-based intersection controls , 2019, J. Intell. Transp. Syst..

[42]  Xiaopeng Li,et al.  Stop-and-go traffic analysis: Theoretical properties, environmental impacts and oscillation mitigation , 2014 .