Cooperative Regulation and Trading of Emissions Using Plug-in Hybrid Vehicles

We present a new approach to regulate traffic-related pollution in urban environments by utilizing hybrid vehicles. To do this, we orchestrate the way that each vehicle in a large fleet combines its two engines based on simple communication signals from a central infrastructure. Our approach can be viewed both as a control algorithm and as an optimization algorithm. The primary goal is to regulate emissions, and we discuss a number of control strategies to achieve this goal. Second, we want to allocate the available pollution budget in a fair way among the participating vehicles; again, we explore several different notions of fairness that can be achieved. The efficacy of our approach is exemplified both by the construction of a proof-of-concept vehicle and by extensive simulations, and is verified by mathematical analysis.

[1]  P G Boulter,et al.  Emission factors 2009: Report 3 - exhaust emission factors for road vehicles in the United Kingdom , 2009 .

[2]  Rade Stanojević,et al.  Router-based algorithms for improving internet quality of service. , 2007 .

[3]  Robert Shorten,et al.  Stability Criteria for Switched and Hybrid Systems , 2007, SIAM Rev..

[4]  Robert Shorten,et al.  Traffic modelling framework for electric vehicles , 2012, Int. J. Control.

[5]  Rayadurgam Srikant,et al.  The Mathematics of Internet Congestion Control (Systems and Control: Foundations and Applications) , 2004 .

[6]  Frank Kelly,et al.  Mathematical Modelling of the Internet , 2001 .

[7]  Robert Shorten,et al.  On the Fair Coexistence of Loss- and Delay-Based TCP , 2009, IEEE/ACM Transactions on Networking.

[8]  Eva S. Norris,et al.  Development of a portable carbon monoxide optical sensor based on an extended cavity diode laser at 1564 nm , 2003, SPIE OPTO-Ireland.

[9]  Robert Shorten,et al.  Adaptive tuning of drop-tail buffers for reducing queueing delays , 2006, IEEE Communications Letters.

[10]  Kiron Chatterjee MODELLING THE IMPACTS OF TRANSPORT TELEMATICS: CURRENT LIMITATIONS AND FUTURE DEVELOPMENTS , 1999 .

[11]  Ali Emadi,et al.  Modern electric, hybrid electric, and fuel cell vehicles : fundamentals, theory, and design , 2009 .

[12]  Hannes Hartenstein,et al.  VANET: Vehicular Applications and Inter-Networking Technologies , 2010, VANET.

[13]  Ilja Radusch,et al.  A framework for optimal real-time emissions trading in large-scale vehicle fleets , 2013 .

[14]  F. Knorn Topics in Cooperative Control , 2011 .

[15]  Matthew Barth,et al.  Development of a Comprehensive Modal Emissions Model , 2000 .

[16]  Daniel Krajzewicz,et al.  The Open Source Traffic Simulation Package SUMO , 2006 .

[17]  C.M. Kellett,et al.  Sizing Internet Router Buffers, Active Queue Management, and the Lur'e Problem , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[18]  Derong Liu The Mathematics of Internet Congestion Control , 2005, IEEE Transactions on Automatic Control.

[19]  Kang G. Shin,et al.  A self-configuring RED gateway , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[20]  QUTdN QeO,et al.  Random early detection gateways for congestion avoidance , 1993, TNET.

[21]  Christos G. Cassandras,et al.  Dynamic resource allocation in urban settings: A “smart parking” approach , 2011, 2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD).

[22]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[23]  Robert Shorten,et al.  A result on implicit consensus with application to emissions control , 2011, IEEE Conference on Decision and Control and European Control Conference.

[24]  Robert Shorten,et al.  Results in cooperative control and implicit consensus , 2011, Int. J. Control.

[25]  Fabian R. Wirth,et al.  A positive systems model of TCP-like congestion control: asymptotic results , 2006, IEEE/ACM Transactions on Networking.