A review on the applications of driving data and traffic information for vehicles׳ energy conservation

A large portion of energy consumption in the world is related to transportation. In recent decades, a variety of technologies have been innovated and applied in order to decrease vehicles energy consumption. In this paper, a comprehensive review on the use of driving data and traffic information for vehicles energy conservation is done. The main aim of this paper is the development of a framework for classification and comparative assessment of various methods and technologies, in which driving data or traffic information are utilized for vehicles energy conservation. The applications are classified into three main categories including (1) traffic monitoring and management systems, (2) intelligent energy management systems in vehicles and (3) intelligent management of charging issues. Research topics in each category are explained and their respective effectiveness in vehicles energy consumption reduction is discussed. The review concludes that the use of the driving data and traffic information leads to remarkable improvements in vehicles energy consumption reduction.

[1]  Myoungho Sunwoo,et al.  Electric powertrain modeling of a fuel cell hybrid electric vehicle and development of a power distribution algorithm based on driving mode recognition , 2010 .

[2]  Ali Emadi,et al.  Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles , 2011, IEEE Transactions on Vehicular Technology.

[3]  Otman A. Basir,et al.  Traffic pattern detection in a partially deployed vehicular Ad Hoc network of vehicles , 2009, IEEE Wireless Communications.

[4]  Chen Zhang,et al.  Route Preview in Energy Management of Plug-in Hybrid Vehicles , 2012, IEEE Transactions on Control Systems Technology.

[5]  Alireza Khaligh,et al.  Impact of plug-in hybrid electric vehicle charging on a distribution network in a Smart Grid environment , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[6]  Chen Zhang,et al.  Role of Terrain Preview in Energy Management of Hybrid Electric Vehicles , 2010, IEEE Transactions on Vehicular Technology.

[7]  Esfandyar Mazhari,et al.  Integrated analysis of high-penetration PV and PHEV with energy storage and demand response , 2013 .

[8]  Peng Wang,et al.  Vehicle-to-grid service potential with price based PEV charging/discharging , 2013, 2013 IEEE Power & Energy Society General Meeting.

[9]  Reza Langari,et al.  Fuzzy torque distribution control for a parallel hybrid vehicle , 2002, Expert Syst. J. Knowl. Eng..

[10]  Johan Driesen,et al.  Electric vehicle impact assessment study based on data-logged vehicle and driver behavior , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[11]  Boris S. Kerner,et al.  Empirical test of a microscopic three-phase traffic theory , 2007 .

[12]  Reza Langari,et al.  Intelligent energy management agent for a parallel hybrid vehicle-part I: system architecture and design of the driving situation identification process , 2005, IEEE Transactions on Vehicular Technology.

[13]  Ralph W. Conant,et al.  : The Computerization of Society: A Report to the President of France , 1982 .

[14]  Wolf-Gerrit Fruh,et al.  Simulation of demand management and grid balancing with electric vehicles , 2012 .

[15]  Eva Ericsson,et al.  Independent driving pattern factors and their influence on fuel-use and exhaust emission factors , 2001 .

[16]  Harald Haas,et al.  Proc. of the Wireless Communications and Networking Conference (WCNC) , 2012 .

[17]  Mark Ehsani Vehicle Power and Propulsion Conference (VPPC) Committee - {VTS News} , 2006, IEEE Vehicular Technology Magazine.

[18]  Jarod C. Kelly,et al.  Time-dependent plug-in hybrid electric vehicle charging based on national driving patterns and demographics , 2012 .

[19]  Z. Ning,et al.  On-road remote sensing of petrol vehicle emissions measurement and emission factors estimation in Hong Kong , 2004 .

[20]  Eva Ericsson,et al.  Variability in urban driving patterns , 2000 .

[21]  Yeong-Il Park,et al.  Multi-Mode Driving Control of a Parallel Hybrid Electric Vehicle Using Driving Pattern Recognition , 2002 .

[22]  C. Monteiro,et al.  Optimum residential load management strategy for real time pricing (RTP) demand response programs , 2012 .

[23]  Abbas Fotouhi,et al.  Traffic condition recognition using the k-means clustering method , 2011 .

[24]  Teuku Meurah Indra Mahlia,et al.  A review on fuel economy standard for motor vehicles with the implementation possibilities in Malaysia , 2010 .

[25]  Kanok Boriboonsomsin,et al.  Dynamic ECO-driving for arterial corridors , 2011, 2011 IEEE Forum on Integrated and Sustainable Transportation Systems.

[26]  Ahmet Teke,et al.  A comprehensive overview of hybrid electric vehicle: Powertrain configurations, powertrain control techniques and electronic control units , 2011 .

[27]  H. J. Van Zuylen,et al.  Accurate freeway travel time prediction with state-space neural networks under missing data , 2005 .

[28]  S. Acha,et al.  Modelling spatial and temporal agent travel patterns for optimal charging of electric vehicles in low carbon networks , 2012, 2012 IEEE Power and Energy Society General Meeting.

[29]  Mehdi Ferdowsi,et al.  Plug-in hybrid electric vehicles: Charging load profile extraction based on transportation data , 2011, 2011 IEEE Power and Energy Society General Meeting.

[30]  B. Kloiber,et al.  Slipstream cooperative adaptive cruise control — A conceptual ITS application for electric vehicles , 2012, 2012 IEEE International Electric Vehicle Conference.

[31]  Hasan Zoghi,et al.  Usage of ITS in the In-vehicle Signing System With RFID tags and Vehicle Routing and Road Traffic Simulation , 2008, 2008 11th International IEEE Conference on Intelligent Transportation Systems.

[32]  M. F. Othman,et al.  A complete model of stand-alone photovoltaic array in MATLAB-Simulink environment , 2011, 2011 IEEE Student Conference on Research and Development.

[33]  Abbas Fotouhi,et al.  AN INVESTIGATION ON VEHICLE'S FUEL CONSUMPTION AND EXHAUST EMISSIONS IN DIFFERENT DRIVING CONDITIONS , 2012 .

[34]  John S. Thompson,et al.  Bandwidth and energy efficiency of video broadcasting services over LTE/LTE-A , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[35]  Alistair Munro,et al.  Performance comparison of cooperative and non-cooperative relaying mechanisms in wireless networks , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[36]  Luis Martínez-López,et al.  An approach based on computing with words to manage experts behavior in consensus reaching processes with large groups , 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[37]  Monnie McGee,et al.  Introduction to Time Series Analysis and Forecasting: With Applications of SAS and SPSS , 2000 .

[38]  Tarik Taleb,et al.  An Efficient Collision Avoidance Strategy for ITS systems , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[39]  Mutasim A. Salman,et al.  Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic , 2004, Math. Comput. Simul..

[40]  Kim N. Dirks,et al.  A semi-empirical model for predicting the effect of changes in traffic flow patterns on carbon monoxide concentrations , 2003 .

[41]  J Parviainen,et al.  Proceedings Of The IEEE - IEE Vehicle Navigation And Information Systems Conference , 1993, Proceedings of VNIS '93 - Vehicle Navigation and Information Systems Conference.

[42]  Matthias C. M. Troffaes,et al.  Data analysis and robust modelling of the impact of renewable generation on long term security of supply and demand , 2015, 2015 IEEE Power & Energy Society General Meeting.

[43]  Ehssan Sakhaee,et al.  A Stable Routing Protocol to Support ITS Services in VANET Networks , 2007, IEEE Transactions on Vehicular Technology.

[44]  James M. Keller,et al.  Proceedings of the 12th IEEE International Conference on Fuzzy Systems : Sunday 25 May-Wednesday 28 May, 2003, St. Louis, Missouri, USA : exploring new frontiers : FUZZ-IEEE 2003 , 2003 .

[45]  Mashrur Chowdhury,et al.  Utilizing real-time information transferring potentials to vehicles to improve the fast-charging process in electric vehicles , 2013 .

[46]  Sjaanie Narelle Koppel,et al.  Epidemiology of older driver crashes - Identifying older driver risk factors and exposure patterns , 2006 .

[47]  Huei Peng,et al.  Driving Pattern Recognition for Control of Hybrid Electric Trucks , 2004 .

[48]  Rubiyah Yusof,et al.  Hybrid technique of ant colony and particle swarm optimization for short term wind energy forecasting , 2013 .

[49]  S. Hyakin,et al.  Neural Networks: A Comprehensive Foundation , 1994 .

[50]  H. Lieu THE PHYSICS OF TRAFFIC: EMPIRICAL FREEWAY PATTERN FEATURES, ENGINEERING APPLICATIONS, AND THEORY , 2005 .

[51]  Rubiyah Yusof,et al.  Analytical modeling of partially shaded photovoltaic systems , 2013 .

[52]  Thierry Marie Guerra,et al.  Simulation and assessment of power control strategies for a parallel hybrid car , 2000 .

[53]  Brian N. Fildes Older drivers' safety and mobility: Current and future issues , 2006 .

[54]  Karsten Emil Capion,et al.  Optimal charging of electric drive vehicles in a market environment , 2011 .

[55]  Alexis Kwasinski,et al.  Spatial and Temporal Model of Electric Vehicle Charging Demand , 2012, IEEE Transactions on Smart Grid.

[56]  Rubiyah Yusof,et al.  Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: A particle swarm optimization technique , 2014 .

[57]  Ying Tan,et al.  An Intelligent Multifeature Statistical Approach for the Discrimination of Driving Conditions of a Hybrid Electric Vehicle , 2011, IEEE Transactions on Intelligent Transportation Systems.

[58]  Karin Brundell-Freij,et al.  Optimizing route choice for lowest fuel consumption - Potential effects of a new driver support tool , 2006 .

[59]  Yi Lu Murphey,et al.  Neural learning of driving environment prediction for vehicle power management , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[60]  William G. Temple,et al.  Intelligent electric vehicle charging: Rethinking the valley-fill , 2011 .

[61]  Rajesh Rajamani,et al.  Adaptive cruise control system design and its impact on highway traffic flow , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[62]  M. Steinbuch,et al.  Predictive gear shift control for a parallel Hybrid Electric Vehicle , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[63]  H. E. Gerland ITS Intelligent Transportation System: fleet management with GPS dead reckoning, advanced displays, smartcards, etc , 1993, Proceedings of VNIS '93 - Vehicle Navigation and Information Systems Conference.

[64]  Hamid Khayyam,et al.  Look-ahead intelligent energy management of a parallel hybrid electric vehicle , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[65]  Reza Langari,et al.  Intelligent energy management agent for a parallel hybrid vehicle-part II: torque distribution, charge sustenance strategies, and performance results , 2005, IEEE Transactions on Vehicular Technology.

[66]  Ling Guan,et al.  Optimal Scheduling for Charging and Discharging of Electric Vehicles , 2012, IEEE Transactions on Smart Grid.

[67]  Tharmalingam Ratnarajah,et al.  Power Allocation and Beamforming in Overlay Cognitive Radio Systems , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[68]  Claudio Casetti,et al.  A game-theoretic approach to EV driver assistance through ITS , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[69]  11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008, Beijing, China, 12-15 October 2008 , 2008, ITSC.

[70]  Zhijun Yang,et al.  Adaptation of barn owl localization system with spike timing dependent plasticity , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[71]  Max Donath,et al.  American Control Conference , 1993 .

[72]  Keith Wipke,et al.  HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions , 2000 .

[73]  Mashrur Chowdhury,et al.  An energy optimization strategy for power-split drivetrain plug-in hybrid electric vehicles , 2012 .

[74]  Eleni I. Vlahogianni,et al.  Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach , 2005 .

[75]  Hosam K. Fathy,et al.  Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity , 2011 .

[76]  Der-Horng Lee,et al.  Short-term freeway traffic flow prediction : Bayesian combined neural network approach , 2006 .

[77]  Yoichi Hori,et al.  Future vehicle society based on electric motor, capacitor and wireless power supply , 2010, The 2010 International Power Electronics Conference - ECCE ASIA -.

[78]  Abbas Fotouhi,et al.  Driving patterns clustering based on driving features analysis , 2011 .