Design and Implementation of a CANBus-Based Eco-Driving System for Public Transport Bus Services

Driving vehicles according to eco-driving principles and techniques have significant impact on decreasing both fuel consumption and carbon dioxide (CO2) emissions. In addition to some kind of technical and/or mechanical features brought by today’s new generation vehicles, driver behavior is also one of the greatest factors affecting the fuel consumption. Many studies show that the effect of eco-driving education on the drivers loses its impact in long term and there needs some sort of continuous monitoring and/or feedback mechanisms. This kind of driver monitoring becomes very critical especially in fleets composed of heavy-duty vehicles, such as municipality buses, truck fleets, etc. Moreover, in order to adapt behavior to drive more economically, information about instant fuel consumption has to be provided to the driver. Hence, in this paper, we introduce an eco-driving system in which data gathered from the controller area network (CANBus) of public transport vehicles are processed for both comparative and fair evaluation of bus drivers’ eco-driving performance. Moreover, in-vehicle components of the system guide the drivers during their trips; provide feedbacks and real-time warnings considering the fuel consumption. Developed system was successfully deployed and evaluated in one of the public metrobus systems used by approximately 250000 passengers every day. Based on the 15-months evaluation period, the results are very promising in the sense that both drivers and operators found the system useful and the system provided fuel saving up to approximately 5% even in the short term of monthly comparisons.

[1]  J Van Mierlo,et al.  Driving style and traffic measures-influence on vehicle emissions and fuel consumption , 2004 .

[2]  Yunfeng Hu,et al.  Sequential Optimization of Eco-Driving Taking Into Account Fuel Economy and Emissions , 2019, IEEE Access.

[3]  Elgar Fleisch,et al.  The impact of numerical vs. symbolic eco-driving feedback on fuel consumption – A randomized control field trial , 2018, Transportation Research Part D: Transport and Environment.

[4]  Wåhlberg. A. E. af Fuel efficient driving training - state of the art and quantification of effects , 2002 .

[5]  Ryosuke Ando,et al.  A Study on Factors Affecting the Effective Eco-driving , 2012 .

[6]  Neville A. Stanton,et al.  Driver Modeling and Implementation of a Fuel-Saving ADAS , 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[7]  L-P Tardif,et al.  INCENTIVE PROGRAMS FOR ENHANCING TRUCK SAFETY AND PRODUCTIVITY: A CANADIAN PERSPECTIVE , 1998 .

[8]  Atiyeh Vaezipour,et al.  A simulator study of the effect of incentive on adoption and effectiveness of an in-vehicle human machine interface , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

[9]  Bedir Tekinerdogan,et al.  A systematic approach to evaluating domain-specific modeling language environments for multi-agent systems , 2015, Software Quality Journal.

[10]  Michael Sivak,et al.  Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy , 2012 .

[11]  Heikki Liimatainen,et al.  Energy efficiency practices among road freight hauliers , 2012 .

[12]  Anders af Wåhlberg,et al.  Long-term effects of training in economical driving: Fuel consumption, accidents, driver acceleration behavior and technical feedback , 2007 .

[13]  Mario Muñoz Organero,et al.  Validating the Impact on Reducing Fuel Consumption by Using an EcoDriving Assistant Based on Traffic Sign Detection and Optimal Deceleration Patterns , 2013, IEEE Transactions on Intelligent Transportation Systems.

[14]  Sergio M. Savaresi,et al.  Driving style estimation via inertial measurements , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[15]  Bin Ran,et al.  An Eco-Driving Signal Control Model for Divisible Electric Platoons in Cooperative Vehicle-Infrastructure Systems , 2019, IEEE Access.

[16]  Daisuke Ochi,et al.  Development of a System to Promote Eco-Driving and Safe-Driving , 2010, NEW2AN.

[17]  Hui Xie,et al.  The Effects of an Eco-Driving Assistance System for a City Bus on Driving Style , 2018 .

[18]  C. Oliveira,et al.  The effect of eco-driving initiatives toward sustainable urban waste collection , 2020, International Journal of Sustainable Transportation.

[19]  Alexandr Zavalko,et al.  Applying energy approach in the evaluation of eco-driving skill and eco-driving training of truck drivers , 2018, Transportation Research Part D: Transport and Environment.

[20]  Junichi Murata,et al.  Ecological Vehicle Control on Roads With Up-Down Slopes , 2011, IEEE Transactions on Intelligent Transportation Systems.

[21]  Andreas Riener Subliminal Persuasion and Its Potential for Driver Behavior Adaptation , 2012, IEEE Transactions on Intelligent Transportation Systems.

[22]  Fei Luo,et al.  Cooperative Look-Ahead Control of Vehicle Platoon for Maximizing Fuel Efficiency Under System Constraints , 2018, IEEE Access.

[23]  Geylani Kardas,et al.  A multi-agent system for minimizing energy costs in cement production , 2014, Comput. Ind..

[24]  Irene Michelle Berry,et al.  The effects of driving style and vehicle performance on the real-world fuel consumption of U.S. light-duty vehicles , 2010 .

[25]  Huei Peng,et al.  Design and Comparison of Fuel-Saving Speed Planning Algorithms for Automated Vehicles , 2018, IEEE Access.

[26]  Heikki Liimatainen,et al.  Utilization of Fuel Consumption Data in an Ecodriving Incentive System for Heavy-Duty Vehicle Drivers , 2011, IEEE Transactions on Intelligent Transportation Systems.

[27]  Jenny Díaz-Ramírez,et al.  Eco-driving key factors that influence fuel consumption in heavy-truck fleets : A Colombian case , 2017 .

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

[29]  Maria Zarkadoula,et al.  Training urban bus drivers to promote smart driving: A note on a Greek eco-driving pilot program , 2007 .

[30]  Andreas A. Malikopoulos,et al.  An Optimization Framework for Driver Feedback Systems , 2013, IEEE Transactions on Intelligent Transportation Systems.

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

[32]  Kristian Torp,et al.  Evaluating eco-driving advice using GPS/CANBus data , 2013, SIGSPATIAL/GIS.

[33]  Andreas A. Malikopoulos Real-time, self-learning identification and stochastic optimal control of advanced powertrain systems. , 2008 .

[34]  Geylani Kardas,et al.  A model driven architecture for the development of smart card software , 2014, Comput. Lang. Syst. Struct..

[35]  Felix Wortmann,et al.  The Impact of Abstract vs. Concrete Feedback Design on Behavior Insights from a Large Eco-Driving Field Experiment , 2018, CHI.

[36]  Marc Ross,et al.  Automobile Fuel Consumption and Emissions: Effects of Vehicle and Driving Characteristics , 1994 .

[37]  Mario Muñoz Organero,et al.  Artemisa: A Personal Driving Assistant for Fuel Saving , 2016, IEEE Transactions on Mobile Computing.

[38]  Q.B. Dam The MPG Survey: Questioning the Biased Perception of Automobile Fuel Economy , 2008, 2008 IEEE Energy 2030 Conference.

[39]  Angkee Sripakagorn,et al.  Eco-Driving Rating Based on Average Trip Speed and Evaluation , 2014 .

[40]  Hiroaki Ishikawa,et al.  Self-Coaching System Based on Recorded Driving Data: Learning From One's Experiences , 2012, IEEE Transactions on Intelligent Transportation Systems.

[41]  John N. Hooker,et al.  Optimal driving for single-vehicle fuel economy , 1988 .