A network wide simulation strategy of alternative fuel vehicles |
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| Institution: | 1. Clemson University, Glenn Department of Civil Engineering, 123 Lowry Hall, Clemson, SC 29634, United States;2. Clemson University, Glenn Department of Civil Engineering, 216 Lowry Hall, Clemson, SC 29634, United States;3. Mathworks Inc., 3 Apple Hill Dr., Natick, MA 01706, United States;4. Clemson University, Glenn Department of Civil Engineering, 18 Lowry Hall, Clemson, SC 29634, United States;1. Infineon Technologies AG, 93049 Regensburg, Germany;2. IEETA, DETI, Universidade de Aveiro, P-3810-193 Aveiro, Portugal;3. DATC/ESTII, Universidad de Granada, E-18071 Granada, Spain;4. CIML Group, Biophysics Department, University of Regensburg, D-93040 Regensburg, Germany;1. Faculty of Engineering, University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia;2. Department of Materials Engineering, Faculty of Engineering and Built Environment, Tunku Abdul Rahman University College, Jalan Genting Kelang, 53300 Kuala Lumpur, Malaysia;3. Low Dimensional Materials Research Center, Department of Physics, Faculty of Science, University Malaya, 50603 Kuala Lumpur, Malaysia;4. School of Applied Physics, Faculty Science and Technology, University Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia;1. Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle, Nanchang Hangkong University, Nanchang, Jiangxi 330063, PR China;2. Department of Chemistry, Hong Kong Baptist University, Kowloon Tong, Hong Kong China |
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| Abstract: | This paper presents an integrated simulator “CUIntegration” to evaluate routing strategies based on energy and/or traffic measures of effectiveness for any Alternative Fuel Vehicles (AFVs). The CUIntegration can integrate vehicle models of conventional vehicles as well as AFVs developed with MATLAB-Simulink, and a roadway network model developed with traffic microscopic simulation software VISSIM. The architecture of this simulator is discussed in this paper along with a case study in which the simulator was utilized for evaluating a routing strategy for Plug-in Hybrid Electric Vehicles (PHEVs) and Electric Vehicles (EVs). The authors developed a route optimization algorithm to guide an AFV based on that AFV driver’s choice, which included; finding a route with minimum (1) travel time, (2) energy consumption or (3) a combination of both. The Application Programming Interface (API) was developed using Visual Basic to simulate the vehicle models/algorithms developed in MATLAB and direct vehicles in a roadway network model developed in VISSIM accordingly. The case study included a section of Interstate 83 in Baltimore, Maryland, which was modeled, calibrated and validated. The authors considered a worst-case scenario with an incident on the main route blocking all lanes for 30 min. The PHEVs and EVs were represented by integrating the MATLAB-Simulink vehicle models with the traffic simulator. The CUIntegration successfully combined vehicle models with a roadway traffic network model to support a routing strategy for PHEVs and EVs. Simulation experiments with CUIntegration revealed that routing of PHEVs resulted in cost savings of about 29% when optimized for the energy consumption, and for the same optimization objective, routing of EVs resulted in about 64% savings. |
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| Keywords: | Alternative fuel vehicles Plug-in hybrid vehicles Electric vehicles Integrated simulator Routing Traffic simulation Network wide simulation |
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