INTRODUCTION ------------ Further to figuring out that there is not a single duty cycle introduced in the literature to appropriately represent typical daily activities of the vehicles and to address the energy and power demands of the PHEVs and BEVs, this study addresses the gap in the literature by developing a customized methodology and constructing the needed duty cycles based on a database of over 44 million GPS data points. Depending on the context of discussions by different authors in the literature driving cycle and duty cycle may present different meanings. It is therefore essential to define the terminology used here to ensure clarity. Hereafter a “driving cycle” refers to a history of daily driving periods represented by a speed versus time curve. A “duty cycle” herein refers to a profile of daily usage of power by the vehicle, typically represented by a 24-hour history of driving and parking events. Note that in case of a HEV only a driving cycle is sufficient to calculate vehicle’s power demand while in case of a PEV parking times may be used for power consumption form outsource electric grid and therefore parking times should be included in the daily profile. Parking times are important to utilities as these can be used to predict and control load on the grid. Recorded files for each of the 76 vehicles, number as 201 to 276, are collectively saved and zipped in 15 files for ease of use. Due to a confidentiallty agreement the begining of each trip is set to (0,0) and displacements recorded on secondly basis are calculated based on the coordinates to mask the identity of the volenteers participating in the staudy and the nature of thier trips. The data collection was done between May 2008 and May 2009 in the city of winnipeg. Volenteers range from different income brackets, age, gender and profession representing differnt city districts. For more information please refer to the references provided below. DISCLAIMER: ----------- While every effort is made to ensure that the content of this website is accurate, the website is provided “as is” and no representations or warranties in relation to the accuracy or completeness of the information found on it will be made. While the information made publicly available here is provided in good faith, it is not warranted that the information will not misleading, or that this site will always (or ever) be available for use. There is no warranty that the servers that make this website available will be error, virus or bug free and you accept that it is the end-user's responsibility to make adequate provision for protection against such threats. Scanning any files before downloading is recommended. REFERENCE: ---------- Please make reference to the following papers where related information or the details on data generation are explained: 1- Shahidinejad, S., Bibeau, E., Filizadeh, S., "Statistical Development of a Duty Cycle for Plug-in Vehicles in a North-American Urban Setting Using Fleet Information," IEEE transaction on Vehicular Technolgy, vol. 59, no. 8, Oct. 2010. 2- Ashtari, A., Bibeau, E., Shahidinejad, S., "stochastic approach to construct a real–world driving cycle for the City of Winnipeg," Journal of Transportation Science (submitted August 2010). DATA TYPE: ---------- FIX = RECONSTRUCTED DATA, TIME AND SPEED ESTIMATED RAW = RAW GPS DATA, NO DATA RECONSTRUCTION M = MISSING OR UNABLE TO COMPUTE In case of a parking event (GENERATED BASED ON PROBABLITIES CALCULATED FOR A SMALL PORTION OF THE DATA, MANUALLY CHECKED COORDINATES): STOP = SHORT STOP, LESS THAN OR EQUAL TO 30 MINUTES SHOP = PARKING EVENT HAPPENED AT A SHOPPING CENTER WORK = PARKING EVENT HAPPENED AT WORK PLACE STREET = PARKING EVENT HAPPENED IN STREET HOME = PARKING AT A HOME OR A RESIDENTIAL AREA WEEKENDS ARE ALSO MARKED IN CASE OF PARKING EVENTS HAPPENED DURING WEEKENED.