A mixed integer programming is formulated for estimating the speed and the acceleration of a vehicle as functions of the time based on the data from a probe-car system. It is assumed that the data from the probe-car system include the statistics (specifically, the maximum, the minimum, and the average) of the speed and the acceleration, respectively, of the vehicle. The estimated functions have the statistics that agree with those measured by the probe-car system. Also, the estimated function of the acceleration is smooth, which agrees with the observation that drivers are less likely to change the acceleration radically. The estimated functions of the speed and the acceleration of a vehicle can be used to estimate the amount of CO2 emission from the vehicle.
By: Takayuki Osogami
Published in: RT0884 in 2009
LIMITED DISTRIBUTION NOTICE:
This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.
Questions about this service can be mailed to reports@us.ibm.com .