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Mobility Data Mining for Intelligent Transportation

Status: Complete

Lead Researcher(s)

Yi Lu Murphey
Associate Dean for Graduate Education and Research and Professor of Electrical and Computer Engineering, College of Engineering and Computer Science, The University of Michigan-Dearborn

Project Team

Project Abstract

This paper presents an intelligent personal route prediction system (I_PRP), which is built upon a knowledge base of personal route preferences learned
from a driver’s historical trips. The I_PRP contains an intelligent route prediction algorithm based on the first order Markov chain model to predict a driver’s intended route for a given pair of origin and destination, and a dynamic route prediction algorithm that has the capability of predicting a driver’s new route after the driver departs from the predicted route.

Project Outcome

The objective of this research was to develop effective mobility data mining techniques and intelligent transportation systems that can be used to improve driving safety through vehicle-to-vehicle and vehicle-to-infrastructure communication systems.


BUDGET YEAR: 2014-05-01
IMPACT: EFFICIENCY