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A method is proposed for estimating driver's intended route and destination. Probabilistic Bayesian models are employed to analyze the history of driving for individuals, where data attributes are GPS traces captured during trips from fleet of cars. The proposed probabilistic model is built up in the road graph level which is associated with its corresponding destination/origin and additional data...
In recent years, the widespread adoption of GPS enabled vehicles brings the Location Based Services new opportunities. It benefits many related fields such as urban planning, city traffic modeling, personalized recommendations and driving suggestions. The service providers can understand their users better by modeling the mobility pattern and provide more personalized services by predicting the destination...
The emphasis of this research effort was on using historical GPS data to develop a dynamic model to forecast long-term path travel times between bus stops of origin and destination. This study was brought about by the shortcomings of the existing real-time short-term prediction system, which have been developed and utilised in Beijing. The developed model is based on cluster analysis and polynomial...
Public transport, especially the bus transport, can reduce the private car usage and fuel consumption, and alleviate traffic congestion. However, when traveling with buses, the travelers not only care about the waiting time, but also care about the crowdedness in the bus. Excessively overcrowded bus may drive away the anxious travelers and make them reluctant to take buses. So accurate, real-time...
Advanced traveler information systems (ATIS) are one component of intelligent transportation systems (ITS), and a major component of ATIS is travel time information. Global positioning system-based automatic vehicle location (AVL) systems have been adopted by many transit agencies for tracking their vehicles and predicting travel time in real time. It is a very important subject to improve the precision...
Traffic jam is a major problem in Bangkok and nearby provinces in Thailand. Currently, there have been several attempts to solve this elevating problem by using GPS together with GPRS technologies in tracking and collecting traffic data from vehicles. In this work, we obtained one-month records of GPS data from 297 volunteered vehicles. Using vehicles' velocity as input, we have developed a travel...
As more and more vehicles are being introduced into the urban streets every year, congestion has become a serious problem in the context of urban transport around the world. A desirable strategy to deal with such issues is to shift more people from personal vehicles to public transport by providing better service (comfort, convenience and so on). Travel time information is a vital component of many...
This report summarizes the methodologies and techniques we developed and applied for tackling task 3 of the IEEE ICDM Contest on predicting traffic velocity based on GPS data. The major components of our solution include 1) A pre-processing procedure to map GPS data to the network, 2) A K-nearest neighbor approach for identifying the most similar training hours for every test hour, and 3) A heuristic...
In order to improve the performance of integrated navigation system, the property of odometer navigation and the problem of calibration for odometer scale factor is researched, and a novel odometer calibration method based on the grey theory is proposed in this paper. In this method, the grey model is built and updated with a few real-time or historical sensor data, and in most time in navigating,...
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