NDLI: A spatial-temporal data model for choosing optimal multimodal routes in urban areas

Content Provider	IEEE Xplore Digital Library
Author	Dragomir, G.
Copyright Year	2012
Description	Author affiliation: Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania (Dragomir, G.)
Abstract	In this paper we present an intelligent transportation system which help user in planning a route in a city, enhanced by various factors (be as fast as possible, be as short as possible, to involve or not changing the means of transport, etc). The new elements that bring the system proposed in the paper are: a static model of route planning combined with update in real time of traffic data; the data are retained to form a history from where being extracted patterns; the user can request an estimate of an optimal route for a current or a future time; the system takes account of uncertainty and provides a probability based on current data so that the proposed route to be carried out according to the estimate; operators to update the traffic data and return traffic routes subject to optimization criteria and time constraints. The proposed system was tested on an object-relational database with relevant data for the city of Cluj-Napoca. The results were revealing the advantages of estimating a route with real time data vs. historical data. However in the implementation of such solutions attention should be given to data sources that supply system (our tests were done on simulation data).
Starting Page	37
Ending Page	40
File Size	245753
Page Count	4
File Format	PDF
ISBN	9781467329538
e-ISBN	9781467329521
DOI	10.1109/ICCP.2012.6356158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-30
Publisher Place	Romania
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	databases spatial-temporal data Databases Roads Data models Real-time systems Servers transportation network Vehicles
Content Type	Text
Resource Type	Article

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