Paper Info
Title
A New Online Travel Time Estimation Approach using Distorted Automatic Vehicle Identification Data
Abstract
Online travel time estimation is an important procedure for real-time traffic information systems (RTIS). In this paper, we describe a preliminary travel time data collection and estimation platform developed for RTIS application based on automated vehicle identification technique deployed in the Stockholm city area. The platform is composed of a client-side travel time analysis program and a database server. To obtain accurate real-time link travel times for traffic state prediction and RTIS applications, an optimal filtering algorithm is developed and evaluated using travel time data collected on urban streets in and near the city of Stockholm. The proposed algorithm shows reliable performance against the highly noisy traffic context, and is more robust than existing online travel time estimation algorithms. The estimated travel time information provides a solid basis for advanced traffic information system applications.
Year
DOI
Venue
2008
10.1109/ITSC.2008.4732576
ITSC
Keywords
Field
DocType
client-server systems,database management systems,real-time systems,road vehicles,traffic information systems,client-side travel time analysis program,database server,distorted automatic vehicle identification data,intelligent transportation system,online travel time estimation approach,optimal filtering algorithm,real-time traffic information system,traffic state prediction,real time,prediction algorithms,real time systems,information system,databases,data collection,mathematical model,estimation,computer and information science,real time information,estimating
Information system,Data collection,Real-time data,Simulation,Filter (signal processing),Engineering,Intelligent transportation system,Database server,Travel time,Information and Computer Science
Conference
ISBN
Citations 
PageRank 
978-1-4244-2112-1
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Xiaoliang Ma118218.51
Koutsopoulos, H.N.2323.28