Paper Info
Title
Route travel time estimation using low-frequency floating car data
Abstract
The paper develops a non-parametric method for route travel time estimation using low-frequency floating car data (FCD). While most previous work has focused on link travel time estimation, the method uses FCD observations directly for estimating the travel time distribution on a defined route. A list of potential biases associated with FCD is presented and discussed. For each source of bias, a correction method for the observations is proposed. The estimation method is implemented using FCD data from taxis in Stockholm, Sweden. Estimates are compared to observed travel times for two routes equipped with automatic number plate recognition (ANPR) cameras. The mean travel time estimates incorporating all bias corrections perform equally well or better than the link-based approach in terms of RMSE, and estimated percentiles show a good match to ANPR.
Year
DOI
Venue
2013
10.1109/ITSC.2013.6728569
ITSC
Keywords
Field
DocType
cameras,object recognition,traffic engineering computing,anpr,fcd,rmse,stockholm,sweden,automatic number plate recognition cameras,correction method,estimation method,link-based approach,low-frequency floating car data,nonparametric method,route travel time estimation,estimating,floating car data
Low frequency,Simulation,Taxis,Floating car data,Mean squared error,Engineering,Travel time,Percentile,Cognitive neuroscience of visual object recognition
Conference
ISSN
Citations 
PageRank 
2153-0009
8
0.70
References 
Authors
2
3
Name
Order
Citations
PageRank
Mahmood Rahmani1364.01
Erik Jenelius2101.11
Koutsopoulos, H.N.3323.28