Predicting the travel time of arterial traffic using particle filter with speed matrix
Travel time prediction is an essential part of intelligent transportation system applications. However, the existing travel time prediction methods mainly focus on the freeway due to its simplicity and the high coverage of sensors and few researches have been conducted for the urban arterial road. C...
Main Authors: | Yang Qiangrong, Peng Qi |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201818910004 |
Similar Items
-
The Real-time Traffic Information and Travel Time Prediction using CFVD on Arterial Roads in Tourist Areas
by: Chen, Ya-Chin, et al.
Published: (2013) -
SOME EMPIRICAL RELATIONS BETWEEN TRAVEL SPEED, TRAFFIC VOLUME AND TRAFFIC COMPOSITION IN URBAN ARTERIALS
by: Eleni I. VLAHOGIANNI, Ph.D.
Published: (2007-01-01) -
Traffic Route Guidance using Feedback of Predicted Travel Times : Improving Travel Times in the Berlin Traffic Network
by: Bergsten, Arvid, et al.
Published: (2008) -
Traffic speed prediction using ensemble kalman filter and differential evolution
by: Rapant Lukáš
Published: (2019-01-01) -
Travel time predictions: should one model speeds or travel times?
by: Dietmar Bauer, et al.
Published: (2018-10-01)