3D Markov Process for Traffic Flow Prediction in Real-Time

Collection with item attached
2016
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473430.do
DOI
10.3390/s16020147
Title
3D Markov Process for Traffic Flow Prediction in Real-Time
Description
This paper was supported by Konkuk University in 2013.
abstract
Recently, the correct estimation of traffic flow has begun to be considered an essential component in intelligent transportation systems. In this paper, a new statistical method to predict traffic flows using time series analyses and geometric correlations is proposed. The novelty of the proposed method is two-fold: (1) a 3D heat map is designed to describe the traffic conditions between roads, which can effectively represent the correlations between spatially- and temporally-adjacent traffic states; and (2) the relationship between the adjacent roads on the spatiotemporal domain is represented by cliques in MRF and the clique parameters are obtained by example-based learning. In order to assess the validity of the proposed method, it is tested using data from expressway traffic that are provided by the Korean Expressway Corporation, and the performance of the proposed method is compared with existing approaches. The results demonstrate that the proposed method can predict traffic conditions with an accuracy of 85%, and this accuracy can be improved further.
provenance
Made available in Cube on 2018-09-28T10:19:20Z (GMT). No. of bitstreams: 0
language
English
author
Ko, Eunjeong
Ahn, Jinyoung
Kim, Eun Yi
orcid
Ko, Eunjeong/0000-0001-8616-4169
accessioned
2018-09-28T10:19:20Z
available
2018-09-28T10:19:20Z
issued
2016
citation
SENSORS(16): 2
issn
1424-8220
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473430.do
Funder
미래창조과학부
Funding Program
신진연구자지원
Project ID
1711023839
Jurisdiction
Rep.of Korea
Project Name
EYECARE(EYE for CARing the visually impaired): Vision-based system to support mobility and wayfinding to the visually impaired
rights
openAccess
subject
heat map
traffic flow forecasting
spatio-temporal domain
Markovprocess
vehicle detection sensor
type
article


Files in This Item

There are no attached files.