Intelligent Transportation Control based on Proactive Complex Event Processing

Intelligent Transportation Control based on Proactive Complex Event Processing

Complex Event Processing (CEP) has become the key part of Internet of Things (IoT). Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control. In this paper, we propose a proactive CEP architecture and...

Full description

Bibliographic Details
Main Authors: Wang Yongheng, Geng Shaofeng, Li Qian
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167709004
id doaj-3310e331fbcc4872ae3c6a123a4028b6
record_format Article
spelling doaj-3310e331fbcc4872ae3c6a123a4028b62021-04-02T11:17:25ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01770900410.1051/matecconf/20167709004matecconf_icmmr2016_09004Intelligent Transportation Control based on Proactive Complex Event ProcessingWang YonghengGeng ShaofengLi QianComplex Event Processing (CEP) has become the key part of Internet of Things (IoT). Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control. In this paper, we propose a proactive CEP architecture and method for intelligent transportation control. Based on basic CEP technology and predictive analytic technology, a networked distributed Markov decision processes model with predicting states is proposed as sequential decision model. A Q-learning method is proposed for this model. The experimental evaluations show that this method works well when used to control congestion in in intelligent transportation systems.http://dx.doi.org/10.1051/matecconf/20167709004
collection DOAJ
language English
format Article
sources DOAJ
author Wang Yongheng
Geng Shaofeng
Li Qian
spellingShingle Wang Yongheng
Geng Shaofeng
Li Qian
Intelligent Transportation Control based on Proactive Complex Event Processing
MATEC Web of Conferences
author_facet Wang Yongheng
Geng Shaofeng
Li Qian
author_sort Wang Yongheng
title Intelligent Transportation Control based on Proactive Complex Event Processing
title_short Intelligent Transportation Control based on Proactive Complex Event Processing
title_full Intelligent Transportation Control based on Proactive Complex Event Processing
title_fullStr Intelligent Transportation Control based on Proactive Complex Event Processing
title_full_unstemmed Intelligent Transportation Control based on Proactive Complex Event Processing
title_sort intelligent transportation control based on proactive complex event processing
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description Complex Event Processing (CEP) has become the key part of Internet of Things (IoT). Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control. In this paper, we propose a proactive CEP architecture and method for intelligent transportation control. Based on basic CEP technology and predictive analytic technology, a networked distributed Markov decision processes model with predicting states is proposed as sequential decision model. A Q-learning method is proposed for this model. The experimental evaluations show that this method works well when used to control congestion in in intelligent transportation systems.
url http://dx.doi.org/10.1051/matecconf/20167709004
work_keys_str_mv AT wangyongheng intelligenttransportationcontrolbasedonproactivecomplexeventprocessing
AT gengshaofeng intelligenttransportationcontrolbasedonproactivecomplexeventprocessing
AT liqian intelligenttransportationcontrolbasedonproactivecomplexeventprocessing
_version_ 1724165105354014720

Similar Items