Spatio-temporal analysis of traffic incidents and their effect on speed

Intelligent Transportation Systems (ITS) represent a major transition in transportation on many dimensions. Advancements in sensor technologies have enhanced the efficiency of existing transportation and increased the safety of traffic operations. A detailed set of traffic information is part and pa...

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Main Author: Saha Liza
Other Authors: Justin Dauwels
Format: Theses and Dissertations
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68957
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-689572023-07-04T16:37:52Z Spatio-temporal analysis of traffic incidents and their effect on speed Saha Liza Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Intelligent Transportation Systems (ITS) represent a major transition in transportation on many dimensions. Advancements in sensor technologies have enhanced the efficiency of existing transportation and increased the safety of traffic operations. A detailed set of traffic information is part and parcel of modern ITS system in which available data is more reliable, easy to collect and more complete. Traffic incidents have long been recognised as the main contributor of congestion in road way network. Traffic Response Systems for traffic related congestion during peak periods continues to be one of the most important challenges facing road management.In this project we identify incident-components on different highways and try to correlate them with traffic parameters, (e.g., traffic speed) to help improve the traffic response and route planner systems. We integrated these data sets obtained from LTA Singapore (incidents and speed data) and other sources, and evaluated the effects of traffic incidents on average traffic speed on the affected links. We also investigate different incident patterns (spatial and temporal) to investigate the impact of incidents on traffic speed especially in its neighbouring links. The objective of this project is to help avoid traffic congestion and help make route guidance better by building an efficient and robust traffic prediction model. The numerical results show that specific incident types have a considerable effect on traffic speed. These obtained results can be utilised in future research to build the proposed traffic prediction model. Master of Science (Computer Control and Automation) 2016-08-17T02:54:51Z 2016-08-17T02:54:51Z 2016 Thesis http://hdl.handle.net/10356/68957 en 70 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Saha Liza
Spatio-temporal analysis of traffic incidents and their effect on speed
description Intelligent Transportation Systems (ITS) represent a major transition in transportation on many dimensions. Advancements in sensor technologies have enhanced the efficiency of existing transportation and increased the safety of traffic operations. A detailed set of traffic information is part and parcel of modern ITS system in which available data is more reliable, easy to collect and more complete. Traffic incidents have long been recognised as the main contributor of congestion in road way network. Traffic Response Systems for traffic related congestion during peak periods continues to be one of the most important challenges facing road management.In this project we identify incident-components on different highways and try to correlate them with traffic parameters, (e.g., traffic speed) to help improve the traffic response and route planner systems. We integrated these data sets obtained from LTA Singapore (incidents and speed data) and other sources, and evaluated the effects of traffic incidents on average traffic speed on the affected links. We also investigate different incident patterns (spatial and temporal) to investigate the impact of incidents on traffic speed especially in its neighbouring links. The objective of this project is to help avoid traffic congestion and help make route guidance better by building an efficient and robust traffic prediction model. The numerical results show that specific incident types have a considerable effect on traffic speed. These obtained results can be utilised in future research to build the proposed traffic prediction model.
author2 Justin Dauwels
author_facet Justin Dauwels
Saha Liza
format Theses and Dissertations
author Saha Liza
author_sort Saha Liza
title Spatio-temporal analysis of traffic incidents and their effect on speed
title_short Spatio-temporal analysis of traffic incidents and their effect on speed
title_full Spatio-temporal analysis of traffic incidents and their effect on speed
title_fullStr Spatio-temporal analysis of traffic incidents and their effect on speed
title_full_unstemmed Spatio-temporal analysis of traffic incidents and their effect on speed
title_sort spatio-temporal analysis of traffic incidents and their effect on speed
publishDate 2016
url http://hdl.handle.net/10356/68957
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