Traffic flow simulation validation

Transportation issues are a major concern among ordinary citizens, as majority of the population travels between places daily. Singapore being one of the highly dense countries in the world, have to cope with the travel demand of its population. This increasing need for transportation is one of the...

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Main Author: Ang, Yong Chuan
Other Authors: Cai Wentong
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74298
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-742982023-03-03T20:45:48Z Traffic flow simulation validation Ang, Yong Chuan Cai Wentong School of Computer Science and Engineering TUMCREATE DRNTU::Engineering Transportation issues are a major concern among ordinary citizens, as majority of the population travels between places daily. Singapore being one of the highly dense countries in the world, have to cope with the travel demand of its population. This increasing need for transportation is one of the factors that motivates researchers to study more about the traffic to get a better understanding about the phenomenon. Traffic simulator is a method widely used to learn and evaluate potential solutions by replicating the environment and the vehicle's behaviours as it allows researchers to test complex behaviour and scenarios in a risk-free environment. This study focus is on evaluating whether the traffic flow generated by simulation framework of CityMoS, a microscopic agent-based traffic simulator is similar with the real traffic observed in Singapore, through calibrating the "numberofAgents" parameters in CityMoS which defines the number of agents in the simulation in an attempt to replicate and resemble the traffic condition in Singapore. Overall, by calibrating only the “numberofAgents” parameter in CityMoS, it is able to resemble approximately 15% of the traffic condition in Singapore. There are still many areas which can be done to enhance it further which is not covered in the scope of this project. Finally, a discussion on the reasons affecting the matching percentage and the recommendation on how to improve CityMoS is given for future implementation. Bachelor of Engineering (Computer Science) 2018-05-15T03:15:54Z 2018-05-15T03:15:54Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74298 en Nanyang Technological University 48 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
spellingShingle DRNTU::Engineering
Ang, Yong Chuan
Traffic flow simulation validation
description Transportation issues are a major concern among ordinary citizens, as majority of the population travels between places daily. Singapore being one of the highly dense countries in the world, have to cope with the travel demand of its population. This increasing need for transportation is one of the factors that motivates researchers to study more about the traffic to get a better understanding about the phenomenon. Traffic simulator is a method widely used to learn and evaluate potential solutions by replicating the environment and the vehicle's behaviours as it allows researchers to test complex behaviour and scenarios in a risk-free environment. This study focus is on evaluating whether the traffic flow generated by simulation framework of CityMoS, a microscopic agent-based traffic simulator is similar with the real traffic observed in Singapore, through calibrating the "numberofAgents" parameters in CityMoS which defines the number of agents in the simulation in an attempt to replicate and resemble the traffic condition in Singapore. Overall, by calibrating only the “numberofAgents” parameter in CityMoS, it is able to resemble approximately 15% of the traffic condition in Singapore. There are still many areas which can be done to enhance it further which is not covered in the scope of this project. Finally, a discussion on the reasons affecting the matching percentage and the recommendation on how to improve CityMoS is given for future implementation.
author2 Cai Wentong
author_facet Cai Wentong
Ang, Yong Chuan
format Final Year Project
author Ang, Yong Chuan
author_sort Ang, Yong Chuan
title Traffic flow simulation validation
title_short Traffic flow simulation validation
title_full Traffic flow simulation validation
title_fullStr Traffic flow simulation validation
title_full_unstemmed Traffic flow simulation validation
title_sort traffic flow simulation validation
publishDate 2018
url http://hdl.handle.net/10356/74298
_version_ 1759856484523442176