Alternative traffic signal prediction model

In this paper, an alternate version of traffic model is proposed to measure the same related work to track and detect transition time based on vehicle’s displacement from the starting point. The research problem is to find a more efficient and/or a more accurate method to measure the small traffic s...

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Bibliografske podrobnosti
Glavni avtor: Chang, Alicia Yun Lin
Drugi avtorji: Su Rong
Format: Final Year Project (FYP)
Jezik:English
Izdano: Nanyang Technological University 2021
Teme:
Online dostop:https://hdl.handle.net/10356/149920
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author Chang, Alicia Yun Lin
author2 Su Rong
author_facet Su Rong
Chang, Alicia Yun Lin
author_sort Chang, Alicia Yun Lin
collection NTU
description In this paper, an alternate version of traffic model is proposed to measure the same related work to track and detect transition time based on vehicle’s displacement from the starting point. The research problem is to find a more efficient and/or a more accurate method to measure the small traffic signal transition time. The experimental data will be collected in Singapore, one intersection during the peak hours. This report aims to test an alternative variable method of the same studies done by Mr Luo Rui Kang on traffic signal prediction to get similar or close to results from his paper. In the final analysis, the alternative variable used to present the same or similar data for traffic system prediction is the data collected from the distance change with respect to the time change in traffic transition change. An analysis collated will also be presented for this transition.
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spelling ntu-10356/1499202023-07-07T18:30:01Z Alternative traffic signal prediction model Chang, Alicia Yun Lin Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering In this paper, an alternate version of traffic model is proposed to measure the same related work to track and detect transition time based on vehicle’s displacement from the starting point. The research problem is to find a more efficient and/or a more accurate method to measure the small traffic signal transition time. The experimental data will be collected in Singapore, one intersection during the peak hours. This report aims to test an alternative variable method of the same studies done by Mr Luo Rui Kang on traffic signal prediction to get similar or close to results from his paper. In the final analysis, the alternative variable used to present the same or similar data for traffic system prediction is the data collected from the distance change with respect to the time change in traffic transition change. An analysis collated will also be presented for this transition. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-11T03:00:08Z 2021-06-11T03:00:08Z 2021 Final Year Project (FYP) Chang, A. Y. L. (2021). Alternative traffic signal prediction model. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149920 https://hdl.handle.net/10356/149920 en A1134-201 application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering
Chang, Alicia Yun Lin
Alternative traffic signal prediction model
title Alternative traffic signal prediction model
title_full Alternative traffic signal prediction model
title_fullStr Alternative traffic signal prediction model
title_full_unstemmed Alternative traffic signal prediction model
title_short Alternative traffic signal prediction model
title_sort alternative traffic signal prediction model
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/149920
work_keys_str_mv AT changaliciayunlin alternativetrafficsignalpredictionmodel