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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/149920 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-149920 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.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 |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Electrical and electronic engineering |
spellingShingle |
Engineering::Electrical and electronic engineering Chang, Alicia Yun Lin Alternative traffic signal prediction model |
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. |
author2 |
Su Rong |
author_facet |
Su Rong Chang, Alicia Yun Lin |
format |
Final Year Project |
author |
Chang, Alicia Yun Lin |
author_sort |
Chang, Alicia Yun Lin |
title |
Alternative traffic signal prediction model |
title_short |
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_sort |
alternative traffic signal prediction model |
publisher |
Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/149920 |
_version_ |
1772826799668985856 |