Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads

This thesis focused on the issue of lane change behavior and prediction, which is directly related to the safety of intelligent driving and intelligent vehicles in smart cities. By analyzing actual data, the study investigated the characteristics of lane-changing behavior and developed a model to fo...

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Main Author: Zhang, Jialu
Other Authors: Su Rong
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167154
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1671542023-07-04T16:44:44Z Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads Zhang, Jialu Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering This thesis focused on the issue of lane change behavior and prediction, which is directly related to the safety of intelligent driving and intelligent vehicles in smart cities. By analyzing actual data, the study investigated the characteristics of lane-changing behavior and developed a model to forecast lane changes. The research compared a number of lane change prediction methods based on different algorithms and confirmed the effectiveness of SVM and MLP methods. It also highlighted the importance of understanding the different types of lane-changing behavior and the factors that influence it, including the lane’s position in relation to highway entrances and exits. Master of Science (Computer Control and Automation) 2023-05-15T06:52:39Z 2023-05-15T06:52:39Z 2023 Thesis-Master by Coursework Zhang, J. (2023). Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167154 https://hdl.handle.net/10356/167154 en 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
Zhang, Jialu
Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads
description This thesis focused on the issue of lane change behavior and prediction, which is directly related to the safety of intelligent driving and intelligent vehicles in smart cities. By analyzing actual data, the study investigated the characteristics of lane-changing behavior and developed a model to forecast lane changes. The research compared a number of lane change prediction methods based on different algorithms and confirmed the effectiveness of SVM and MLP methods. It also highlighted the importance of understanding the different types of lane-changing behavior and the factors that influence it, including the lane’s position in relation to highway entrances and exits.
author2 Su Rong
author_facet Su Rong
Zhang, Jialu
format Thesis-Master by Coursework
author Zhang, Jialu
author_sort Zhang, Jialu
title Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads
title_short Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads
title_full Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads
title_fullStr Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads
title_full_unstemmed Simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads
title_sort simulation and modeling for mixed traffic flow with autonomous connected vehicles and human drivers on urban roads
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167154
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