Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections
This project aims to utilise results from numerical simulations of a simplified Connected Autonomous Vehicle (CAV) platoon control model in order to better understand the potential behaviours of CAV platoons at signal-free intersections. The first section will present a modified and simplified ve...
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2020
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sg-ntu-dr.10356-1402772023-07-07T18:47:54Z Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections Chee, Kenneth Wai Kuin Su Rong School of Electrical and Electronic Engineering rsu@ntu.edu.sg Engineering::Electrical and electronic engineering This project aims to utilise results from numerical simulations of a simplified Connected Autonomous Vehicle (CAV) platoon control model in order to better understand the potential behaviours of CAV platoons at signal-free intersections. The first section will present a modified and simplified version of an existing control model for CAV platoons and how its parameters were determined. The second section will present the results and analysis of numerical simulations, performed on the model in MATLAB, based on six different scenarios: (i) ideal, (ii) with homogeneous communication time delays, (iii) with heterogeneous communication time delays, (iv) with network noise disturbances, (v) with network noise disturbances and homogeneous communication time delays, and (vi) with network noise disturbances and heterogeneous communication time delays. The results indicate that to ensure safe-passage for a CAV platoon across a signal-free intersection, the constant control gains of the simulation model must be appropriately determined. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-27T11:59:38Z 2020-05-27T11:59:38Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140277 en A1174-191 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Chee, Kenneth Wai Kuin Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections |
description |
This project aims to utilise results from numerical simulations of a simplified
Connected Autonomous Vehicle (CAV) platoon control model in order to better
understand the potential behaviours of CAV platoons at signal-free intersections.
The first section will present a modified and simplified version of an existing control
model for CAV platoons and how its parameters were determined.
The second section will present the results and analysis of numerical simulations,
performed on the model in MATLAB, based on six different scenarios: (i) ideal, (ii)
with homogeneous communication time delays, (iii) with heterogeneous
communication time delays, (iv) with network noise disturbances, (v) with network
noise disturbances and homogeneous communication time delays, and (vi) with
network noise disturbances and heterogeneous communication time delays.
The results indicate that to ensure safe-passage for a CAV platoon across a signal-free
intersection, the constant control gains of the simulation model must be appropriately
determined. |
author2 |
Su Rong |
author_facet |
Su Rong Chee, Kenneth Wai Kuin |
format |
Final Year Project |
author |
Chee, Kenneth Wai Kuin |
author_sort |
Chee, Kenneth Wai Kuin |
title |
Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections |
title_short |
Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections |
title_full |
Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections |
title_fullStr |
Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections |
title_full_unstemmed |
Safe passage simulation of connected autonomous vehicle platoons at signal-free intersections |
title_sort |
safe passage simulation of connected autonomous vehicle platoons at signal-free intersections |
publisher |
Nanyang Technological University |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/140277 |
_version_ |
1772828664404115456 |