Simulation based safety assessment of autonomous vehicles

Automated Vehicles (AV) that are currently being developed, have to be assessed whether they are able to conform to the general traffic rules and whether they can ensure functional, behavioral safety during their operation. However, physical testing on the road or on a test circuit has several limit...

Full description

Saved in:
Bibliographic Details
Main Author: Jeyaraj, Sherine
Other Authors: Justin Dauwels
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78434
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-78434
record_format dspace
spelling sg-ntu-dr.10356-784342023-07-04T16:09:16Z Simulation based safety assessment of autonomous vehicles Jeyaraj, Sherine Justin Dauwels School of Electrical and Electronic Engineering Centre of Excellence for Testing & Research of Autonomous Vehicles NTU (CETRAN) DRNTU::Engineering::Electrical and electronic engineering Automated Vehicles (AV) that are currently being developed, have to be assessed whether they are able to conform to the general traffic rules and whether they can ensure functional, behavioral safety during their operation. However, physical testing on the road or on a test circuit has several limitations including the potential risk of causing damage to life and property. This brings out the need for scenario-based virtual testing of critical situations that can be reproduced in a realistic simulation environment, where the AV software can be allowed to operate independently in different conditions. The work in this thesis focuses on developing a co-simulation framework which connects a third-party driver model to another simulation environment. Safety is analyzed by recording the vehicle behaviour data using simulations and calculating some crucial parameters. For different configurations of the afore-mentioned, the simulation data is analyzed. Master of Science (Computer Control and Automation) 2019-06-20T02:52:30Z 2019-06-20T02:52:30Z 2019 Thesis http://hdl.handle.net/10356/78434 en 79 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::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Jeyaraj, Sherine
Simulation based safety assessment of autonomous vehicles
description Automated Vehicles (AV) that are currently being developed, have to be assessed whether they are able to conform to the general traffic rules and whether they can ensure functional, behavioral safety during their operation. However, physical testing on the road or on a test circuit has several limitations including the potential risk of causing damage to life and property. This brings out the need for scenario-based virtual testing of critical situations that can be reproduced in a realistic simulation environment, where the AV software can be allowed to operate independently in different conditions. The work in this thesis focuses on developing a co-simulation framework which connects a third-party driver model to another simulation environment. Safety is analyzed by recording the vehicle behaviour data using simulations and calculating some crucial parameters. For different configurations of the afore-mentioned, the simulation data is analyzed.
author2 Justin Dauwels
author_facet Justin Dauwels
Jeyaraj, Sherine
format Theses and Dissertations
author Jeyaraj, Sherine
author_sort Jeyaraj, Sherine
title Simulation based safety assessment of autonomous vehicles
title_short Simulation based safety assessment of autonomous vehicles
title_full Simulation based safety assessment of autonomous vehicles
title_fullStr Simulation based safety assessment of autonomous vehicles
title_full_unstemmed Simulation based safety assessment of autonomous vehicles
title_sort simulation based safety assessment of autonomous vehicles
publishDate 2019
url http://hdl.handle.net/10356/78434
_version_ 1772828641299791872