Multi-modal public transit with autonomous vehicles

Autonomous Vehicles (AVs) are vehicles that are able to navigate by sensing the environment without any requirement for human input. AVs have made tremendous technological advancements in the recent decades, and many visionary technological leaders have touted Autonomous Vehicles (AVs) as the transp...

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Main Author: Wang, Andai
Other Authors: Wang Zhi Wei, David
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/71857
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-718572023-03-03T17:06:09Z Multi-modal public transit with autonomous vehicles Wang, Andai Wang Zhi Wei, David School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Transportation Autonomous Vehicles (AVs) are vehicles that are able to navigate by sensing the environment without any requirement for human input. AVs have made tremendous technological advancements in the recent decades, and many visionary technological leaders have touted Autonomous Vehicles (AVs) as the transport mode of the future. Singapore’s unique transport landscape, especially with the high cost of personal cars, makes taxis much more desired and viable as form of daily transport. LTA hopes that implementing AVs in the future will reduce the number of vehicles on the road, and achieve the vision of a car-lite Singapore. AVs can help to fill in the gaps in public transport service, such as low-serviced areas and last-mile legs. Based on current estimates, AVs are also financially plausible as a taxi service, and improvements in technology will continue to decrease AV costs. Public perception is generally positive towards AVs, but there is still widespread concern and doubt over the safety of AVs. The main challenge will be to help those whose livelihoods are affected by AVs, and upgrade their skills to keep up with the inevitable flow of technology. Bachelor of Engineering (Civil) 2017-05-19T06:29:01Z 2017-05-19T06:29:01Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71857 en Nanyang Technological University 32 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::Civil engineering::Transportation
spellingShingle DRNTU::Engineering::Civil engineering::Transportation
Wang, Andai
Multi-modal public transit with autonomous vehicles
description Autonomous Vehicles (AVs) are vehicles that are able to navigate by sensing the environment without any requirement for human input. AVs have made tremendous technological advancements in the recent decades, and many visionary technological leaders have touted Autonomous Vehicles (AVs) as the transport mode of the future. Singapore’s unique transport landscape, especially with the high cost of personal cars, makes taxis much more desired and viable as form of daily transport. LTA hopes that implementing AVs in the future will reduce the number of vehicles on the road, and achieve the vision of a car-lite Singapore. AVs can help to fill in the gaps in public transport service, such as low-serviced areas and last-mile legs. Based on current estimates, AVs are also financially plausible as a taxi service, and improvements in technology will continue to decrease AV costs. Public perception is generally positive towards AVs, but there is still widespread concern and doubt over the safety of AVs. The main challenge will be to help those whose livelihoods are affected by AVs, and upgrade their skills to keep up with the inevitable flow of technology.
author2 Wang Zhi Wei, David
author_facet Wang Zhi Wei, David
Wang, Andai
format Final Year Project
author Wang, Andai
author_sort Wang, Andai
title Multi-modal public transit with autonomous vehicles
title_short Multi-modal public transit with autonomous vehicles
title_full Multi-modal public transit with autonomous vehicles
title_fullStr Multi-modal public transit with autonomous vehicles
title_full_unstemmed Multi-modal public transit with autonomous vehicles
title_sort multi-modal public transit with autonomous vehicles
publishDate 2017
url http://hdl.handle.net/10356/71857
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