Optimization of transportation in a resort park
Since the advancement of technology in the area of artificial intelligence over the years, engineers had started tapping on these resources to implement in the transportation sector. Selfdriving cars and autonomous vehicles (AV) are the outcome of the implementation of Artificial Intelligence resour...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/71694 |
| _version_ | 1826123345464131584 |
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| author | Tan, Xin Yi |
| author2 | Justin Dauwels |
| author_facet | Justin Dauwels Tan, Xin Yi |
| author_sort | Tan, Xin Yi |
| collection | NTU |
| description | Since the advancement of technology in the area of artificial intelligence over the years, engineers had started tapping on these resources to implement in the transportation sector. Selfdriving cars and autonomous vehicles (AV) are the outcome of the implementation of Artificial Intelligence resources in the field of transportation. In addition, with the deployment of autonomous vehicles on the ground by various countries, there is an increase in popularity and acceptance by the public to use AV as a tool to increase efficiency of the traffic. In Singapore, ST engineering (STE) had taken this initiative to test on a fleet of AVs to transport passengers from one location to another in Sentosa. In this project, PTV Vissim had been selected to model the network of Sentosa, the behaviour of the visitors and the routes of the existing public transport lines using real-time data to simulate realistic situations. Furthermore, to increase the relationship between visitors and the existing Sentosa public transportation, MATLAB had been selected as the programming language to program COM which acted as a “control centre” to manage the number of passengers waiting to travel from one area to another. With both the software and simulation platform in place, the next step would be to develop an on-demand algorithm to activate fleet of AVs/buses to meet the passengers’ needs during peak period to reduce waiting time. |
| first_indexed | 2024-10-01T06:03:08Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/71694 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:03:08Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/716942023-07-07T17:59:01Z Optimization of transportation in a resort park Tan, Xin Yi Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Since the advancement of technology in the area of artificial intelligence over the years, engineers had started tapping on these resources to implement in the transportation sector. Selfdriving cars and autonomous vehicles (AV) are the outcome of the implementation of Artificial Intelligence resources in the field of transportation. In addition, with the deployment of autonomous vehicles on the ground by various countries, there is an increase in popularity and acceptance by the public to use AV as a tool to increase efficiency of the traffic. In Singapore, ST engineering (STE) had taken this initiative to test on a fleet of AVs to transport passengers from one location to another in Sentosa. In this project, PTV Vissim had been selected to model the network of Sentosa, the behaviour of the visitors and the routes of the existing public transport lines using real-time data to simulate realistic situations. Furthermore, to increase the relationship between visitors and the existing Sentosa public transportation, MATLAB had been selected as the programming language to program COM which acted as a “control centre” to manage the number of passengers waiting to travel from one area to another. With both the software and simulation platform in place, the next step would be to develop an on-demand algorithm to activate fleet of AVs/buses to meet the passengers’ needs during peak period to reduce waiting time. Bachelor of Engineering 2017-05-18T08:55:39Z 2017-05-18T08:55:39Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71694 en Nanyang Technological University 135 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Tan, Xin Yi Optimization of transportation in a resort park |
| title | Optimization of transportation in a resort park |
| title_full | Optimization of transportation in a resort park |
| title_fullStr | Optimization of transportation in a resort park |
| title_full_unstemmed | Optimization of transportation in a resort park |
| title_short | Optimization of transportation in a resort park |
| title_sort | optimization of transportation in a resort park |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/71694 |
| work_keys_str_mv | AT tanxinyi optimizationoftransportationinaresortpark |