Personal Rapid Transit had gained interest among researchers due to the many issues related to urban mobility. The objective of this study is to develop a mathematic model that simulates this kind of transportation. These simulations allow to study the capacity of such a system of transportation.
The model is built based on the Dijkstra algorithm and ant colony optimization algorithm. A fleet of vehicle is modeled in a 16 km² network. All of these vehicles are operated by a control system which allows an unselfish regulation of the fleet.
There are many ways of how to operate these vehicles; this study will try to find out which one is the best. The influence of how demands of users are assigned in the network will be also studied.
The efficiency of such a PRT system is subject to three main variables: the way the control system is programmed and so the way the vehicles are operated, the repartition of all the stations and to be efficient the system has to be “intelligent” meaning all the vehicles must be operated as a whole.
Finally it has been studied if a PRT system is better used as a main transportation system or as a complement of all the other transportations systems known.
| Date | 11 Sept 2012 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Mathias Glaus (Supervisor) |
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Bibard, E. (Author),
Glaus (Supervisor),
11 Sept 2012Student thesis: Master's thesis › Master in Engineering: Engineering