About Us
Background
This is a final yearn project (FYP18028) of three undergraduate students from the computer science department at the University of Hong Kong.
Our Vision
Ride-sharing could help Hong Kong realise its full potential as a smart city. However, there is no ride-sharing app or platform that is reasonably popularised in our city so far. Our mission is to develop an easy-to-use ride-sharing app for HK using cutting-edge algorithmic from recent academic research. We want to provide a convenient, reliable, and economic mean to hongkongers for daily commutating to workplace or to school, and thus improve the Hong Kong Public Transportation System.
Our Objective
This project aims to build a ride sharing app in both iOS and Android platform for Hong Kong. The application is implemented by the existing algorithm for suggest possible match after the users choose their start and end destination. The project tries to compare different algorithm and choose the one have better outcome in different aspect such as running time, route and waiting time etc.
To make the application easy-to-use, it separates the driver and passenger with different function. Drivers can provide their available area or the one way route in particular time. Beside, passengers need to input their start and end destination and the matching will start automatically. After that, they just need to take some time to the target pick up location to have the ride.
The intermediate goal is finishing main function of the application. It include simple layout - login page, google map, selection page - allow identify the user and make the matching. Also, this project will set up the back-end server for implement the algorithm with simple feature. This algorithm only have the simple function which match with one or two people within the same area only.
The ultimate goal is trying to improve the algorithm. Using different algorithm for different situation and choose to using the algorithm with better result. For example, diver can pick up two or more passengers at the different location during a ride and the algorithm help finding the route with only a little additional cost to the driver. This project will use several cutting-edge matching algorithms to make it works. In addition, update the application with a better user interface and attracting the people.
Our FYP supervisor
Dr. Huang Z.Y.
Our team members
Lau Chi Ho, Eric
Lau Chun Yin, Elven
Leung Hon Man, Anthony