| Abstract |
In this paper, an optimization theory for efficient usage of public transport is presented, which determines the optimal way of re-routing, aiming to provide appropriate number of buses based on the need in both less crowded and more crowded areas. This tends to improve the quality of the transportation system leading to a smart city. A "smart city" is an integration of several technologies that are capable of making everyday living more sophisticated and comfortable. Smart city is defined in terms of various domains like smart transportation, waste management, energy management, education, etc. The concept of "smart transportation" is the primary concern of this paper. The Internet of things and Information Communicating Technologies are widely being implemented to cater to the needs of a smart city. The arena of Network Management consists of various challenges, out of which the road side traffic poses a potential issue in day-to-day lives. To solve this problem, the current mechanism opted for routing the buses is based on the particular time-period of the day, classified as peak hours and normal hours. According to this, a route in its peak hours has approximately twice the number of buses in its normal hours. Although this serves advantageous to the large student mass and the corporate employees, the rest of the city residents do not fully benefit from it. Therefore, the technique of dynamic rerouting of buses based on the passenger count at that instant can be utilized in order to achieve the goal. This objective is effectively achieved with the help of maximum flow graph algorithm by mapping the bus stops as vertices and bus routes as edges. The vertex capacity denoting the passenger count in the respective bus stops. |