Big Data Analysis of Vehicle Sharing With Respect To Environmental Pollution
International Journal for Research in Applied Science and Engineering Technology
As the populations increase in a rapid phase the commutation between the work and the home in busy street becomes more and more difficult. Personally we spend a lot of money and next time is being wasted, environmental wise due to traffic a lot of pollution is being generated. To address both the issues simultaneously is the main objective is, the taxi ride sharing solves the problem both personally and environmentally. The measure to quantitatively weigh the amount of traffic controlled or
... c controlled or total air pollution reduced is a big boost for the government to plan in the future. We get the distance from the map between the present location and target location and calculate the air pollution and traffic saved but it cannot be the same scenario every time, suppose there is heavy traffic in the shortest path instead of taking it we cloud choose the bit longer path avoiding the traffic thus saving the time and fuel . To measure the pollution controlled we get the information from the pollution control board and calculate the time the engine was on and fuel exhausted. We also implement the intelligent routing for choosing the path based on the current traffic scenario so as to find the optimal route which reduces traffic and pollution. The main purpose of the system is to improve the overall efficiency of the traffic control over the city with the effective usage of the vehicles for the cabs. The big data analysis of the traffic graph gives insight to government for the future planning of the roads and other projects.