• Akshay Shinde Trinity College of Engg and Research Pune
  • Rohit Badole Trinity College of Engg and Research Pune
  • Tushar Khachane Trinity College of Engg and Research Pune
  • Akshay Bavalekar Trinity College of Engg and Research Pune


As the number of vehicles continues to raise, parking spaces are at a premium in city streets. In gathering, due to the lack of knowledge about street parking spaces, heuristic circling in the thoroughfares not only expenditures drivers’ interval and fuel, but also increases city overcrowding. In the come around of the recent trend on the system to build convenient, green, and energy-efficient smart conurbations, common techniques implemented by high-profile smart parking organisations be situated look over, and the concert of the various approaches are compared. A mobile sensing unit has been advanced as an alternative to the fixed sensing approach. This one is mounted on the passenger parallel of a car to measure the distance from the vehicle to the nearest roadside obstacle. By extracting parked vehicles’ features from the collected trace, a supervised learning set of rules go without been developed to calculation roadside parking occupancy. Multiple road assessments were conducted around Wheatley (Oxfordshire) and Guildford (Surrey) in the U.K. In the case of accurate GPS readings, enhanced by a map equivalent performance, the accuracy of the organisation be situated in the air 90%.


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How to Cite

Akshay Shinde, Rohit Badole, Tushar Khachane, & Akshay Bavalekar. (2019). EPARK-SOFTWARE BASED PARKING SYSTEM. International Education and Research Journal (IERJ), 5(5). Retrieved from https://ierj.in/journal/index.php/ierj/article/view/1791