An analytical study on Directions and Profile Matching for Carpool System

Jyoti Ranjan Mohanty, Dr. Jitendra Sheetlani, Dr. Rasmi Ranjan Patra

Abstract


These days, numbers of citizens are exploring different approaches to make  better effective use of existing resources. In country like India, there are nearly about one to two people for every car and the number of person in an average car is nearly five. As a result of this, it is clearly understandable that the car driving has great potential for competence in this regard, on the basis of sharing of personal vehicles. Plenty of time and energy is saved by Carpooling, from a public and environmental point of view, but most importantly it reduces air pollution. Carpooling can share the location of each car between people with similar path or route. Carpooling evolved as an economical and anxiety-free system for distribution. In this analytical study paper, presentation of information is made about an overview of computer-based platforms that improve sustainability. In particular, this discussion will help car users choose the basis of transportation solutions for their natural footprint based on their needs, preferences and location. The success rate of this automotive system is based on the relative routes that directly connect traditional points and destinations to the most involved passengers and increase the integer of association from single to double, requiring change in two successive passengers. This analytical study paper reviews from the artistic nature of the modern carpooling method. It identifies the most important challenges in adopting modern carpooling system and the anticipated results to the same identified problems.


Keywords


Carpooling, Genetic algorithm, CLACSOON, AICS, HTTP, Mobile Client

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References


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DOI: https://doi.org/10.26483/ijarcs.v11i5.6653

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