A New Model of Comparative directions and Profile Matching in the Carpooling Computational Systems

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


 Carpooling is a system in which the passenger can share the vehicles and by this means the traffic also reduces due to reducing the no. of vehicle on the road. Most of the government and non-government organization has started the implementation of carpooling system. To implement this system various approaches has been developed but it becomes essentials that the selection of optimal distance for picking the passenger for improving the recital of the system. So in this research work, we use graph traversal technique to find the effective path and it is tested to find the optimal solution. The experimental results of the proposed methodology show that our approach is more efficient than the existing approach.


Carpooling, IoT, Graph traversal, BFS, DFS.

Full Text:



Sweta et al., “A Survey to Justify the Need for Carpooling”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-5 Issue-2, May 2015.

. GRGUREVIC et al., “APPLICATION OF THE INTERNET OF THINGSCONCEPT INCARSHARING SYSTEM”, https://www.researchgate.net/publication/283153094, October 2015.

. Sofia Liakopoulou et al., “Investigating the preferences of students towards the creation of a carpooling system serving the academic bodies of Thessaloniki city ”, Transportation Research Procedia 24 (2017) 425–432.

. Abubakr Alabbasi et al., “DeepPool: Distributed Model-free Algorithm forRide-sharing using Deep Reinforcement Learning”, arXiv:1903.03882v1 [cs.NE] 9 Mar 2019.

. Xiao Qiang et al., “Clustering Algorithm for Urban Taxi CarpoolingVehicle Based on Data Field Energy”, HindawJournal of Advanced TransportationVolume 2018, Article ID 3853012, 8 pages.

. Mrs. Chaitrali Dangare and Ms. Gouni Akila, “ An Android based application: Cab pooling”,International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 3, March 2016.

. Dr. D. Selvaraj et al., “Iot Based Traffic Congestion Monitoring And Management System”, International Research Journal of Engineering and Technology (IRJET) Volume: 05 Issue: 09 | Sep 2018.

DOI: https://doi.org/10.26483/ijarcs.v11i5.6652


  • There are currently no refbacks.

Copyright (c) 2020 International Journal of Advanced Research in Computer Science