On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications

Emmanouil Mastorakis, Athanasios Salamanis, Dionysios Kehagias, Dimitrios Tzovaras

Abstract

Carpooling is a mobility concept that appears to be the answer when it comes to challenges in urban mobility derived by population growth. In carpooling, the same amount of people move with fewer vehicles leading to reduced traffic congestion and consequently to less CO2 emissions, fuel consumption and drivers frustration. However, there has always been scepticism around carpooling due to the inherent mistrust between drivers and passengers. In recent years, some reputation systems have been proposed to reduce the impact of mistrust on carpooling applications. Among them, the work of Salamanis et al. (Salamanis, 2018), in which a reputation assessment mechanism based on clustering users travel preferences, was introduced. In this paper, we provide an extended version of the previous mechanism and we thoroughly evaluate its robustness in relation with different types of malicious attacks and clustering algorithms. In addition, we compare our mechanism with a benchmarking reputation system that utilizes the simple arithmetic mean to calculate reputation values based on users ratings. The evaluation results indicate that the extended reputation assessment mechanism exhibits more robust behavior compared to the benchmarking system in all types of attacks when using the hierarchical clustering algorithm.

Download


Paper Citation


in Harvard Style

Mastorakis E., Salamanis A., Kehagias D. and Tzovaras D. (2019). On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications.In Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-374-2, pages 232-241. DOI: 10.5220/0007796602320241


in Bibtex Style

@conference{vehits19,
author={Emmanouil Mastorakis and Athanasios Salamanis and Dionysios Kehagias and Dimitrios Tzovaras},
title={On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications},
booktitle={Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2019},
pages={232-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007796602320241},
isbn={978-989-758-374-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - On the Evaluation of a Cluster-based Reputation Assessment Mechanism for Carpooling Applications
SN - 978-989-758-374-2
AU - Mastorakis E.
AU - Salamanis A.
AU - Kehagias D.
AU - Tzovaras D.
PY - 2019
SP - 232
EP - 241
DO - 10.5220/0007796602320241