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Authors: Maryam Jameela ; Hammad Afzal ; Khawar Khurshid and Asad Waqar Malik

Affiliation: National University of Science and Technology, Pakistan

ISBN: 978-989-758-293-6

Keyword(s): Crowdsourcing, Mobile Crowdsourcing, Mobile Applications, Web Application, Traffic Violations, Data Sciences, Traffic Surveillance, Internet-of-Things, Smart Cities, Transportation.

Abstract: With increasing demand of transportation, implementation of the traffic regulations has become a major challenge for the developing countries. Most of the traffic accidents occur due to violation of traffic rules, thus, resulting in loss of human lives and property. The developed countries have addressed the situation by deploying surveillance systems at intersection, but the solution can be expensive; therefore, due to the cost factor the solution is out of reach for many underdeveloped countries. In order to overcome the situation, a framework is proposed that is based on crowdsourced model to report violations supplemented by the video evidence. The user reports are evaluated in multiple phases. In the first stage, spam is eliminated through evaluation, and associated user profiles are blocked. In the second stage, traffic law experts evaluate the report and on every valid report the users are rewarded with incentive points while ensuring the anonymity. The system is evalua ted for usability, advantages to authorities, citizen involvement, skills and resources required and transparency. The results of functional testing indicate that the participants appreciated the purpose of the application and found it quite easy to use. With a large-scale deployment and an effective mechanism to identify offender, this system can lead to much improved implementation of traffic regulations. (More)

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Paper citation in several formats:
Jameela, M.; Afzal, H.; Khurshid, K. and Waqar Malik, A. (2018). Crowdsourced System to Report Traffic Violations - RoadCop: Bi-Modular System.In Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-293-6, pages 315-322. DOI: 10.5220/0006680303150322

@conference{vehits18,
author={Maryam Jameela. and Hammad Afzal. and Khawar Khurshid. and Asad Waqar Malik.},
title={Crowdsourced System to Report Traffic Violations - RoadCop: Bi-Modular System},
booktitle={Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2018},
pages={315-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006680303150322},
isbn={978-989-758-293-6},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Crowdsourced System to Report Traffic Violations - RoadCop: Bi-Modular System
SN - 978-989-758-293-6
AU - Jameela, M.
AU - Afzal, H.
AU - Khurshid, K.
AU - Waqar Malik, A.
PY - 2018
SP - 315
EP - 322
DO - 10.5220/0006680303150322

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