Authors:
Maryam Jameela
;
Hammad Afzal
;
Khawar Khurshid
and
Asad Waqar Malik
Affiliation:
National University of Science and Technology, Pakistan
Keyword(s):
Crowdsourcing, Mobile Crowdsourcing, Mobile Applications, Web Application, Traffic Violations, Data Sciences, Traffic Surveillance, Internet-of-Things, Smart Cities, Transportation.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy-Aware Systems and Technologies
;
Geographic Information Systems (GIS)
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 evalu
ated 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.
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