Enabling crowdsensing-based road condition monitoring service by intermediary

Kevin Laubis (), Marcel Konstantinov (), Viliam Simko (), Alexander Gröschel () and Christof Weinhardt
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Kevin Laubis: Information Process Engineering (IPE)
Marcel Konstantinov: Information Process Engineering (IPE)
Viliam Simko: Information Process Engineering (IPE)
Alexander Gröschel: Information Process Engineering (IPE)
Christof Weinhardt: Karlsruhe Institute of Technology (KIT), Institute of Information Systems and Marketing (IISM)

Electronic Markets, 2019, vol. 29, issue 1, No 9, 125-140

Abstract: Abstract Constant monitoring of road conditions would be beneficial for road authorities as well as road users. However, this is currently not possible due to limited resources. This is because road condition monitoring is carried out by engineering companies using limited resources such as specialized vehicles and trained personnel. The ubiquity of smart devices carried by drivers, such as smartphones and the ever-increasing number of sensors installed in modern vehicles, makes it possible to provide information about the condition of the road on which the vehicle is driving. We develop a smart, crowd-based road condition monitoring service that establishes an intermediary between the crowd as data provider and the road authorities and road users as service customers. In addition to providing customers with accurate and frequent road condition information, subscribers can monetize their collected data. We prove the feasibility and usability of this smart service through analytical and descriptive evaluations.

Keywords: Crowdsensing; Internet of things; Road condition monitoring; Multi-sourcing; Service integration; Hotspot analysis (search for similar items in EconPapers)
JEL-codes: C13 C32 C8 H54 L86 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12525-018-0292-7

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