Crowdsourced traffic event detection and source reputation assessment using smart contracts

Mihelj, Jernej (avtor), Zhang, Yuan (avtor), Kos, Andrej (avtor), Sedlar, Urban (avtor)

Real-time data about various traffic events and conditions—offences, accidents, dangerous driving, or dangerous road conditions—is crucial for safe and efficient transportation. Unlike roadside infrastructure data which are often limited in scope and quantity, crowdsensing approaches promise much broader and comprehensive coverage of traffic events. However, to ensure safe and efficient traffic operation, assessing trustworthiness of crowdsourced data is of crucial importance; this also includes detection of intentional or unintentional manipulation, deception, and spamming. In this paper, we design and demonstrate a road traffic event detection and source reputation assessment system for unreliable data sources. Special care is taken to adapt the system for operation in decentralized mode, using smart contracts on a Turing-complete blockchain platform, eliminating single authority over such systems and increasing resilience to institutional data manipulation. The proposed solution was evaluated using both a synthetic traffic event dataset and a dataset gathered from real users, using a traffic event reporting mobile application in a professional driving simulator used for driver training. The results show the proposed system can accurately detect a range of manipulative and misreporting behaviors, and quickly converges to the final trust score even in a resource-constrained environment of a blockchain platform virtual machine.

• Jezik: Angleški jezik
• Ključne besede: truth discovery, road traffic, event detection, reputation assessment, blockchain, smart contract
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2019
• Št. strani: 17 str.
• Številčenje: Vol. 19, iss. 15, art. 3267
• PID: 20.500.12556/RUL-132831
• UDK: 004:351.811
• ISSN pri članku: 1424-8220
• DOI: 10.3390/s19153267
• COBISS.SI-ID: 12587860
• Datum objave v RUL: 04.11.2021

Gradivo je del revije

• Naslov: Sensors
• Skrajšan naslov: Sensors
• Založnik: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 01.08.2019

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: odkrivanje resnice v podatkih, cestni promet, detekcija dogodkov, ocenjevanje ugleda, veriženje podatkovnih blokov, pametne pogodbe

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P2-0246
• Naslov: ICT4QoL - Informacijsko komunikacijske tehnologije za kakovostno življenje

• Financer: Drugi - Drug financer ali več financerjev
• Program financ.: National Natural Science Foundation of China
• Številka projekta: 61572231