Crowdsourced traffic event detection and source reputation assessment using smart contracts

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

Abstract

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.

Keywords

odkrivanje resnice v podatkih;cestni promet;detekcija dogodkov;ocenjevanje ugleda;veriženje podatkovnih blokov;pametne pogodbe;truth discovery;road traffic;event detection;reputation assessment;blockchain;smart contract;

Data

Language:	English
Year of publishing:	2019
Typology:	1.01 - Original Scientific Article
Organization:	UL FE - Faculty of Electrical Engineering
UDC:	004:351.811
COBISS:	12587860
ISSN:	1424-8220
Views:	183
Downloads:	66
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	odkrivanje resnice v podatkih;cestni promet;detekcija dogodkov;ocenjevanje ugleda;veriženje podatkovnih blokov;pametne pogodbe;
Type (COBISS):	Article
Pages:	str. 1-17
Volume:	ǂiss. ǂ15
Issue:	3267
Chronology:	Aug.-1 2019
DOI:	10.3390/s19153267
ID:	13815876