Naslov
Measure for Traffic Anomaly Detection on the Urban Roads Using Speed Transition Matrices

Autori
Tišljarić, Leo ; Majstorović, Željko ; Erdelić, Tomislav ; Carić, Tonči

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MIPRO 2020 43rd International Convention Proceedings / Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020, 268-275

Skup
43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)

Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
anomaly detection ; speed transition matrix ; quantifying anomaly ; intelligent transport systems ; traffic state estimation ; urban road network

Sažetak
Road traffic anomaly detection is an essential research topic within the Intelligent Transport System (ITS) context. Urban road anomaly detection systems are a crucial part of the ITS regarding the trip planning, road security, and congestion estimation applications. In this paper, the method for traffic anomaly detection using Speed Transition Matrices (STM) is presented. The paper's main goal is to present the novel method for measuring the distance between two STM, as standard distance measures are inapplicable for the anomaly detection and road traffic analysis interpretation The method is based on the Euclidean distance measure between STM’s Center of Mass (COM), and the average STM that represents normal traffic conditions. The Global Navigation Satellite System (GNSS) data on the road-network of the City of Zagreb were used as a case study, as it is, the capital and the largest city in Croatia, suitable for the application of the proposed methodology. The anomaly detection method resulted in 73 anomalous points which are presented on the digital map. The proposed method is compared to the other distance metrics used in the literature, and advantages over each of the metrics are highlighted.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti

POVEZANOST RADA