TY  - JOUR
PY  - 2022//
TI  - Traffic violation analysis using time series, clustering and panel zero-truncated one-inflated mixed model
JO  - International journal of injury control and safety promotion
A1  - Rezaei Ghahroodi, Zahra
A1  - Eftekhari Mahabadi, Samaneh
A1  - Bourbour, Sara
A1  - Safarkhanloo, Helia
A1  - Zeynali, Shokoufa
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - Traffic rules violations in urban areas, which can cause traffic crashes and unsafe situations, are a major issue nowadays. The present paper aims to analyze the frequency of traffic violations in Tehran city, Iran, over a five-year period (March 2016- March 2021). The data is obtained via road traffic violation monitoring system which can capture and process various traffic violations. This database, containing about 97 million violations committed by about 16 million drivers, is explored applying three statistical approaches. In the first approach, some multiplicative SARIMA and Bayesian Spatio-temporal models are fitted to the monthly violations. Also, in the second approach, the K-means clustering algorithm is applied to discover homogeneous districts of Tehran Municipality regarding their number of violations and their number of violations per camera towers meter during the study. Finally, in the third approach, a random-effect zero-truncated one-inflated Poisson model is proposed to study factors affecting driver's number of violations over time.<p />  <p>Language: en</p>
LA  - en
SN  - 1745-7300
UR  - http://dx.doi.org/10.1080/17457300.2022.2075396
ID  - ref1
ER  -