Izvorni znanstveni članak
https://doi.org/10.7307/ptt.v37i4.978
Analysing Headway Spacing and Calculating Passenger Car Equivalent Values Using Computer Vision and International Dataset
Burak ÇELİK
orcid.org/0000-0003-1562-6615
; Faculty of Engineering, Atatürk University, Erzurum, Turkey
Ahmet TORTUM
; Faculty of Engineering, Atatürk University, Erzurum, Turkey
*
Emre ÇİNTAŞ
orcid.org/0000-0002-4954-5816
; Faculty of Engineering and Architecture, Erzurum Technical University, Erzurum; Faculty of Engineering, Atatürk University, Erzurum, Turkey
Barış ÖZYER
; Faculty of Engineering, Atatürk University, Erzurum, Turkey
* Dopisni autor.
Sažetak
Accurate traffic flow data are crucial for effective transportation planning and management. Different vehicle types impact traffic flow variably, requiring distinct passenger car equivalency (PCE) factors for calculating intersection and road capacity. Headway and spacing data are essential to assess traffic density and service level. Conventional data collection methods are time-consuming and often inaccurate. Unlike existing studies, this study employed computer vision to measure mixed traffic stream volume in terms of passenger car equivalent and collect headway-spacing data with high accuracy. The vehicle detection and counting procedures provide the mandatory infrastructure for measuring mixed traffic stream volume and collecting headway and spacing data. Novel approaches were introduced to gather comprehensive traffic data, including passenger car equivalent values, headway, spacing, flow rate, vehicle speed and traffic volume, using a single system. A custom and comprehensive international dataset was collected to analyse these approaches. Our trained model achieved a mean average precision (mAP) of 97.4%, with accuracies of 95% for headway, 93% for spacing and 99% for PCE values. The dataset can be downloaded at https://github.com/burak-celik/atavehicledataset.
Ključne riječi
intelligent transportation systems; traffic flow data; computer vision; headway-spacing data; passenger car equivalency
Hrčak ID:
333690
URI
Datum izdavanja:
14.7.2025.
Posjeta: 981 *