20.500.12556/RUL-137202 Citizen science for traffic monitoring investigating the potentials for complementing traffic counters with crowdsourced data Traffic counts are among the most frequently employed data to assess the traffic patterns and key performance indicators of next generation sustainable cities. Automatised counting is often based on conventional traffic monitoring systems such as inductive loop counters (ILCs). These are costly to install, maintain, and support. In this paper, we investigate the possibilities to complement and potentially replace the existing traffic monitoring infrastructure with crowdsourcing solutions. More precisely, we investigate the capabilities to predict the ILC-obtained data using Telraam counters, low-cost camera counters voluntarily employed by citizens and freely accessible by the general public. In this context, we apply different exploratory data analysis approaches and demonstrate a regression procedure with a selected set of regression models. The presented analysis is demonstrated on different urban and highway road segments in Slovenia. Our results show that the data obtained from low-cost and easily accessible counters can be used to replace the existing traffic monitoring infrastructure in different scenarios. These results confirm the prospective to directly apply the citizen engagement in the process of planning and maintaining sustainable future cities. traffic monitoring regression citizen science inductive loop counters Telraam counters kernel ridge regression spremljanje prometa regresija znanost množic prometni števci z induktivno zanko Telraam števci true false true Angleški jezik Slovenski jezik Članek v reviji 2022-06-06 09:07:52 2022-06-06 09:07:53 2022-09-15 04:14:46 0000-00-00 00:00:00 2022 0 0 18 str. iss. 2, art. 622 Vol. 14 Jan. 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004:656.1 2071-1050 10.3390/su14020622 92616963 sustainability-14-00622-v2.pdf sustainability-14-00622-v2.pdf 1 3CACBEE58568C4C8237AA04660C5E539 5f6c67e784dae51b60f05874c20a70ceae6787b6f8349cb3fbd3892a8d03be2b 80c63675-e567-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=157069 https://www.mdpi.com/2071-1050/14/2/622 1 3aa5858b-e567-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=157068 Fakulteta za računalništvo in informatiko Fakulteta za arhitekturo 0 0 0