The growth of the community-based traffic and navigation apps, such as Waze and Google maps among others, has introduced a new way of collecting traffic information not only to the app users but also to the transportation agencies. The data retrieved from these community-based apps are commonly referred to as crowdsourced data.
This data source is relatively cheaper than using the conventional data collection methods, an infrastructure-based detector installed on specific locations. Moreover, the crowdsourced data can cover a large temporal and spatial network including highway with functional class besides freeways and arterial roads. Another advantage of using crowdsourced data is the fact that the data collection task does not require physical infrastructure in collecting traffic data.
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