Near future travel-time information is one of the most critical factors that travellers consider
before making trip decisions. In efforts to provide more reliable future travel-time estimations …

Wide access to large volumes of urban big data and artificial intelligence (AI)-based tools
allow performing new analyses that were previously impossible due to the lack of data or …

Short‐term traffic forecasting is becoming more important in intelligent transportation
systems. The k‐nearest neighbour (kNN) method is widely used for short‐term traffic …

Mobility data, based on global positioning system (GPS) tracking, have been widely used in
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …

Over the past couple of decades, global positioning system (GPS) technology has been
utilized to collect large-scale data from travel surveys. As the precise spatiotemporal …

Nowadays, more than half of the world's web traffic comes from mobile phones, and by 2020
approximately 70 percent of the world's population will be using smartphones. The …

Inferring travel modes of travelers in the city is important to transportation planning and
infrastructure design. Based on the distribution of travel modes, transportation engineers …

GPS trajectories generated by moving objects provide researchers with an excellent
resource for revealing patterns of human activities. Relevant research based on GPS …

In a digitalized era and with the rapid growth of computational skills and advancements,
artificial intelligence and Machine Learning uses in various applications are gaining a rising …

Traditionally, departments of transportation (DOTs) have dispatched probe vehicles with
dedicated vehicles and drivers for monitoring traffic conditions. Emerging assisted GPS …