Urban Zone Discovery from Smart Card-Based Transit Logs

Mining Smart Card Data from an Urban Transit Network

In large urban areas, smooth running public transit networks are key to viable development. Currently, economic and environmental issues are fueling the need for these networks to adequately serve travel demand, thereby increasing their competitiveness and their market share. Better balance between transit supply and demand will also help reduce and control operating costs. The fact is, however...

Measuring transit use variability with smart-card data

The potential of smart-card data for measuring the variability of urban public transit network use is the focus of this paper. Data collected during 277 consecutive days of travel on a Canadian transit network are processed for this purpose. The organization of data using an object-oriented approach is discussed. Then, measures of spatial and temporal variability of transit use for various type...

Flow Orientation Analysis for Major Activity Regions Based on Smart Card Transit Data

Analyzing public movement in transportation networks in a city is significant in understanding the life of citizen and making improved city plans for the future. This study focuses on investigating the flow orientation of major activity regions based on smart card transit data. The flow orientation based on the real movements such as transit data can provide the easiest way of understanding pub...

Smart Maps Based on Gps Path Logs

Geographic information from the global positioning system (GPS) logs of taxi cabs are useful in the novel applications like Smart Maps needed for a city traffic. The historical path logs of the GPS trajectories are mined to provide the landmark graph. Based on the landmark graph and the routing algorithm that uses the variance-entropy based clustering techniques to build and evaluate the system...

Utility-Based Control Flow Discovery from Business Process Event Logs