Measuring the utilization of a vehicle fleet is difficult, but essential for timetable planning. Buses, trains, streetcars and subways often do not have a standardized IT infrastructure, making the integration of sensors costly. However, many vehicles are equipped with safety cameras.
In the following articles, we describe how passenger counting and higher-level vehicle utilization can be calculated using video analytics:
- Automatic passenger counting in trains, subways and streetcars
- Automatic passenger counting in buses
- Passenger counting methods
This article describes how passenger statistics from individual cameras can be aggregated to draw general conclusions and provide real-time insights. The image below shows the network map of a major city. The complexity of the network map increases even further if the different bus routes were included.
Grouping: Camera - Vehicle - Line - Network
Grouping sensors to obtain insights at vehicle level is done with a few clicks via the Isarsoft tagging system. Vehicles can in turn be grouped into lines in a second step. The image below shows this relationship.
Link passenger statistics with vehicle locations
While count data alone is already a powerful tool for network analysis and optimization, it becomes even more valuable when combined with vehicle location data.
Location data can come from either GPS signals or vehicle station data.
The Isarsoft Dashboard enables intuitive analysis of Big Data. Thanks to the tagging system and a user-friendly query tool, planners, mobility managers and executives can identify trends, make spatial comparisons and identify potential for optimization.
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