Insight into the occupation of vehicles, both current and trend-based, is essential for public transport companies. This information makes it possible to actively adjust the timetable and prevent capacity problems.
Hypercube has the tools to provide quick insight into possible bottlenecks in the timetable. We derive the actual insight into the degree of use of the public transport at any time from the timetable and the records of public transport chip card transactions.
This information can be presented in several ways. Based on these insights, it is possible to anticipate, for example by using reinforcements or vehicles with more or less capacity. Here too, the adage applies that for those who know the past, the future has fewer secrets.
Attached images are based on analyzes that we have performed at the request of carriers, but here contain fictitious data.
A heatmap can show the occupancy per stop during the day for a selected line or route from the timetable. Depending on the trends, this information can be used to deploy support or to plan another type of vehicle at specific times.
Another approach is to display the occupancy of a specific vehicle during the day, including information about which route (s) this bus traveled that day.
The second part of this tool is a visual presentation of vehicle occupancy on the map. Based on transaction data, it can be made visible which line (del) and camps with a high occupation in certain periods and where any reinforcement can be deployed
The timetable is combined with check-in and check-out transactions to show the occupancy per line section. The thicker the line is shown, the more people there are on that line section in the bus. It can clearly be seen that the line occupancy decreases the further one travels from the train station. In this way it can be seen at a glance where possible bottlenecks are.
It is also possible here to combine the occupation of lines to show the utilization of a specific route per unit time. Certain routes are often served by multiple lines. The insight per trajectory can help with issues related to network development.
The second map shows additional options, with lines colored differently to show differences in line types (Stadsdienst / Streekdienst / Qliner).
This visual representation is also ideal for performing node analyzes. A good insight into the quantity of the number of passenger movements (both in and out of transfer passengers per unit of time as passers-by) and about the quality of connections to the node is an indispensable link in that process. That insight forms a basis for administrative decision-making on a development and priority agenda.