Watertaxi Operations System

Watertaxi Operations System, including App, Planboard and Data system

One of our partners since the founding of our company is Watertaxi Rotterdam (WTR). The taxi-service that WTR provides on the water is unique in the world, due to the request-based trip planning and the custom fleet of boats.

Flying Fish gives a live demonstration of the Dynamic Naval Monitoring system [link] on board the new electric boat from Watertaxi Rotterdam. The DyNaMo system reads out and transmits boat health and planning data for fleet management. The real-time location data is used to keep the Watertaxi network planning synchronized with the actual state of the network.

Together with WTR, we have developed a Watertaxi Operations System (WOS) that uses our DyNaMo system [link] for data processing and real-time fleet management.

As WTR is growing from 600.000 towards 1 million customers per year, digitalization and automation in planning and fleet management are a must.

The creation of WOS for WTR contained many work packages, such as:

- The development of the Watertaxi Rotterdam app for customers. We developed the front-end and back-end. The app allows ordering trips between any of the 50+ jetties in the city. The user receives real-time booking suggestions based on the network state. The app features trip request options, user accounts and mobile payment methods.

- Full stack development of hardware and software of the DyNaMo Databox. The databox collects position and motion data. This data is used in the planning software to compare the fleet state with the planned state. Furthermore, health data of the boat systems can be used to make maintenance procedures more effective.

- Design and development of interactive business reporting software trip and revenue statistics. This allows comparison of revenues between routes, periods and boats.

- Integration of new payment terminals with on-board data system, leading to a rapid increase in payment speed on-board.

- Development and implementation of an algorithm for automatic fleet planning. On busy days, thousands of people request custom trips. As the taxi-boat can serve 12 passengers maximum, trips around the city can be combined in smart ways to maximize fleet capacity and minimize fuel consumption and emissions. The algorithm allows the planners to shift focus to customer service and requests.

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