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The screen might initially show a few minutes until arrival, only for the estimated wait time to increase. To understand the forecast, it helps to distinguish between the different stages of the order and consider the specific access conditions.
First, the service searches for a driver; then, the assigned vehicle travels to the passenger. Once the passenger boards, the trip to the destination begins. The travel time from home to the station does not automatically include the time spent searching for a car, the vehicle's approach, or luggage loading. Check exactly which time interval is displayed and, if necessary, verify the order status.
Straight-line distance differs from the actual drivable route. A car might be located on the other side of a traffic median or on the far side of a gated courtyard. Reaching the correct entrance sometimes requires a U-turn or a detour. Traffic flow and queues at turns also affect arrival times.
In explaining how Maps works, Google describes combining real-time traffic data with historical traffic patterns. Machine learning helps predict conditions ahead. This is an example of how navigation systems work generally, not a confirmation that the SHARK app uses this specific technology.
Forecasts depend on available data. A new traffic jam or road closure can alter the route and its duration. Therefore, while the estimated time is useful for planning, it does not guarantee arrival at a specific minute.
At a shopping mall, it is more helpful to specify a particular entrance rather than just the building's general address. This reduces confusion during pickup, though it does not eliminate the impact of traffic jams.
Refer to the current trip details when using Shark. Learn more about the service on the page. Shark Taxi in Kyiv.
Source explaining the technology: Google Maps 101: traffic prediction and route selection, September 3, 2020.
