![]() ![]() ![]() With precise ETA (Estimated Time of Arrival) an optimization of routes and itineraries ahead and on the specific time window starts to make sense. This data helps logistics operators and fleets make accurately predict when the driver will reach the destination. Speed profiles data are embedded in the maps and offer statistically valid average speed information for each segment of the road at different times of the day and different day of the week. In order to plan fleet operations with a goal to minimize transportation costs and optimize routes, fleet managers and operators work with so-called Speed Profiles, which use historical data. When planning logistics operations a day ahead or even a week ahead, a different set of more sophisticated data is needed. More than half of adults expect the estimated time of delivery (ETA) to be precise within three hours or less. According to the survey of 800 recipients in the UK realized by Honeywell, almost all consumers (99%) expected delivery to arrive within one week of ordering. When it comes to delivery companies, it is not only about delivering on time, but also reliable requirements are crucial if they want to gain a customer. When real-time traffic data aren’t enough Community sourced real-time data are helping us to find better ways to get through the crosstown traffic and avoid speeding tickets always on time and on the spot. ![]()
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