As a manufacturing plant manager begins her morning commute, the local segment of the intelligent transportation system (ITS) streams the latest traffic data to her in-car system. The data is synched with the manager’s calendar app, which contains that morning’s production schedule, and the system plots an optimal route to the plant.
Meanwhile, sensor-embedded roadways on the route continuously gather data from passing vehicles. Through real-time analysis of this data, combined with weather data and information from vehicles entering freeway acceleration lanes, the system senses increased traffic density and alerts controllers to a predicted slowdown. The system broadcasts alternate routes to commercial fleet vehicles, including those heading toward the plant manager’s facility, opens an additional express lane, and reduces the speed limits flashing on dynamic signs along the routes.
The manager’s car receives this data, confirms that travel time on the original route remains within acceptable parameters, and reserves a parking space in the plant’s garage, based on estimated arrival time. Throughout the drive, the car and other connected vehicles on the road communicate with each other and the ITS, maintaining safe speeds and distances. Through real-time updates from a logistics app that is in synch with the ITS, the plant manager learns that two shipments needed to start a production line are now projected to arrive ahead of schedule. She arrives at her destination with time to spare, informed, relaxed and ready to start her day.