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The predictive road condition services optimise safety, availability and comfort of automated driving by providing predictive information on road. For autonomous vehicle motion control issues, the state of the road is crucial.
The road state is typically represented with system dynamics in the existing studies of model predictive control (MPC), sometimes simplified as common disruptions, or simply omitted based on specific assumptions. The cost function is typically created as a fixed function for the majority of these MPC formulations and has no connection to the dynamic nature of the road conditions.
In this research, a new model predictive control technique based on an adaptive cost function mechanism is suggested in order to fully address the uncertain road circumstances and enhance overall control performance. A set of priority policies that take into account the various costs are used to construct the relationship between the cost function and road conditions.
The Global Automotive Predictive road condition system market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
For automated cars, Bosch is announcing predictive road-condition services. To better forecast road conditions, Bosch will work in conjunction with the Finnish weather forecasting company Foreca. Foreca’s road-weather specialists will be used. One of the top sources of weather data on the planet is Foreca.
A new age of road-condition forecasting will emerge from the knowledge of Foreca and Bosch combined. The Bosch road-condition services, in contrast to media weather forecasts, consider a variety of forecast scenarios.
The Bosch predictive services package is anticipated to be implemented globally. Weather data will be used as a starting point, and when more vehicles link to one another on the road, vehicle data will be added.
The task of driving is determined by autonomous features using the type of road, the speed range, and the surrounding environment. Bosch intends to expand the mix with predictive road-condition services in the future. Cars will adjust their speed to a lower level in front of any potential hydroplaning incidents, using rainy weather as an example.
Bosch will be able to expand its predictive road-condition services beyond meteorological data with vehicle data, assuming autonomous vehicles become the norm. The data will be delivered to the Bosch cloud via the servers of each individual automaker and will include information that is kept on the computer system of the vehicle.
