GLOBAL AUTOMOTIVE PREDICTIVE ROAD CONDITION SYSTEM MARKET

INTRODUCTION

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.

GLOBAL AUTOMOTIVE PREDICTIVE ROAD CONDITION SYSTEM MARKET SIZE AND FORECAST

The Global Automotive Predictive road condition system market accountedfor $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.

RECENT DEVELOPMENT

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.

COMPANY PROFILE

• ELEKTRON
• Vakilsearch's
• Audi
• BMW
• Ford

THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

1. How many Automotive Predictive road condition system are manufactured per annum globally? Who are the sub-component suppliers in different regions?
2. Cost breakup of a Global Automotive Predictive road condition system and key vendor selection criteria
3. Where is the Automotive Predictive road condition system manufactured? What is the average margin per unit?
4. Market share of Global Automotive Predictive road condition system market manufacturers and their upcoming products
5. Cost advantage for OEMs who manufacture Global Automotive Predictive road condition system in-house
6. 5 key predictions for next 5 years in Global Automotive Predictive road condition system market
7. Average B-2-B Automotive Predictive road condition system market price in all segments
8. Latest trends in Automotive Predictive road condition system market, by every market segment
9. The market size (both volume and value) of the Automotive Predictive road condition system market in 2023-2030 and every year in between?
10.  Production breakup of Automotive Predictive road condition system market, by suppliers and their OEM relationship