google-site-verification=5mXTZs0RdDCeTpcCGBeUc2HF9uNdM1rSAr9sRldwfdY Is Transportation Predictive Analytics And Simulation The Future of Transportation? ~ CMI Blog Absolutes

Is Transportation Predictive Analytics And Simulation The Future of Transportation?

 


Predictive analytics is the use of data, statistical algorithms, and machine learning techniques to identify the possibility of future results based on historical data. The goal is to know what has happened to provide the best assessment of what will happen in the future. It is widely used in the transportation industry, it provides valuable insights from data collected from multiple sources. Transportation predictive analytics and simulation is a type of software that uses extracted data to determine trends and patterns to improve the efficiency of transport operations.

In the recent past, the demand for transportation predictions has been on the rise due to several reasons. The need to understand the traffic flow is becoming imperative for planning for future business expansion and the need to determine the impact of the economic and social factors on travel needs and expenditures. These are some of the important factors that contribute to the growth of the market. The number of vehicles worldwide has been increased significantly in the recent past. Increase in road traffic congestion across the world is expected to drive the transportation predictive analytics and simulation market growth. According to the Department for Transport (GOV.UK), the U.K. traffic expected to rise by 50% by 2050.

Transportation predictive analytics and simulation software collects data from sensors mounted in vehicles and processes it to yield meaningful insights, which help manage traffic flow and reduce road congestions. Moreover, with an increasing focus on the Internet of Things (IoT), there has been a substantial increase in connected vehicles worldwide. Thus, increasing demand for connected vehicles is expected to propel the market growth. For instance, the European Commission plans to roll-out highly automated and connected vehicles by 2030 under the ‘GEAR 2030’ initiative.

Moreover, lack of skilled operators is expected to hamper the market growth. The software is complex and requires highly skilled operators. In terms of geography, the transportation predictive analytics and simulation market is divided into six regions, such as North America, Europe, Asia Pacific, South America, the Middle East, and Africa. Key players operating in the market are focused on participating exhibitions and conferences to enhance their market presence. For instance, in 2019, Cubic Corp. showcased a range of innovative and scalable Trafficware and GRIDSMART capabilities at the Intelligent Transportation Society of America 2019 (ITS America). Moreover, the company invested in the future of transportation and mobility.

 

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