The Future of AI in the Transportation Industry

Linda James, Logistics Tech Outlook | Saturday, March 12, 2022

Artificial Intelligence and Machine learning will help the

FREMONT, CA: Transportation, the sector that deals with the movement of commodities and passengers from one place to another, has gone through several types of research, trials, and refinements to reach where it is now. Technological innovations have helped the transportation sector progress in its journey of advancement and evolution. One new-age technology that has contributed to the industry is AI. Using AI in transportation helps the sector increase passenger safety, reduce traffic congestion and accidents, reduce carbon emissions, and reduce overall financial expenses. Here are some of the best applications of AI in the transportation industry.

• Route Optimization

Drivers can solve a well-known Vehicle Routing Problem (VRP) by applying ML-powered route optimization software. This will generate an optimal route to depots for customers while minimizing the road costs and number of vehicles. Here the user selects the place of departure, the specific point of destination, and even a specific time of day. Then, AI algorithms analyze multiple factors like traffic patterns, weather conditions, and traffic reports and generate the best possible routes. The algorithm can also rely on historical traffic data to forecast the best day of the week and even when the driver should go out on the road. 

• Shipping Volume Prediction

Another significant use of AI and predictive analytics in transportation is turning data from the transportation management system into a data-driven tool for forecasting the number of sales and shipping volumes. In most instances, such a forecast consists of historical data and external factors, including seasonality, weather, and even public holidays. Depending on the business' requirements and planning processes, users can receive forecasting for just one day or several weeks and streamline the operational process with a data-based plan in advance. 

• Predictive Fleet Protection

Another use of AI in logistics is predictive maintenance software for full truck analysis of potential failures and scheduled maintenances. Such a remedy will increase your fleet's lifespan and reduce operating costs. For more effective predictions, the software uses IoT devices such as on-vehicle sensors that connect. 


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