Introduction
Artificial Intelligence (AI) in transportation and mobility industries is driving significant advancements in safety, efficiency, and sustainability. From autonomous vehicles and smart traffic management systems to predictive maintenance and personalized travel experiences, AI is at the forefront of innovation. The integration of AI technologies in transportation is expected to grow rapidly, with the global AI in transportation market projected to reach substantial heights in the coming years. According to Precedence Research, “the global artificial intelligence (AI) in transportation market size was valued at USD 3 billion in 2022 and is expected to reach around USD 23.11 billion by 2032, poised to grow at a compound annual growth rate (CAGR) of 22.70%”. The following list explores the various AI use cases in transportation and mobility, highlighting how these technologies are reshaping the future of how we move and manage transportation networks.
Use Cases
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1. Enhanced connectivity in vehicles
Cars are equipped with internet/Wi-Fi, enabling communication with infrastructure (like traffic lights) and other devices (like smartphones) both inside and outside the vehicle, enhancing connectivity and functionality.
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2. Remote diagnosis
Sensors in the car transmit data to service centers, allowing mechanics to diagnose issues remotely, which can lead to quicker and more efficient repairs.
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3. Improved security in vehicles
Car functions like locating the vehicle, turning on the heater, or locking the doors can be controlled remotely via a smartphone app, providing convenience and enhanced security for the owner.
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4. Car tracker digital number plates
Digital number plates equipped with GPS can track the car’s location and are linked to the owner’s bank account for automatic payment of tolls and parking fines. In case of an accident, they can also alert authorities, improving response times.
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5. Location-based services
AI and IoT systems monitor the car’s overall status and offer optimized location-based services. For example, if fuel levels are low, the system can suggest the nearest fuel station and even adjust the car’s route to ensure a timely refuel.
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6. Improved navigation using AR
Augmented Reality (AR) transit maps display the specific route, mark stations along the way, and indicate the correct stop based on the user’s search, making navigation easier and more intuitive.
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7. Predictive analytics for enhanced road safety
Advanced sensors, big data, and vehicle-to-vehicle connectivity leverage predictive analytics to monitor the speed and distance of surrounding vehicles. This technology helps in anticipating and avoiding potential collisions, enhancing road safety.
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8. Create driving profiles
AI systems analyze driving data to identify behavioral patterns and establish a driving profile. This profile can be used by fleet managers to improve driving habits and by insurance companies to assess risk and offer personalized premiums.
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9. Detect driver behavior
Sensors and AI systems can detect if a driver is drinking or texting while driving. If such behavior is identified, the system alerts local law enforcement officers to take appropriate action, enhancing road safety.
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10. Passenger verifications
Passenger tickets are connected to a facial recognition database, allowing for quick and secure verification of passengers’ identities, streamlining the boarding process and enhancing security.
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11. Dynamic and responsive public transportation
Public transportation systems dynamically adjust schedules and routes based on real-time passenger demand. Passengers can communicate their current location and destination through a trip planning app, ensuring efficient and timely service.
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12. Fleet management systems
AI-enabled fleet management systems monitor, coordinate, and optimize the use of vehicles in a fleet. This ensures efficient operation, reduces downtime, and improves overall fleet performance.
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13. Predictive maintenance of transportation infrastructure
Drones are deployed to monitor transportation infrastructure, conducting functionality assessments and storing extensive data. This data is used for future comparative analysis and predictive maintenance, ensuring infrastructure remains in optimal condition.
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14. Real-time equipment monitoring
Sensors and AI systems in buses and trains continuously send data about the equipment’s status and health to operators. This real-time information facilitates more efficient and proactive maintenance, reducing downtime and improving service reliability.
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15. Integrated public transportation apps
An integrated public transportation app offers comprehensive features, including journey search, mode of transport selection, schedule checking, bookings, routing, and payment. This all-in-one solution simplifies travel planning and enhances user convenience.
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16. Scheduling and routing public transport
AI and IoT sensors analyze traffic patterns to determine the best scheduling and routing for public transport. This optimization ensures efficient use of resources and minimizes delays, improving the overall passenger experience.
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17. Real-time tracking of public vehicles
IoT and AI-enabled public transit systems allow passengers to track the real-time location of vehicles and know the exact arrival times at specific stops. This transparency enhances passenger convenience and reduces waiting times.
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18. Ride-hailing services
AI-enabled ride-hailing services manage vehicle fleets and offer real-time insights into traffic conditions, such as jams and detours due to events. This information helps in optimizing routes and improving service efficiency.
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19. Optimize the distribution of public bikes
Sensors and analytics are used to optimize the distribution of public bikes, ensuring they are available where and when needed. This improves the efficiency of bike-sharing programs and enhances user satisfaction.
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20. Responsive traffic lights
Traffic lights equipped with sensors and AI respond to vehicle flows on an individual level, rather than relying on a centralized system. This intelligent routing of vehicle and pedestrian traffic reduces congestion and improves overall traffic flow.
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21. Smart parking systems
A smart parking system gathers real-time data on street parking availability and directs drivers to the closest open spots, reducing the time spent searching for parking and increasing the efficiency of space usage.
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22. EV charging stations
Streets and highways are equipped with charging stations for electric vehicles, often powered by solar energy, to facilitate convenient and sustainable recharging options for EV drivers.
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23. Analysis of urban transportation infrastructure data
AI systems analyze data to make informed decisions about urban transportation, including whether to construct new roads, how to allocate budgets for maintenance, and which infrastructure elements need attention, ensuring efficient use of resources.
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24. Intelligent roadways
Roads are designed with integrated solar panels to generate electricity, sensors to monitor traffic flow, systems to melt snow, and dynamic road markings that can change based on real-time conditions, enhancing safety and efficiency.
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25. Traffic signs equipped with sensors
Traffic signs and signal lights are equipped with sensors that gather data and communicate with vehicles, allowing cars to automatically adjust their speed to comply with speed limits and optimize their chances of hitting green lights, improving traffic flow.
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26. Real-time data insights from traffic sensors
AI systems dynamically manage traffic lights, speed limits, toll stations, and public transportation schedules using real-time data from sensors, aiming to optimize and balance overall traffic flow, reduce congestion, and improve travel times.
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27. Detection of cracks and other defects
Automated image processing technology scans pavements and bridge structures to detect cracks and other defects early, allowing for timely maintenance and preventing potential accidents or structural failures.
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28. Efficient handling of cargo and containers
Robots and AI systems manage the handling of cargo and containers with minimal human intervention, increasing efficiency, reducing errors, and speeding up the logistics process.
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29. Smart glasses for employees
Smart glasses provide employees with real-time information on item locations, quantities to pick, and placement instructions on trolleys, eliminating the need for manual scanning and streamlining the picking process in warehouses.
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30. Automation in logistics
Robots handle the picking and moving of goods in warehouses, while unmanned aircraft can land on water to deliver cargo to ports. Additionally, automated systems transport freight within non-public areas, enhancing efficiency and reducing human labor.
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31. Real-time tracking of vehicle positions
Systems provide real-time tracking of vehicle positions, ensure compliance with health regulations, and prevent theft, thereby safeguarding employees, passenger vehicles, and goods while maintaining operational transparency.
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32. Enhance warehouse efficiency
Analytics tools are used to enhance warehouse efficiency by optimizing inventory management, accurately forecasting stock levels, and streamlining workflows, leading to better resource utilization and reduced operational costs.
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33. Barcode scanning drones
Drones equipped with barcode scanners quickly scan and record the location of each pallet in the warehouse management system, significantly speeding up inventory tracking and reducing the likelihood of misplaced items compared to manual methods.
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34. Commercial drones for delivery
Commercial drones deliver lightweight packages, offering a cost-effective, convenient, and time-saving alternative to traditional delivery methods. They can navigate flexible travel paths and avoid traffic congestion, ensuring faster deliveries.
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35. Predict and monitor air pollution levels
AI systems predict and monitor air pollution levels, providing real-time data and forecasts that help in taking proactive measures to improve air quality and protect public health.
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36. AI-powered drones in firefighting
Drones equipped with AI technology are deployed to combat fires at the top of tall buildings, providing a safer and more efficient way to address blazes in hard-to-reach areas.
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37. Drones for solar panel inspections
Drones equipped with AI inspect solar panels for defects, carry out necessary repairs, and maintain solar panel fields. Similarly, they survey mines and quarries, documenting operations and site changes to ensure safety and efficiency.
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38. Monitor crowd flow during events
AI systems monitor crowd flow during high-attendance events or rush hour, providing real-time data to manage crowd movement, enhance safety, and improve the overall experience for attendees.
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39. Monitor regulated access zones
AI technology is used to monitor and secure sensitive or regulated access zones, ensuring that only authorized individuals can enter and enhancing overall security measures.
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40. Drones in accident inspection
Drones equipped with AI are deployed to inspect accident or traffic offense scenes, capturing detailed images and data to assist in investigations and improve response times.
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41. Civil structure inspections
AI and drone technology are used to inspect buildings, bridges, and other civil structures for signs of cracks, corrosion, or wear, enabling early detection and maintenance to prevent structural failures.
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42. Predictive maintenance for streetlamps and traffic lights
AI systems predict when streetlamps and traffic lights require maintenance, allowing for timely repairs and reducing the likelihood of outages or malfunctions, thereby improving public safety.
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43. Aircraft defect inspections
AI technology inspects aircraft for defects at airports, ensuring safety and compliance. Additionally, AI systems deter birds and other animals from runways, reducing the risk of wildlife-related incidents.
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44. Real-time assistance in flights
A voice-activated digital assistant offers real-time assistance and customizes the on-board experience, such as music, movies, and meals, according to passengers’ preferences, enhancing their travel experience.
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45. Monitor passengers' health
Aircraft seats equipped with sensors and AI systems monitor passengers’ health and wellbeing, enabling the crew to proactively address any issues and ensure a comfortable and safe flight experience.
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46. Personalized updates for travelers
AI systems offer comprehensive information about the airport and provide travelers with personalized updates, including gate numbers, flight status, and baggage collection details, ensuring a smooth and informed travel experience.
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47. Integrated mobility app
An AI-based integrated mobility app leverages a multimodal transportation network to provide travelers with optimized solutions for reaching their destinations, starting from the moment they disembark from the plane, ensuring seamless and efficient travel.