Artificial intelligence in transportation advantages, disadvantages & applications
Artificial intelligence is used in prediction & detection of traffic accidents and conditions (by converting traffic sensors into intelligent agents using cameras), it is used in resolving control & optimization problems, Autonomous Trucks have been initiated all over the world in recent times, Autonomous trucks will save costs, lower emissions, and improve road safety as compared to traditional trucks with human drivers.
AI in transportation
AI in transportation & infrastructure can collect traffic data to reduce congestion and improve the scheduling of public transport, Transport is affected by traffic flow, AI will allow streamlined traffic patterns, Smarter traffic light algorithms & real-time tracking can control higher and lower traffic patterns effectively, This can be applied to public transport for optimal scheduling & routing.
The transportation can use Artificial Intelligence (AI) in mission-critical tasks such as self-driving vehicles carrying passengers, AI is used to predict the paths of pedestrians and cyclists, it will decrease traffic accidents and injuries, it will allow for more diverse transportation usage and an overall reduction in emissions.
Transportation problems arise when system behavior is too difficult to model according to a predictable pattern, affected by things such as traffic, human errors, or accidents, In such cases, the unpredictability can be aided by AI, AI can use observed data to make or predict decisions appropriately, NNs & GAs are perfect AI methods to deal with these types of unpredictability.
Machine learning could soon be used to predict and prevent traffic jams, Artificial intelligence improves public safety, Safety of citizens when traveling by public transport in urban areas is improved by tracking crime data in real time, This will allow the police to increase its efficiency by patrolling & keeping the citizens safe.
AI drives the evolution of the next generation of Intelligent Transportation Systems, Artificial Intelligence & its branch Machine Learning enable transportation agencies, cities & private car owners to use the power of modern computer and communication technologies and make mobility a much safer & activity, High-end commercial CPUs, GPUs and IoT communication technologies such as LTE, 5G & LPWAN have created possibilities of several applications of Big Data and Artificial Intelligence in the Transportation sector.
Artificial intelligence can be applied to traffic management & decision-making systems to enhance and streamline traffic management and make our roads smarter, Traffic management systems can recognize the physical & environmental conditions that can lead to heavier traffic flow & congestion, They can automatically suggest alternate routes to relieve any traffic that has been formed.
Applications of AI in the transportation industry
Artificial intelligence can be used in designing an optimal transit network for a given community, developing an optimal work plan for maintaining and rehabilitating a pavement network, and developing an optimal timing plan for a group of traffic signals, Artificial intelligence can be used for identifying specific classes of drivers based on driver behavior, It is used for decision support systems for transportation planning.
Artificial intelligence is used in law enforcement capacities, This can be a challenge to human officers due to the speeds at which vehicles and passengers can come into and out of view, with artificial intelligence, this is no longer such an issue, By using advanced analytics and data processing capabilities, AI could help to detect & identify when a driver is drinking or texting behind the wheel and alert any officers within the local area to intercept them.
Artificial intelligence can manage the transmission & processing of received data as well as optimize connectivity to ensure the best connection, Artificial intelligence can be used in nonlinear prediction of the behavior of systems in which inputs & outputs, Traffic demand modeling, or in modeling the transportation infrastructure health as a function of traffic, construction and weathering.
AI can be used in signal control of traffic at road intersections, ramp metering on freeways, dynamic route guidance, positive train control on railroads, AI can be used in automatic incident detection, It is used in image processing for traffic data collection & identifying cracks in pavements or bridge structures and transportation equipment diagnosis.
Self-driving trucks can take over a lot of our dirty work such as plowing snow & collecting garbage, They could be utilized in freight, capable of transporting 2,000,000 pallets per year, Driverless Bus is a safer way to travel, Already driverless buses have been popping up across Europe, using sensors, cameras, and GPS to safely ferry passengers to their destinations.
Self-driving trucks can reduce the number of accidents on highways and increase productivity, Artificial intelligence is vital within these driverless vehicles due to their processing, control and optimization capabilities, AI will help make autonomous vehicles safer & much more widespread.
Electric vehicles become increasingly common, many countries are taking the initiative to incorporate smart technologies into their roads & highways, China has already built a smart highway that can charge electric vehicles as they drive, Many smart road designs incorporate solar panels for vehicle-charging, as well as sensors and AI feedback to monitor traffic patterns and congestion more effectively.
Autonomous Rail Rapid Transit is a train system that runs without rails, operating instead on a virtual painted track which the train’s computer system detects and follows, fully autonomous trains, using machine learning and AI in the transportation of freight and passengers have been trialled in a number of countries.
Driverless Trains can carry greater numbers of passengers, as space no longer has to be reserved for the driver’s cab, Railway Transportation is equipped with sensors including cameras that capture track, front and back, and the cab of the locomotive, The data from the sensors is fed to machine-learned analytic applications that aggregate the data, enabling onboard real-time decision-making.
Autonomous Delivery Trucks can change the way we receive goods, Many recent & upcoming cars feature sophisticated driver assist programs that can help the most inexperienced drivers on the road, This includes sensors to detect obstacles and other vehicles, as well as GPS routing, Sensors allow the driver to know if they are approaching an obstacle to stop the car entirely to avoid a crash.
AI in transportation is not limited to land, Remote-controlled ships are currently in development, The ships’ crews will be entirely land-based, meaning a reduced risk of harm to employees and more room on the vessels for freight, The primary challenge faced by developers is the risk of the software being hacked and ships diverted.
Airport Face-Scanning is the future of flying, Airports could soon be ditching traditional passports in favor of face-scanning technologies, Scanners are already being used in some airports to confirm the identities of passengers before allowing them to board, The advent of autonomous planes could yield an enormous profit, Though a great deal of piloting relies on automatic technologies, but a fully autonomous plane could potentially present some security risks.
The Trainline app allows passengers not only to book and buy their train tickets but also find a vacant seat on the vehicle in real-time, The bot asks passengers to report how busy their carriage is and uses this data to advise them on where to sit, The app presents price prediction, allowing passengers to avail of the cheapest possible fares for their journey.
Drones (unmanned air vehicles) deliver goods & passengers, AI in transportation by drones is a solution to potential human errors, In all modes of transport, including aviation which is the safest mode of transport, there is advanced work on boosting safety levels by removing the human factor errors by leveraging new technologies such as artificial intelligence, machine learning & advanced sensors.
Advantages of AI in the transportation industry
AI will reduce traffic accidents and increase safety, The number of accidents involving truck drivers at night is a large issue and can be improved with the use of smart unmanned vehicles, The personal & financial costs of these accidents are quite substantial, labor costs in this sector will continually decrease with the increased use of AI, providing higher profits for industry players.
Auto-pilot or complete unmanned vehicles can allow the driver to have a snooze without causing severe accidents, Some AI trucks have a special feature of predicting accidents as well as health issues of people around the truck like detecting a heart attack and alerting the emergency services automatically with the location and details of diagnosis.
Artificial intelligence (AI) will create significant opportunities for automakers to reduce production costs and introduce new revenue streams, including self-driving technology, predictive maintenance, and route optimization, The long driving hours and stopping for a break will no longer be a concern with fully automated fleets.
Artificial intelligence technologies increases the ability to process and predict data and outcomes than humans, so, travel and transport operators will schedule public and private transportation services in a significantly improved manner.
Artificial intelligence could play a big role in developing new and innovative ways in which to deal with pollution as well as helping to enable scientists and engineers to come up with much more environmentally friendly methods to run vehicles and machinery for travel and transportation.
Nowadays, there is an app for everything, This includes AI-powered real-time traffic updates through services such as Google Maps, Using location data collected from users smartphones, these apps can predict and analyze traffic conditions in your local area so as to better inform your travel plans, These apps may may soon face direct competition from autonomous vehicles themselves.
Disadvantages of AI in transportation
AI will impact a significant number of blue-collar jobs in the transportation industry, Automakers can use AI to adapt to a changing transportation landscape, However, costs will still be a major barrier to adoption, more than half (53%) of global business and IT leaders cited the high costs associated with AI technology as a major deterrent to adoption.
Artificial intelligence technologies will enhance the efficiency of the systems it integrates with, however, power will need to be used much more intelligently by all of the systems in order to truly utilize the potential of newer technologies.