Technology in the Public Sector: How AI is Transforming Transportation
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The transportation industry is continuously benefitting from rapidly evolving technology—integrating newer systems to improve efficiency and safety for a vast number of travelers. As more and more vehicles converge on the roads of cities around the world, transport companies are looking for ways to ensure safety amid traffic congestion as well as a positive and timely experience.
Technology plays a huge role in the public sector, especially within transportation. This industry is among many that is beginning to witness artificial intelligence (AI) capabilities when it comes to transforming operations and services. Our team at Sedna assists clients in developing AI-based solutions to improve traffic control and city management, enabling increased reliability and reduced costs. Reach out to our experts to learn more.
In this article we will delve into how AI is transforming the transportation industry and present a couple of use cases seen in U.S. cities that demonstrate the benefits of technology.
AI’s Impact on Transportation
AI has the power to enable more efficient and data-driven transportation systems, especially within cities where traffic management can be a real challenge. With AI, cities can analyze data insights and optimize resources for real-time decision making while reducing overall costs. Statistics show that systems that optimize public transit can lower expenses by about 12%.
Take a look at the different ways that AI can benefit transportation:
Advanced Predictive Analytics: AI systems can analyze data from different sources, such as weather forecasts, historical data, and event calendars to predict traffic patterns. For instance, during major sporting events, nearby roads are typically congested. With integrated AI, public transportation agencies can allocate resources and adjust their schedules.
Improved Traffic Management: Tying into AI’s data analysis and predictive analytics capabilities is an improvement in traffic management. AI traffic prediction models can reach about 90% accuracy, allowing for informed decision making when it comes to suggesting alternate routes for drivers and adjusting traffic signals for public transit. AI-powered traffic signals can shift their timing based on congestion, allowing for reduced delays and more efficient traffic flow.
Dynamic Routing Algorithms: Real-time AI traffic insights, such as for road closures or congestion, enable public transit operators to adjust routes immediately. This enhances efficiency and resource optimization, and improves rider experience.
Enhanced Electric Vehicles: AI-powered electric vehicles are able to reduce carbon emissions and enable energy optimization. This option is more eco-friendly than traditional public transportation, and potentially even safer. Through computer vision technology, these vehicles can access improved lane detection, obstacle avoidance, and pedestrian recognition, ensuring safety is a top priority for those inside and outside the vehicle.
Integrating Hybrid-Electric Vehicles in New York
The Capital District Transportation Authority in New York is developing plans this year to integrate hybrid-electric vehicles fueled by green energy that include AI-powered features. These vehicles will be implemented in 2027 with a mission centered around making a real difference in communities and making strong progress towards climate goals.
The CDTA is exploring the use of AI on a few of these new buses, navigating different ways to improve systems in sustainable ways. In these initial phases of AI exploration, the company is utilizing AI-enabled cameras to identify shelter maintenance needs in real time. This enhances efficiency and leads to an improved and safer rider experience.
Increasing Vehicle Efficiency in San Jose
The city of San Jose has implemented AI-powered features for improved efficiency in public transportation. Their AI transit signal priority (TSP) system enables much quicker routes, with a reported 20% decrease in travel time. These systems are able to respond to public transport vehicles in real time, adjusting light durations to accommodate them and shorten travel distances.
Advancements like these set an example for other cities and states looking to improve their public transport systems. Improving transportation in turn improves the experience for riders—encouraging continuous use of these vehicles as they become more reliable and reducing the amount of vehicles on the road that can contribute to congestion and increase carbon emissions.
The transportation industry can benefit greatly from AI implementations, increasing reliability and enhancing the experience for those traveling from place to place. AI-powered systems are capable of transforming the public sector overall, ensuring a continued goal of bettering services and operations for residents and visitors.
“Transportation is a prism for understanding the city and designing its future.”
– Janette Sadik-Khan, Former Commissioner, New York City Department of Transportation
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