An Economy in Motion Is Fueled by Transportation
Transportation is critical to the global economy. Commercial vehicles, buses, cars, planes, ships, and railways help us physically connect with each other and trade goods. Today, transportation systems are struggling to keep pace with the demands of our global, connected economy. The import and export of goods make up about three-quarters of the world gross domestic product.1 In addition, the demand for urban mobility—whether by personal or public transportation—is expected to grow 2.6 times by 2050.2
What Are Intelligent Transportation Systems (ITS)?
The Internet of Things (IoT) and artificial intelligence (AI) are enabling a new class of intelligent transportation systems (ITS) for road, air, rail, and sea. These solutions connect vehicles, traffic signals, toll booths, and other infrastructure to help ease congestion, prevent accidents, reduce emissions, and make transportation more efficient. Examples include fleet management, intelligent traffic management, V2X communication, electric vehicle charging, electronic toll collection, and a wide range of other mobility solutions.
Edge Computing Enables Near Real-Time AI and Analytics
Today, many transportation providers rely on disaggregated data platforms and independent point solutions. Intel is partnering with our partner ecosystem to support new models for intelligent, connected transportation. From the edge to the cloud, Intel helps transportation providers turn data into insights, achieving fast, efficient, and informed use of transportation systems.
At the edge, Intel® technologies enable AI and analytics in near-real time, helping support public safety or manage traffic flow. With edge computing and inference, you can benefit from fast response times, free up bandwidth, and help keep sensitive data private.
GRIDSMART Improves Traffic Management in Thailand
By tracking vehicles, bicycles, and pedestrians through intersections, the GRIDSMART system helped the city of Bangkok identify the zones where most accidents occur and optimize traffic signal timing. The solution helped improve safety and efficiency for the 8.5 million vehicles that travel daily on roads designed for two million vehicles.3
Cisco and Davra Connect Mass Transit in San Diego
The city of San Diego partnered with Intel, Cisco, and Davra Networks to bring connected intelligence to mass transit. Each bus, train, and station is equipped with sensors and communications. Data is analyzed on-site to accurately predict arrival times. Passengers can see information via digital signage on board vehicles, at stops, and at transit stations.
Genetec and Intel Deliver AI-Enabled Fleet Monitoring
To run complex AI algorithms efficiently on board buses and other fleet vehicles, Genetec turned to Intel® Core™ processors and the Intel® Distribution of OpenVINO™ toolkit. The resulting video management solution helps fleet managers control operations from a single platform and provide a positive passenger experience.
Videonetics Monitors Traffic with AI
Videonetics developed its intelligent traffic management system (ITMS) using Intel® processors that integrate CPU and GPU within a single silicon package. Its ITMS analyzes raw visual data to help track, regulate, and analyze vehicle movement. This makes it easy to enforce traffic rules for the safety of both drivers and pedestrians.
Urban Mobility and the Future of Smart Transportation
Smart city technologies and intelligent transportation systems are helping cities absorb growing populations, overcome congestion, and create sustainable futures. Learn more about how Internet of Things (IoT) devices and AI help keep people and goods moving.
How Can Data Fuel Intelligent Transportation from Edge to Cloud?
The most valuable intelligent transportation systems work both at the edge, delivering actionable insights in near-real time, and in the cloud, revealing trends over the long term.
Placing compute at the edge is especially valuable when running AI on data from multiple sensors—for example, for smart traffic lights or e-tolling stations. Solutions based on Intel® platforms deliver high performance at the edge and make it possible to consolidate applications while leaving enough headroom for new functionalities. As a result, smart cities and transportation providers can reduce infrastructure costs, simplify integration and management, scale faster, and ensure their technology investments last longer.
Sharing data selectively with the cloud supports long-term analytics. For example, city planners can optimize traffic flow and parking to help reduce greenhouse gas emissions or identify problem areas where collisions or near-misses frequently occur. Intel provides a foundation of technologies to support cloud services, whether via public, private, or hybrid cloud.
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Your costs and results may vary.
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Product and Performance Information
Trade (% of GDP), World Bank, https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS.
“Future of Urban Mobility 2.0,” Arthur D. Little & UITP, January 2014, adlittle.com/futuremobilitylab/assets/file/131216_Arthur_D.Little_&_UITP_Future_of_Urban_Mobility_2_0_4-pagers.pdf.
GRIDSMART case study: Bangkok, Thailand, gridsmart.com/the-gridsmart-system-case-study-in-thailand/.