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.
Intel’s reference implementations for intelligent transportation systems offer preconfigured software for a complete sample application.
Learn about our partners and solutions for AI-enabled smart cities and transportation. Find resources to develop and scale, and become an Intel partner.
The Intel® IoT Market Ready Solutions program is designed to help our partners strengthen their delivery of transportation solutions. Customers get scalable, repeatable, end-to-end solutions specially designed for mobility, advanced traffic management, and more.
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.
Intelligent Transportation for the Smart City
Smart cities are leveraging IoT technologies and 5G to enhance the quality of their services, improve public safety, reduce congestion, build resilience, and achieve new levels of efficiency. Intel® technologies help make sense of the massive amounts of data being generated by transit systems, parking and lighting infrastructures, video feeds, and more.
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Intel® technologies may require enabled hardware, software, or service activation.
No product or component can be absolutely secure.
Your costs and results may vary.
Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.
Thông tin Sản phẩm và Hiệu năng
Trade (% of GDP), Ngân hàng Thế giới, https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS.
“Future of Urban Mobility 2.0”, Arthur D. Little & UITP, tháng 1 năm 2014, adlittle.com/futuremobilitylab/assets/file/131216_Arthur_D.Little_&_UITP_Future_of_Urban_Mobility_2_0_4-pagers.pdf.
Nghiên cứu tình huống GRIDSMART: Bangkok, Thái Lan, gridsmart.com/the-gridsmart-system-case-study-in-thailand/.