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.
Intelligent Transportation Industries
Fleet managers, operators, departments of transportation, and other agencies are turning to IoT and AI technologies to address today's transportation challenges. Intelligent transportation systems improve the safety, traffic management, and environmental performance of roadways, railways, aviation, and maritime routes, promoting environmental sustainability and economic growth.
Smart Roads
Edge computing makes it possible for vehicles, roadways, travelers, and traffic management centers to communicate with each other in near-real time. This helps reduce congestion, improve fuel efficiency, and increase safety.
Fleet Management
Track vehicles and assets and implement predictive maintenance solutions with infrastructure and onboard solutions that provide AI and analytics.
Smart Railways
Smart railways are designed to meet shipping demands and boost ridership with better accommodations for the next generation of passengers.
Smart Airports and Ports
Airports and other smart ports are using IoT and AI technologies to handle increased traffic while helping improve safety and efficiency.
Customer Stories
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® Technologies for Intelligent Transportation
Intel® Processors
Enhanced for IoT, Intel® processors support a wide range of performance points with a common set of code. For every intelligent transportation use case, there's an Intel® processor that fits the need.
Artificial Intelligence (AI) Portfolio
Intel's comprehensive suite of hardware and software deliver broad capabilities for AI. Intelligent transportation systems can harness near-real-time information to improve safety, alleviate traffic congestion, and much more.
5G Technologies
With the move to 5G, Intel-powered networks help transportation systems become AI ready, with the compute power to handle networking, cloud, and inference workloads.
Storage Technologies
The rapidly increasing rate of data growth is creating enormous needs in data storage technologies, particularly for smart transportation. Intel research and innovation are leading the way with advanced technologies for data centers.
Networking Technologies
Networking is key to connecting sensors and devices to roadside equipment, edge servers, or the cloud. Intel enables a range of network technologies, including Ethernet, Wi-Fi, and cellular connectivity.
Developer Resources and Support
Intel® Distribution of OpenVINO™ Toolkit
Develop edge AI and computer vision applications that run across a range of hardware types. This software toolkit helps accelerate your work on Intel® platforms for intelligent transportation systems and beyond.
Intel® Edge Software Hub
Quickly find, prototype, and integrate edge computing software for intelligent transportation systems. Deployment-ready software packages are pretested and prevalidated.
Reference Implementations
Intel's reference implementations for intelligent transportation systems offer preconfigured software for a complete sample application.
Wireless Network-Ready Intelligent Traffic Management
OpenNESS
The Open Network Edge Services Software (OpenNESS) platform can simplify the addition of wireless workloads to intelligent transportation systems.
Intel® AI: In Production
Learn about our partners and solutions for AI-enabled smart cities and transportation. Find resources to develop and scale, and become an Intel partner.
A Trusted Ecosystem for Intelligent Transportation Systems
Intel works closely with partners in the IoT ecosystem to deliver integrated transportation solutions that help reduce the time, cost, and risk of deployments. That means transportation providers can capture benefits faster—and without the guesswork.
Intel® Market Ready Solutions for Transportation
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.
Intel® IoT RFP Ready Kits for Transportation
These focused technology offerings solve a class of market problems in transportation. They have been tested in the field and provide bundled hardware, software, and support.
Intel® IoT Solution Alliance for Transportation
As one of the world’s most trusted ecosystems, the Intel® IoT Solutions Alliance helps providers deliver first-in-market solutions.
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.
Explore More IoT Topics
Legal and Disclaimers
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.
產品與效能資訊
貿易（GDP 百分比），世界銀行，https://data.worldbank.org/indicator/NE.TRD.GNFS.ZS。
〈城市交通 2.0 的未來〉，Arthur D. Little 與 UITP，2014 年 1 月，adlittle.com/futuremobilitylab/assets/file/131216_Arthur_D.Little_&_UITP_Future_of_Urban_Mobility_2_0_4-pagers.pdf。
GRIDSMART 個案研究：泰國曼谷，gridsmart.com/the-gridsmart-system-case-study-in-thailand/。