How does AIoT Help Smart Transportation?

What is an Intelligent Transportation System?

Intelligent Transportation System (ITS) uses advanced information, electronics, sensing, communication, control, and management technologies to process and analyze the traffic data collected by people, vehicles, and roads in the transportation system into appropriate and useful information through the system platform. Through the real-time communication and connection of the communication system, improve or strengthen the interaction between people, vehicles, and roads, and improve the quality and performance of traffic services for passers-by, thereby improving the safety, efficiency, and comfort of the transportation system, while reducing the traffic environment shock.

With the rapid development of information and communication technology, the popularization of smart mobile devices, cloud technology, big data, and the Internet of Things (IoT), and other technological trends, smart transportation systems are gradually developed.

With the development of the fifth-generation mobile communication system (5G) and the high-speed transmission environment it provides, the Internet of Things (IoT) and its application of cloud computing, big data analysis, artificial intelligence (AI), and digital convergence. The development of emerging technologies such as smart transportation has created infinite possibilities for the development and application of smart transportation services. In addition, due to the evolution of emerging technologies, the application of new equipment (such as drones, optical radar, etc.) has improved and expanded transportation data. The collection of data, coupled with the application of new technologies (such as AI computing and image recognition technology, big data analysis, etc.), has also become the basis for smart traffic management and application services.

The Main Development Projects of Smart Transportation:

1. Advanced Traffic Management Services (ATMS):
   ATMs are the core of the intelligent transportation system. This system uses technologies such as detection, communication, and control to transmit the traffic conditions detected by the traffic monitoring system to the traffic control center through the network. The traffic control center receives and integrates information from different sources. After analysis, appropriate traffic control strategies and traffic management strategies are implemented according to the analysis results to maximize transportation efficiency and transportation safety.
2. Advanced Traveler Information Services (ATIS):
   ATIS uses advanced information, communication, and other related technologies to provide travelers with necessary pre-trip information, route guidance, or real-time information during travel.
3. Advanced Public Transportation Services (APTS):
   APTS applies ATMS, ATIS, and AVCSS services to the public transport system to improve the quality of public transport services, improve operational efficiency, and increase the utilization rate of public transport.
4. Commercial Vehicle Operation Services (CVOS):
   CVOS uses the services of ATMS, ATIS, and AVCSS for commercial vehicles to improve transportation efficiency and safety and reduce labor costs.
5. Electronic Payment Services (EPS):
   EPS is the application of information and communication integration technology, allowing users to use a common and convenient payment medium for payment behavior in the use of vehicles, which not only saves travel time but also does not have to carry cash with them.
6. Emergency Management Service (EMS):
   EMS is a service that guides rescue vehicles to reach the scene in the shortest time and warns other drivers when emergencies occur.
7. Advanced Vehicle Control and Safety Service (AVCSS):
   AVCSS is a combination of sensor, computer, communication, motor, and control technologies applied to vehicles and road facilities to help drivers improve driving safety and reduce traffic congestion.
8. Vulnerable Individual Protection Service (VIPS):
   VIPS is based on traffic vulnerable users, including pedestrians, children, the elderly, people with disabilities, etc., through relevant facilities and equipment or management measures, to improve their traffic safety and ensure their service needs.
9. Information Management Service (IMS):
   IMS provides data collection, archiving, management, and application services through the establishment of an ITS-related data file management system.

Advantages of Smart Transportation:

• Traffic Safety:
  Using artificial intelligence combined with the Internet of Things can assist the government in traffic management and technology law enforcement to reduce violations, car accidents, and other incidents. For example, at traffic lights, thermal imaging cameras are used to detect pedestrians on zebra crossings, and through edge computing, a warning is issued on the vehicle control panel to remind drivers to hit pedestrians. Or use AI to continuously identify objects at intersections, remind vehicles that are turning right, and pay attention to objects on the right to reduce dead-end problems and improve pedestrian safety. Airport MRT also installs sensors on rails and uses cameras on platforms to quickly warn of foreign objects falling or safety warnings for people.
• Road condition analysis:
  Traffic analysis needs to integrate the data of pedestrians, cars, and public transportation, which is complex but comprehensive. Through comprehensive data analysis such as road traffic detection information, taxi GPS information collection, intersection image monitoring information, and public transportation information. Allowing drivers to instantly know road conditions through their mobile phones and avoid congested roads. Or use mobile GPS to collect traffic information, and after data analysis, provide traffic analysis indicators such as average travel time, speed, travel purpose, and demographics, as well as transfer planning, travel advice, and traffic improvement planning. Through the 360-degree intelligent fisheye camera that can cover the intersection, the collected video data is directly processed at the edge and the traffic flow is analyzed, as a decision-making basis for flexible adjustment of intersection signs.
• Technology law enforcement:
  In terms of technology law enforcement, AI image recognition is used to reduce traffic congestion, implement illegal bans, and reduce road safety accidents. Improve the accuracy of law enforcement with smart bans.

Future Development Trend: AIoT Assists Smart Transportation

Develop smart transportation data technology and services, and at the same time introduce cross-vehicle integration to meet the trend of vehicle sharing. Combining AI with transportation applications to create an experimental field for innovative transportation technology. In addition, it is expected to use smart transportation to solve the urban-rural gap and take care of the disadvantaged in remote rural areas.

Traffic management from a government perspective, commuter-centric multimodal transportation, and car-centric smart vehicles. There are still safety, cost, and technical challenges to be overcome in the application of smart transportation. Smart transportation also requires the accumulation of various data, the integration of many software and hardware, and the assistance of artificial intelligence technology. It is expected that AIoT will continue to improve traffic safety and convenience.