Perceiving detailed traffic information is the base of the intelligent transportation technology system. The transport sector has plenty of videos and images that can be utilized, thus creating good application conditions. Presently, AI has reached a relatively stable level in quite straightforward situations that involve license plate recognition, vehicular appearance feature identification, and traffic flow statistics. Nevertheless, if we look at the perception of incidents in detail, there are still significant issues:
When looking at different application scenarios, the system still depends heavily on model customization, thus it is not able generalize sufficiently. To illustrate, it is hard to detect small-sample incidents such as smoke, fire, and the scattering of an object.
Improving the detection performance of algorithms in challenging scenarios is a tough task. For example, in low-light and low-quality scenarios such as dense fog, thick haze, or heavy rain—where accurate perception is most needed—the detection performance is quite bad.
Moreover, the technology is fundamentally data-dependent and consequently requires a large number of annotated and training instances.
To some extent, the implementation of large-scale model technology can alleviate the traffic perception bottlenecks issues. The large models are more versatile, accurate, and efficient. Knowledge distillation allows small models to acquire the pre-trained knowledge of large models and thus, a small model can be fine-tuned and then directly used for the task. Thus, small models can have better generalization ability for unknown data and new tasks. Simultaneously, it greatly decreases small models' reliance on data. Thanks to the implementation of such features as knowledge transfer and self-supervised learning, the algorithms can be sped up and made ready for use, thereby reaching the precise detection of all elements in various scenarios.
By employing AI technology, intelligent transport can realize a universal perception of people, vehicles, roads, and the environment in an all-domain, full-volume, full-time, and all-element manner. The urban traffic brain understands the "baseline" of road network travel along with its characteristic rules, thus creating a novel "digitalized, networked, visualized, and intelligent" road traffic management model and laying down "foundation" for urban traffic management.
Leveraging the "one file per road/lot, one file per vehicle, and one file per person" concept, an individualized management and control decision-making empowerment platform is devised for the innovation of business empowerment applications in the transportation sector and its allied industries. This assists in increasing road traffic efficiency, the efficacy of off-site law enforcement, accident reduction, and eradication of potential threats.
Through data sharing and business empowerment, it encourages cross-departmental collaborative innovation applications in the "comprehensive transportation" sector, thus enabling the highly collaborative development of traffic participants, and the realization of real-time accurate traffic guidance, dynamic, and intelligent road right allocation, as well as long-term effective safety management. Moreover, it is driving the optimization and upgrading of the traditional transportation enterprises, at the same time, it is assuring the sound growth of the emerging industries like intelligent connectivity and autonomous driving and giving the travel information services the power to move ahead.
The primary platforms for its core capabilities are mainly a computable digital road network platform, a traffic cognitive analysis platform, and, a traffic simulation decision-making platform. The theme of intelligent transportation is used to create application scenarios such as urban environment perception, smart services, public security prevention and control, road traffic management, municipal facility operation and maintenance, and smart travel experience.
Smart light poles' perceived information is a vital urbane operation constituent and highly instrumental in the building of smart cities. Keeping in line with smart city progression, smart light poles will operate as anchor points and be developed into the "nerve endings" of the smart city brain thus, facilitating the entire smart city ecosystem flow.
Just imagine, while you are walking on the street a voice coming from the street says: "Electric bike riders, please put on your helmets!" You check out the surroundings but cannot spot the source of the voice—do not panic. You can take a look at the nearby light poles as this kind of reminding is most probably from "it"—the smart light pole.
Equipped with AI, smart light poles are capable of automatically figuring out whether electric bike riders are wearing helmets and then, by the integrated audio system, issuing voice broadcasts. By the integration of multiple systems such as mobile communication, lighting, meteorological, and environmental monitoring, information release, energy sharing and distribution, and security prevention, smart light poles have become more than just a single lighting facility—they have been converted into a "multi-pole-in-one" super pole.
They can facilitate various innovative services such as smart lighting, 5G communication, public security, environmental monitoring, intelligent transportation, and smart energy. Smart light poles have been successful in achieving the transition from the sole lighting function of traditional street lamps to multiple functions through hardware integration, pole sharing, and the addition of software to various perception devices.
FAQ – Frequently Asked Questions
1. Where and when will CITSE be held?
From May 13 through 15, 2026, the event is to take place. The Four XICEC International Conference and Exhibition Center (XICEC) in Xiamen, China is the location.
2. Describe the scale of CITSE.
CITSE is an event of 40,000 m² in area with a total number of visitors of 350+ companies-featured and 30,000+ professional visitors from all over the world.
3. What are the activities included?
These 80-plus professional forums and events are about the topics to be discussed in intelligent transportation.
4. How many countries and regions are represented?
The delegates from more than 80 countries and regions will be at CITSE.
5. Are there chances of cooperation?
CITSE, with more than 1,000 worldwide partners, is a place where one can unveil a profusion of possibilities for business collaboration, technology exchange, and investment.
6. Who can I contact for more details?
If you want to know more, please send us a message by using the Contact Us section on our webpage.
