According to media reports, on the evening of March 31st, a brand of autonomous vehicle from Wuhan, Hubei suddenly stopped on the road, causing congestion and traffic accidents. On April 1st, the official customer service of the brand told reporters that "services are temporarily suspended throughout Wuhan." Regarding the situation of the vehicle coming to a sudden stop the night before, they expressed "sincere apologies and will continue to optimize it in the future." Wuhan traffic police reported that the initial judgment was a system malfunction, with no casualties, and the cause of the accident is under further investigation. The impact caused by this problem is not small. It can be imagined that during driving, if the preceding car suddenly stops, many vehicles may avoid it. In fact, this is indeed the case. Some netizens posted pictures of the scene, stating that they collided with an unmanned vehicle that suddenly came to a stop due to not being able to avoid it, resulting in damage to the front of the vehicle. This incident is also frightening, for example, some netizens said, 'If this were on the highway, the consequences would be unimaginable.'. As a result, many people have developed a fear of technology and have doubts about the prospects of autonomous driving technology. This is indeed a paradox. A technology that is not yet fully mature on the road does indeed carry risks and can easily face ethical questioning: is a product that is still being tested on the road? But from another perspective, many technical tests must rely on real environments. Especially for autonomous driving technology, it requires collecting data, identifying obstacles, adapting to road environments, and even driving habits with local characteristics in real scenarios. It can be said that without such real road tests, autonomous driving technology would ultimately be difficult to mature. This leads to a cycle: immaturity, so there are risks on the road; Not on the road, and never mature. A reference case is that recently there were reports from foreign media that Tesla CEO Elon Musk had repeatedly claimed that "Tesla is only a few months away from launching Robotaxi, a self driving robot taxi service, in California, USA; But it was later revealed that the company's autonomous driving test mileage on California roads in 2025 had been zero for the sixth consecutive year. Tesla has thus fallen into a huge controversy, with people questioning its technology. It can be seen that without actual road tests, it is difficult for public opinion to believe in the reliability of autonomous driving. So, stepping out of the controversy over specific brands, people may need to see a reality: if we expect technological progress, then some kind of "cost" is inevitable. The key is how to balance the two, neither completely sealing off technology nor infinitely overflowing risks under the guise of "trial and error". What really needs to be established is a clearer set of rules and boundaries - which scenarios can be open for testing, who is responsible for any problems, and how to minimize damage when the system fails. It is worth noting that in July 2025, the international standard Evaluation of Test Scenarios and Test Case Generation of Road Vehicle auto drive system led by China was officially released. The standard released this time mainly stipulates the evaluation process and test methods of auto drive system test scenarios, and defines the general methods and necessary characteristics of test case generation. From this, it can be seen that relevant technical specifications and institutional construction are gradually following up, paving a more controllable path for the development of autonomous driving. The sudden stop of autonomous vehicles on the road is a serious reminder for regulatory authorities and platforms. For regulation, it is necessary to further design pre rules and conduct risk assessments, clarify testing admission conditions, operational boundaries, and exit mechanisms, establish a more efficient information reporting and accident investigation system, so that every issue can be promptly reviewed and transformed into a basis for technological improvement. For platforms and enterprises, they need to have a greater respect for technological boundaries, while pursuing scale and commercial implementation, strengthening system redundancy and extreme scenario response capabilities, improving manual takeover and remote intervention mechanisms, and avoiding directly transferring uncertainty to public roads. Technology has a pure accumulation of data, but society has variables that fluctuate in people's hearts. So, technology cannot "run wild" on its own. How to balance efficiency and safety, and how to cater to the public's feelings and trust, are also essential questions for relevant enterprises. Vehicles may be 'unmanned', but the implementation of technology must have 'someone' in mind. (New Society)