Under the trend of continuous expansion of urban areas and increasing number of vehicles, the traditional transportation system has been unable to cope with various complex situations, and the problem of insufficient information exchange has emerged. This study is based on the cooperative vehicle-infrastructure system (CVIS) of the Internet of Things (IoT)-enhanced intelligent model, aiming to solve the problem of insufficient information exchange in the existing intelligent transportation system under dynamic traffic conditions. Thus, power management, intelligent driving ability, and driving comfort and safety can be improved. Through the application of IoT technology, a CVIS is established, which enables efficient information exchange between vehicles and infrastructure by constructing advanced IoT architectures, and utilizes reinforcement learning models to optimize system responses and driving strategies. The experimental results show that the system can maintain an effective accelerated response of the vehicle, even under heavy loads (up to 2000 kg) and complicated road conditions, with the fastest response time of 15.9 seconds. In addition, the system remarkably improves driving stability, especially in tests conducted on slippery roads and uphill segments. Regarding safety and security, the system achieved a commendable command recognition accuracy of about 100%. Moreover, integrated intelligent algorithms help reduce overall energy consumption while maintaining system performance. These results highlight the critical role of IoT technology in promoting the responsiveness and safety of intelligent vehicle systems.

中文翻译：

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通过物联网增强型协作车辆基础设施系统优化交通管理


在城市面积不断扩大、车辆数量不断增加的趋势下，传统的交通系统已经无法应对各种复杂的情况，信息交换不足的问题凸显出来。本研究基于物联网（IoT）增强智能模型的车路协同系统（CVIS），旨在解决动态交通条件下现有智能交通系统信息交换不足的问题。从而提高动力管理、智能驾驶能力、驾驶舒适性和安全性。通过物联网技术的应用，建立车路协同系统，通过构建先进的物联网架构，实现车辆与基础设施之间的高效信息交换，并利用强化学习模型来优化系统响应和驾驶策略。实验结果表明，即使在重载（高达2000公斤）和复杂路况下，该系统仍能保持车辆有效的加速响应，最快响应时间为15.9秒。此外，该系统还显着提高了行驶稳定性，尤其是在湿滑路面和上坡路段进行的测试中。在安全保障方面，该系统实现了令人称赞的约100%的命令识别准确率。此外，集成的智能算法有助于降低总体能耗，同时保持系统性能。这些结果凸显了物联网技术在促进智能车辆系统的响应能力和安全性方面的关键作用。