## 1 Introduction
In this regard, the literature [12] proposes a trust management system to address the reliability of vehicle messages in the Internet of Vehicles, using a specific consensus mechanism and smart contracts to effectively improve the accuracy of the vehicle's judgment of events. The literature [13] proposes a roadside-unit-assisted authentication and key negotiation protocol, adopting a trusted organization network model, using blockchain to manage the vehicle information ledger, realizing cross-organization authentication, and moving the computational load to the roadside unit to improve efficiency. The literature [14] proposes a secure event information sharing protocol, which solves the single point of failure that exists in traditional IoV systems by designing a consensus mechanism and a smart contract to ensure that the information is not tampered with and securely shared. The literature [15] proposes a vehicle data sharing scheme based on federated blockchain, designs an enhanced delegated proof-of-interest consensus algorithm to balance security and efficiency, and introduces a trust score model to improve the reliability of data. Although computational offloading and blockchain have been converged and achieved some milestones in IoV scenarios, the existing convergence schemes still have obvious deficiencies: on the one hand, there is still much room for improvement in reducing key performance indicators such as system latency, energy consumption, and overhead; on the other hand, the existing solutions do not guarantee system stability under dynamic changes in network topology, making it difficult to adapt to the demand for reliable services in the high-speed mobile environment of Telematics. These limitations seriously restrict the practical application of converged solutions in complex Telematics scenarios. In order to solve these problems, we propose a dynamic adaptive edge computing offloading architecture for Telematics, which deeply integrates a blockchain security mechanism and intelligent optimization algorithm. First, a blockchain-based single-vehicle multi-task computing offloading model is constructed; second, a novel polar lights optimization algorithm is designed for avoiding falling into the local optimum problem, which achieves significant improvement in key indicators such as system delay, energy consumption, overhead, and stability; finally, the blockchain consensus optimization mechanism with authorized Byzantine fault tolerance is used to ensure the security of the data in the transmission process. In summary, the core work carried out in this paper is as follows:  
* A blockchain-based multi-vehicle multi-task computational offloading model for mobile scenarios is established that can accurately map the task computational demand, offloading the logic and blockchain consensus process generated by vehicles in the process of dynamic mobility;
* A new polar lights optimization algorithm is adopted to optimize the computational offloading strategy, which accelerates the convergence speed while reducing the risk of falling into the local optimal solution and is significantly better than the traditional optimization methods;
* An authorized Byzantine fault-tolerant consensus mechanism is adopted to dynamically select consensus nodes through stake vote election, which ensures transactions are tamperable;
* The impact of task load, number of vehicles, and data volume on system performance under different offloading strategies is demonstrated in simulation experiments, which verifies the stability of the proposed strategies in dynamic IoV environments and confirms the effectiveness of the strategies proposed in this paper.