Road quality information detect system is an important component in architecture quality detect system, also is the basement of successfully working of other related project for the whole country. The study of detecting the road crack is the key to insure the security of accurately detect the road quality in transportation system. In this paper, we come up with a fixed way of road undersized rift image detection by using cellular neural networks. By image processing, building rift networks and details networks and adding the model of similarity undersized rift networks. It can avoid the problem that can not accurately detect undersized crack by only taking the crack feature value. The experiment proved that fixed crack detect computing is easy to do, more accurate to detect the undersized cracks on the road and can reach the standard level of current detect technique.

As a type of Mobile Ad-Hoc Network (MANET), Vehicle Ad-hoc Network (VANET) has its own features such as high speed vehicles, large number of vehicles and highly dynamic driving environment. These features bring new requirements to VANET. Transmission speed, respond time and reliability level of communication have very strict instantaneity and Quality of service (QoS) demands. There are many optimized designs to satisfy the demands on each layer of communication in VANET. But there are lack of optimized works on safety messages’ communication sub-layer. In this paper, we introduce queuing theory to model and design the communication sub-layer. The results of simulation and field test show our design has achieved the requirements on both performance and function. The average improvements on performance are one times than before.

We build an interference model to embody the influence from topological distribution, transmission power and packet transmission rate quantitatively. Then game theory is introduced. We take transmission power and position tracking accuracy as game strategy and payoff respectively. The existence of Nash equilibrium in vehicle network are proved. A Nash equilibrium is corresponding to the optimized transmission power vector for vehicles. Vehicle network self-adaptive power control algorithm (VNSPCA) is proposed to adjust transmission power in vehicle network. Finally, we conduct simulation and compare the performance of VNSPCA with MINPCA and MAXPCA.