Aiming at the problem of coordinated control within urban traffic sub-areas and boundary intersections, a traffic signal control model based on Hierarchical multi-granularity and Macroscopic Fundamental Diagram (HDMF) was proposed. First, the hierarchical multi-granularity characteristic of the urban traffic system and the rough set theory were used to describe the real-time states of the traffic elements. Then, combined with the distributed intersection signal control based on backpressure algorithm and the dynamic characteristics of the traffic elements, the pressures of the intersection phases were calculated and the phase decision was made. Finally, Macroscopic Fundamental Diagram (MFD) was used to achieve the maximum total flow of vehicles driving out of the area and the optimal number of vehicles in each sub-area. Experimental results showed that HDMF model had the average queue length reduced by 6.35% and 10.01% respectively, and had the average travel time reduced by 6.55% and 11.15% respectively compared with EMP (Extended cooperative Max-Pressure control) model and HGA model based on MFD and hybrid genetic simulated annealing algorithm. It can be seen that the propsed HDMF model can effectively relieve interior and boundary traffic congestions of sub-areas and maximize the traffic flow of the whole road network.

The recovery of callback function is a difficult problem in static binary translation. For the static binary translation of using C language as backend, this paper put forward a technique of analyzing the gap code and plugging codes into the target programs which searched the callback function address based on the source function address. This method can be implemented effectively. The speed of translated code running exceeds the speed of using interpreter.