| With the increasingly implementation of exclusive of allocation bus lane, more attention are paid to the impact of exclusive bus lane on the road resource. In this thesis, the situation of the road resource allocation with the bus lane will be analyzed based on the studying the capacity of such road. Since the research of capacity needs a large number of the data of the flow, which needs to spend a lot of human and the material. To solve this problem, in this paper, capacity data has been got with the micro-simulation technology, with the repeatability and the continuity of the micro-simulation technology, the weaving, merge and the diverge sections can be simulated and a lot of date can be get from this technology to make up the lack of the observational data, and then analysis the relationship between the capacity and the factors based on this technology. After the analysis, it will establish the mathematical model of the capacity and the factors. Three problems are studied in this thesis. Firstly, an effective method of the calibration of the simulation model is developed. This study uses the field data to calibrate the parameter of the model. In order to improve the efficiency of the calibration, this study analyzes the sensitivity of the driving behavior parameter and the distribution of desired speed. Then the parameters and the distribution of desired speed of higher sensitivity are chosen for the calibration. In the process calibration, SPSA combined with GA algorithm will be used. In addition, VB language and Matlab mathematical tool have been used to develop the system of parameters calibration. Secondly, this study proposes the influencing factors of the capacity based on the characteristics of the expressway with bus lane and analyze the relationship between the capacity and the influencing factors based on the output from the calibrated simulation model. Finally, more data of the capacity from the calibrated simulation model are used to analyze the mathematic relationship between capacity and the influencing factors. The mathematical models between the capacity and influencing factors are established, whose effectiveness is validated. The results prove that the established capacity model is effective. |