To take full advantage of urban rail transit (URT), it needs the cooperation of bus from capacity, station spacing, network, and hub. The compute method to match transport capacity was brought forward. In addition, based on minimal traveling time, the optimum station spacing between bus and URT was determined. And the guiding principles are formulated for the restructuring and optimization of the networking system for public buses and URT. Finally, hubs between URT and bus were classed three sub-grades, and their layout was planned, and the design method of transfer channels method was proposed.

Starting with the two key factors of road breadth and the distance to intersections, the present paper analyzed the constraints of road conditions on setting curb parking lots and, by analyzing the influencing mechanism of curb parking on traffic capacity, constructed the compensation model of traffic capacity for motor vehicles on the parking road sections. Then, the paper went on to set the values of compensation coefficients for road breadth, vehicles in parking in and driving out, non-motor vehicles, and lateral clearance, so as to calculate, with the precondition of guaranteeing certain service standards, the maximal values of curb parking lots on road sections under the constraints of traffic capacity. In addition, it also constructed the driving speed model according to BRP resistance function and, via the analysis of “Friction” effect and “Blocking” effect of curb parking on traffic flows of motor vehicle lanes, measured the influence of curb parking on driving speed in order to exactly determine of maximal parking value under the condition that the minimal driving speed of motor vehicles can be ensured. Finally, for the purpose of finding the balance between dynamic and static traffic and of maximally utilizing the remaining road resources, the maximal number of curb parking lots shall be the minimal value to satisfy the constraints of road conditions, traffic capacity and driving speed.

The analysis of the unban road traffic state based on kinds of floating car data, is based on the model and algorithm of floating car data preprocessing and map matching, etc. Firstly, according to the characteristics of the different types of urban road, the urban road section division has been carried on the elaboration and optimization. And this paper introduces the method of calculating the section average speed with single floating car data, also applies the dynamic consolidation of sections to estimate the section average velocity.Then the minimum sample size of floating car data is studied, and section average velocity estimation model based on single type of floating car data in the different case of floating car data sample sizes has been built. Finally, the section average speed of floating car in different types is fitted to the section average car speed by the least square method, using section average speed as the judgment standard, the grade division standard of urban road traffic state is established to obtain the information of road traffic state.

With the rising of urban rail transit planning and constructing in China, the relationship between rail transit and bus must be located. After analyzed the inevitability of competition and the necessity of cooperation between rail transit and bus, this paper strategically located the relationship between rail transit and bus. At last, based on the characteristic of competition between rail transit and bus, this paper brought forward specific measures of staggering competition with cooperation corresponding to different rail transit develop stage to implement rail transit and bus. Higher level competition will be formed, and the competition result is not “single win” but “both win”.