Research On Characteristics Of Vessel Traffic Flow On The Grand Canal

With the increasing demand of waterway, the navigation pressure of part of routes will increase greatly, or even appear vessel traffic bottleneck congestions, especially in the segment of larger ship distribution density. In order to improve the channel capacity and optimize waterway traffic organization, it need to have in-depth understanding of inland waterway vessel traffic flow, which benefits reasonable explanation of traffic phenomenon and its mechanism. This thesis studied the correlation between the three basic parameters of flow, speed and density, and statistically analyzed the traffic flow characteristics according to the actual navigation data. The thesis has also established the inland waterways vessel traffic flow cellular automaton model so as to have a comprehensive analysis of vessel traffic flow characteristics in free and non-free flow state. The vessel traffic flow characteristics were compared with the road traffic flow characteristics, which have enriched the traffic flow theory.According to the actual navigation data of the Grand Canal, the major ship classification and characteristics of ship scale was counted, the characteristics of the flow, density and velocity and the relationship among the three basic parameters were analyzed. The minimum interval statistics which matches the Grand Canal vessel traffic flow characteristics was discussed, which laid the foundation for the construction of inland waterway vessel traffic flow model. The results shown that currently single vessel has become the main capacity of goods transportation in the grand canal and single ship's length and width are focused on 30-50m and 6-8m. The results of the study recommends one hour as the minimum interval statistics. The flow has direct relationship with the density in the Grand Canal, and the vessel traffic flow is in free flow state, velocity distribution is discrete and has nothing to do with density and flow. This characteristics are consistent with the free flow of traffic flow.Based on the theory of Cellular Automaton, cell parameter Settings, vessel-following and overtaking were discussed. The MATLAB was utilized for establishing two-channel simulation model of inland vessel traffic flow, and verified the stability and rationality of the model. Vessel traffic flow characteristics in free and non-free flow state was synthetically analyzed, the impacts of ship equivalent on the relationship of the three basic parameters and the basic characteristic of the variable were discussed, and the formation, propagation and impact area of vessel traffic bottleneck congestions was analyzed. By compared with the road traffic flow, their relation of basic parameters distribution are consistent, although the composition of traffic flow are different between the vessel traffic flow and the road traffic flow, which indicates the certain representativeness and universality of traffic flow characteristics. The distribution relationship between flow and the density in the Grand Canal is the inverted V. The relationship between velocity and the density is inverse proportion, which coincides with the Greenberg model. The max flow is 35 ship/h, the optimum density is 6 ship/Km, and the jam density is 19 ship/Km.