Urban passenger statistics is an important part of the social economic statistics, as an important part of urban passenger, the difference between supply and demand of taxi will directly impact the quality of residents' travel. The taxi passenger demand is forecasted according to the peoples travel conditions. The taximeter data survey method based on a fixed sample sampling and supplemented by the carpooling survey is put forward to determine the supply of taxi passenger. The difference between supply and demand of taxi passenger is analyzed. Accordingly, the result of the case analysis shows that analysis between supply and demand of taxi passenger provides strong support for government urban passenger management and control and be of great significance on theory and practice to the development of urban passenger transport industry.
Drop and pull transport is an efficient transportation mode. It brings considerable comprehensive economic benefit for companies, improves the transport efficiency and reduces carbon emissions quantity. In order to evaluate the performance comprehensively, the cost-benefit of environmental indicators are added to establish the comprehensive performance evaluation system of drop and pull transport on the basis of traditional financial evaluation index, the performance evaluation model with time value is also established. The comprehensive cost-benefit of drop and pull transport mode and traditional mode are analyzed by NAV and PVI. Accordingly, the result of the case analysis shows that drop and pull transport brings economic and green effects and has guiding significance to develop drop and pull transport.
In this paper, we try to solve 3D offline packing optimization problem by combining two methods-genetic algorithm’ global performance and simulated annealing algorithm’ local performance. Given Heuristic rules in loading conditions, we use the optimal preservation strategy and the roulette wheel method to choose selection operator, integrating simulated annealing algorithm into genetic algorithm , and achieving code programming and algorithms by Matlab.This paper carries out an actual loading in a vehicle company in Changchun City, then makes a contrast between the final optimization results and each suppliers’ current packing data.The experimental results show that the algorithm has a certain validity and practicability in multiple container packing problem.
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