Passenger Flow Analysis of Direct Metro Lines
Abstract
The metro or subway has become a preferred plan for going out, hence the pressure of urban traffic has been put on metro or subway. Based on the original metro network, we designed some through train to optimize the operation efficiency of the whole metro network and the social benefits brought by it. Meanwhile we shorten the travel time of long-distance passengers; on the other hand, we decrease the intermediate site traffic pressure. We separately pick up the possible metro line of the whole metro network as analysis object, through choosing a fixed range at the two ends of the line as the data object model analysis. Using Poisson distribution and multiple linear regression analysis to calculate the direct passenger flow rate between the two stations, then we get the direct passenger flow rate in the selected range of traffic between two stations, and select the two stations that has the maximum of those rate as the result of terminals. Considering the passengers’ waking-time, waiting-time and journey time, we can get the passengers’ travel time by algorithm analysis. And using the passengers’ travel time as test model reference quantity of model test, and reducing the travel time can directly improve the social benefit and economic benefit.
Keywords
Travel time distribution, Multiple linear regression, Passengers flow
DOI
10.12783/dtcse/cmsam2017/16405
10.12783/dtcse/cmsam2017/16405
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