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- W2371156770 abstract "In order to adapt to the multi-state characteristic of traffic flow in intersections,based on the deuseiiess of mixture Erlang distribution,the arriving headway data of main road is fitted accurately by means of expectation maximization algorithm.Taking intersection in which the flow in minor road should give way to the one in main road as the research object and gathering the probabilities of minor road acceptable gaps,a capacity model of unsignalized intersection is put forward based on mixture Erlang distribution.Taking the actual survey headway of intersection as example,headway is fitted by using negative exponential distribution,Erlang distribution and mixture Erlang distribution,and then the minor road capacity is calculated with the capacity model of unsignalized intersection under different distribution conditions.The result indicates that mixture Erlang distribution shows better fitness,and the analysis result of proposed capacity model of unsignalized intersection is more accurate." @default.
- W2371156770 created "2016-06-24" @default.
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- W2371156770 date "2012-01-01" @default.
- W2371156770 modified "2023-09-26" @default.
- W2371156770 title "Capacity model of unsignalized intersection under multi-state flow conditions" @default.
- W2371156770 hasPublicationYear "2012" @default.
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