| 摘要 |
A method of minimizing car bunching at any traffic flow level allocates closely adjacent stops to a given car which is favored by a variable, readjustable distributor bonus. The estimated lost time costs of all passengers are computed for each elevator and for each hall call, these costs are reduced by a variable distributor bonus concentrating adjacent stops in one car, and a hall call is then allocated for service to that elevator which displays the lowest, reduced estimated lost time costs. In order to assure the function of this method equally at high and low traffic levels, the variable distributer bonus (Bvn) is readjusted to the traffic flow level (Va) which serves as a tracking parameter by means of a tracking function according to the relationship Bvn = Bv.cndot.F(Va) and the readjusted variable distributor bonus is defined thereby. The tracking function F(Va) is determined by one of artificial intelligence methods and expert programs. By the dependence of the distributor bonus on traffic flow, the desired small local bunching of elevator cars is an optimum for every traffic level. This method is applicable to a plurality of different allocation criteria, service requests and tracking parameters.
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