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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianzhe Tai Suying Yang Hong Tan |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian (Jianzhe Tai; Suying Yang; Hong Tan) |
| Abstract | Aiming at the problem of uncertainty for information collection in traditional elevator group control system (EGCS), this study proposes a method about dispatching approach optimization for a new type of EGCS with destination floor guidance. The characteristic of destination floor guidance is information admixture of hall call registration and destination selection. EGCS with destination floor guidance can attain nearly complete and reliable information aggregation in advance to guide the passenger flow effectively. In order to realize the accurate prediction of input parameters, all of the hall call registrations are classified to four groups. Based on it, the optimized prediction algorithms of evaluation items are established, including the average waiting time of passengers (AWT), the average riding time of passengers (ART), rate of waiting long time of passengers (LWR), and riding power consumption (RPC). Especially, fuzzy neural network (FNN) is applied to optimize multiple objectives for realizing reasonable dispatching approach. The simulated results show that the algorithm applied in the paper improves the evaluation items by 10% at least as compared with the traditional algorithm and it indicates an excellent application to enhance the holistic capability of EGCS. |
| Starting Page | 7085 |
| Ending Page | 7088 |
| File Size | 112895 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421138 |
| DOI | 10.1109/WCICA.2008.4594016 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Floors Elevators Dispatching Fuzzy neural networks Prediction algorithms Fuzzy control Subspace constraints Dispatching approach optimization Destination floor guidance Elevator group control system Fuzzy Neural Network |
| Content Type | Text |
| Resource Type | Article |
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