Abstract
Vertical traffic scheduling is significant in evaluating the quality of property management. An excellent vertical traffic scheduling approach aims at enhancing the system handling capacity and reducing the waiting time, journey time and energy consumption, especially in up-peak traffic pattern. To balance workloads of elevator cars in the system is a good choice for any peak traffic. This paper proposed a novel PSO-based dynamic scheduling algorithm for vertical traffic in buildings. The service zones for elevators are determined by considering their expected round-trip time. Our preliminary simulation results show that the proposed algorithm balances the round-trip time over the elevator system and further improves the service quality of elevator system in buildings.
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References
Barney, G.C., dos Santos, S.M.: Elevator Traffic Analysis, Design and Control. IEE Peter Peregrinus, London (1985)
Powell, B.A: Important Issues in Up-peak Traffic Handling. In: Proceedings of the 1992 International Conference on Elevator Technologies, Amsterdam, Holland, pp. 207–218 (1992)
Chan, W.L., So, A.T.P., Lam, K.C.: Dynamic Zoning in Elevator Traffic Control. In: Proceedings of the 1995 International Conference on Elevator Technologies, Hong Kong, China, pp. 132–140 (1995)
So, A.T.P., Chan, W.L.: Comprehensive Dynamic Zoning Algorithms. Elevator World, XLV(8), 899–109 (1997)
Zeng, J.C., Jie, J., Cui, Z.H.: Particle Swarm Optimization Algorithms. Chinese Press of Science (2004)
Bergh, F., Engelbrecht, A.P.: A Cooperative Approach to Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation 8(3), 225–239 (2004)
The Chartered Institute of Building Services Engineers’ (CIBSE), CIBSE Guide D -Transportation System in Buildings, London (1993)
So, A.T.P., Beebe, J.R., Chan, W.L., et al.: An Artificial Neural-Network Based Traffic Patterns Recognition System. International Journal of Elevator Engineering 1, 35–46 (1996)
Chiang, T.C., Fu, L.C.: Design of Modem Elevator Group Control Systems. In: Proc. of IEEE Int. Conf. on Robotics and Automation, Washington, DC, USA, pp. 1465–1470 (2002)
Kameli, Nader.: Predictor Elevator for Traffic during Peak Conditions, United States (Patent, No. 5276295) (1994)
Zhang, Y., Li, Z.H., Mao, Z.Y.: Elevator Traffic Analysis and Elevator Scheduling, Chinese. Journal of China Elevator 17(3), 10–15 (2006)
Cortes, P., Larraneta, J., Onieva, L.: Genetic Algorithm for Controllers in Elevator Groups. Analysis and Simulation during Lunchpeak Traffic, Applied Soft Computing 4, 159–174 (2004)
Li, Z.H., Tan, H.-Z., Zhang, Y.N., Mao, Z.Y.: Dynamic Optimization of Elevator Group Control Based on Artificial Immune Algorithm under Inter-Floor Peak Traffic During Lunch-time. Chinese Journal of Control Theory and Applications 24(2), 177–182 (2007)
Li, Z.H., Chen, S.B., Zheng, R.R., Wu, J.P., Mao, Z.Y.: A Novel Approach to Clustering Analysis Based on Support Vector Machine. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol. 3173, pp. 565–571. Springer, Heidelberg (2004)
Li, Z.H., Tan, H.Z.: A Combinational Clustering Method Based on Artificial Immune System and Support Vector Machine. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds.) KES 2006. LNCS (LNAI), vol. 4251, pp. 153–162. Springer, Heidelberg (2006)
Xu, Y.G, Luo, F.: Pattern Recognition of Traffic Flows in Elevator Group Control Systems Based on SVM, Chinese. Journal of South China University of Technology (Natural Science) 33(6), 32–35 (2005)
Li, Z.H., Wu, J.P., Mao, Z.Y.: Research on Dynamic Zoning of Elevator Traffic Based on Artificial Immune Algorithm. In: Proceedings of the 8th International Conference on Control, Automation, Robotics and Vision, Kunming, China, pp. 2169–2174 (2004)
Li, Z.H., Mao, Z.Y.: Matlab-based Simulation of Elevator Group Control System with Multi-level Velocity Mode. Journal of System Simulation 17(8), 1997–2000 (2005)
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Li, Z., Tan, HZ., Zhang, Y. (2007). Particle Swarm Optimization Applied to Vertical Traffic Scheduling in Buildings. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_102
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DOI: https://doi.org/10.1007/978-3-540-74819-9_102
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