A State of the Art on the Most Relevant Patents in Vertical Transportation in Buildings

Nowadays, the building industry and its associated technologies are experiencing a period of rapid growth, which requires an equivalent growth regarding technologies in the field of vertical transportation. Therefore, the installation of synchronised elevator groups in modern buildings is a common practice in order to govern the dispatching, allocation and movement of the cars shaping the group. So, elevator control and management has become a major field of application for Artificial Intelligence approaches. Methodologies such as fuzzy logic, artificial neural networks, genetic algorithms, ant colonies, or multiagent systems are being successfully proposed in the scientific literature, and are being adopted by the leading elevator companies as elements that differentiate them from their competitors. In this sense, the most relevant companies are adopting strategies based on the protection of their discoveries and inventions as registered patents in different countries throughout the world. This paper presents a comprehensive state of the art of the most relevant recent patents on computer science applied to vertical transportation.

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[4]  Tapio Tyni,et al.  Evolutionary bi-objective optimisation in the elevator car routing problem , 2006, Eur. J. Oper. Res..

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[7]  Li Zhong-hua.  Dynamic optimization of elevator group control based on artificial immune algorithm for inter-floor peak traffic during lunch-time , 2007 .

[8]  Yunong Zhang,et al.  Particle Swarm Optimization Applied to Vertical Traffic Scheduling in Buildings , 2007, KES.

[9]  Peter B. Luh,et al.  Group Elevator Scheduling With Advance Information for Normal and Emergency Modes , 2008, IEEE Transactions on Automation Science and Engineering.

[10]  Marja-Liisa Siikonen,et al.  Elevator Group Control with Artificial Intelligence , 1997 .

[11]  Jianchang Liu,et al.  Ant Colony Algorithm and Fuzzy Neural Network-based Intelligent Dispatching Algorithm of An Elevator Group Control System , 2007, 2007 IEEE International Conference on Control and Automation.

[12]  Kotaro Hirasawa,et al.  A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[13]  Carlos H. Llanos,et al.  Distributed approach to group control of elevator systems using fuzzy logic and FPGA implementation of dispatching algorithms , 2008, Eng. Appl. Artif. Intell..