DISTRIBUTED AIR-TRAFFIC-CONTROL .1. THEORETICAL-STUDIES

被引:3
作者
FINDLER, NV
LO, R
机构
[1] Comp. Sci. and Dir. of Artificial Intelligence Lab, Comp. Sci. Dept, Arizona State Univ., Tempe, AZ
[2] AT and T Bell Laboratories, Holmdel, NJ, 07733, Crawfords Corner Rd
来源
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE | 1993年 / 119卷 / 05期
关键词
D O I
10.1061/(ASCE)0733-947X(1993)119:5(681)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The present paper introduces some basic concepts and terminology of distributed planning, and describes a novel coordinator-coworker structure-a control mechanism that can dynamically reorganize the planning system in response to the tasks at hand. Coordinators get either self-appointed in unambiguous situations or selected through a unique and inexpensive nomination/confirmation process. The matching of tasks and coworkers is accomplished with minimum message passing and processing, by using appropriate meta-knowledge about the status of the network of nodes. Connections can be initiated by both coordinators and coworkers, leading to optimum load balancing. A hierarchically organized set of distributed scratch pads supports the coordinator-coworker mechanism. It is the medium for information exchange and also provides the basis for self-repairing in a graceful degradation mode whenever individual nodes become inoperational. We discuss the problems of air-traffic control and describe the kernel design of the airborne processors in a location-centered cooperative planning system. Finally, we explain the simulation-based planning process and its timing and selection considerations. A companion paper follows in the journal.
引用
收藏
页码:681 / 692
页数:12
相关论文
共 16 条
[1]  
Cammarata S., McArthur D., Steeb R., Strategies of cooperation in distributed problem solving, Proc., 9Th IJCAI Conf., pp. 767-770, (1985)
[2]  
Chambers A.B., Nagel D.C., Pilots of the future: Human or computers?, Comm. ACM, 28, pp. 1187-1199, (1985)
[3]  
Chien R.T., Artificial intelligence and human error prevention study in ATC systems, Final Rep., DOT-FA79WA-4360, (1982)
[4]  
Corkill D.D., Lesser V.R., The use of meta-level control for coordination in a distributed problem solving network, Proc., 8Th IJCAI Conf, pp. 748-756, (1983)
[5]  
Davis R., Smith R.G., Negotiation as a metaphor for distributed problem solving, Artificial Intelligence, 20, pp. 63-109, (1983)
[6]  
Findler N.V., Lo R., Distributed planning in air traffic control, J. Parallel and Distributed Comp, 3, pp. 411-431, (1986)
[7]  
Findler N.V., Lo R., Distributed air traffic control. II: Explorations in test bed, J. Transp. Engrg, 119, 5, pp. 693-704, (1993)
[8]  
Hunt V.R., Zellweger A., Strategies for future air traffic control systems, IEEE Comp., 20, pp. 19-32, (1987)
[9]  
Lesser V.R., Corkill D.D., Functionally accurate, cooperative distributed systems, IEEE Trans. On Systems, Man and Cybernetics, pp. 81-96, (1981)
[10]  
McArthur D.R., Steeb R., Cammarata S., A framework for distributed problem solving, Proc., AAAI Conf, pp. 181-184, (1980)