DocumentCode :
1425147
Title :
Hortatory operations in highway traffic management
Author :
Murray, John ; Liu, Yili
Author_Institution :
Dept. of Ind. & Oper. Eng., Michigan Univ., Ann Arbor, MI, USA
Volume :
27
Issue :
3
fYear :
1997
fDate :
5/1/1997 12:00:00 AM
Firstpage :
340
Lastpage :
350
Abstract :
This article examines two aspects of traffic management for highway networks. First, we introduce the term hortatory operations to describe highway traffic management as a type of human-machine system in which human operators have limited ability to directly control activities in the system. Instead, they must rely heavily on distributing messages of advice and encouragement as a means to achieve smooth traffic behavior. We discuss some of the features of this type of system. Second, we portray traffic management as a process that integrates both quantitative and qualitative information. We then describe the development and testing of a decision-aiding software tool that combines the two types of information. The tool supports traffic management by helping operators differentiate between demand-based and incident-based congestion. The decision aid´s performance was investigated using real traffic data. The results of statistical analysis showed that the integrated process had superior performance compared to the “traditional” quantitative analysis running alone
Keywords :
decision support systems; knowledge based systems; man-machine systems; road traffic; traffic control; traffic engineering computing; decision-aiding software tool; demand-based congestion; highway traffic management; hortatory operations; human-machine system; incident-based congestion; knowledge based systems; qualitative information; quantitative information; Communication system traffic control; Control systems; Humans; Man machine systems; Performance analysis; Quality management; Road transportation; Software testing; Software tools; Statistical analysis;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/3468.568742
Filename :
568742
Link To Document :
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