Applying Design Science Research to Design and Evaluate Real-Time Road Traffic State Estimation Framework

被引：0

作者：

Habtie, Ayalew Belay ^{[1
]}

Abraham, Ajith ^{[2
,3
]}

Midekso, Dida ^{[1
,3
]}

机构：

[1] Univ Addis Ababa, Dept Comp Sci, Addis Ababa, Ethiopia

[2] MIR Labs, Auburn, WA USA

[3] Tech Univ Ostrava, VSB, IT4Innovations, Ostrava, Czech Republic

来源：

ADVANCES IN NATURE AND BIOLOGICALLY INSPIRED COMPUTING | 2016年 / 419卷

关键词：

Design science research; Framework; Artifact; Matching analysis-projection-synthesis (MAPS); Artificial neural network (ANN); Simulation of urban mobility (SUMO);

D O I：

10.1007/978-3-319-27400-3_20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents how design science research can be used to design and evaluate real-time road traffic state estimation framework. An integrated framework of the six process steps of design science research process model and the Matching Analysis-Projection-Synthesis (MAPS) tool was used as a research design to develop the proposed state estimation framework. The utility and efficiency of the framework was evaluated based on the adapted design science research evaluation guideline through simulation and the estimation accuracy indicated that reliable road traffic state estimation can be generated based on the developed framework.

引用

页码：223 / 233

页数：11

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