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

共 50 条

[31] Design and research on real-time monitor system for plants environmental state in the greenhouse
Chen Xueli
Jie Xu
Xu Yipping
Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3, 2006, : 1158 - 1161
[32] REAL-TIME DETECTION OF ROAD TRAFFIC INCIDENTS
Skorput, Pero
Mandzuka, Sadko
Jelusic, Niko
PROMET-TRAFFIC & TRANSPORTATION, 2010, 22 (04): : 273 - 283
[33] Camera location for real-time traffic state estimation in urban road network using big GPS data
Shan, Zhenyu
Zhu, Qianqian
NEUROCOMPUTING, 2015, 169 : 134 - 143
[34] Design and Development of a Real-Time Traffic Congestion Analysis System
Aswathi, R.
Jahnavi, U.
Yukta, H.
Ayush, A.
Manikandan, J.
PROCEEDING OF THE 2ND 2022 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSASE 2022), 2022, : 230 - 235
[35] Design real-time traffic information by cell transmission model
School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
不详
Beijing Hangkong Hangtian Daxue Xuebao, 2008, 2 (234-238):
[36] An efficient switch design for scheduling real-time multicast traffic
Liu, DM
Lee, YH
REAL-TIME AND EMBEDDED COMPUTING SYSTEMS AND APPLICATIONS, 2003, 2968 : 194 - 207
[37] A New Design of Real-time Traffic Index Model for Freeway
Xu, Fusheng
Huang, Zhongxiang
Zhu, Xueying
2017 FIFTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD), 2017, : 302 - 307
[38] Real-time road traffic states estimation based on kernel-KNN matching of road traffic spatial characteristics
Dong-wei Xu
Yong-dong Wang
Li-min Jia
Gui-jun Zhang
Hai-feng Guo
Journal of Central South University, 2016, 23 : 2453 - 2464
[39] Multisource Data Framework for Road Traffic State Estimation
Grau, Josep Maria Salanova
Mitsakis, Evangelos
Tzenos, Panagiotis
Stamos, Iraklis
Selmi, Luigi
Aifadopoulou, Georgia
JOURNAL OF ADVANCED TRANSPORTATION, 2018,
[40] Real-time road traffic states estimation based on kernel-KNN matching of road traffic spatial characteristics
Xu Dong-wei
Wang Yong-dong
Jia Li-min
Zhang Gui-jun
Guo Hai-feng
JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2016, 23 (09) : 2453 - 2464

← 1 2 3 4 5 →