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Traffic condition m...
Traffic condition monitoring using weighted kernel density for intelligent transportation
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- Lee, C C (author)
- School of Science and Technology, Open University of Hong Kong, Hong Kong
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- Lee, W C (author)
- Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, Hong Kong
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- Cai, H (author)
- Department of Electronic Engineering, City University of Hong Kong, Hong Kong
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- Chi, H R (author)
- Department of Electronic Engineering, City University of Hong Kong, Hong Kong
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- Wu, C K (author)
- Department of Electronic Engineering, City University of Hong Kong, Hong Kong
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- Haase, J (author)
- Faculty of Electrical Engineering, University of the Federal Armed Forces Hamburg, Hamburg, Germany
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- Gidlund, Mikael (author)
- Mittuniversitetet,Avdelningen för informations- och kommunikationssystem,ABB Corporate Research, Sweden
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(creator_code:org_t)
- 2015
- 2015
- English.
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In: Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015. - 9781479966493 ; , s. 624-627
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- Smart transportation is an application of intelligent system on transportation domain, expected to bring the society environmental and economic advantages. By combining with IoT techniques, the concept is being enhanced and raised to a system level. Numerous data are able to collect and effective analysis technique is needed. Here in this paper, we proposed a framework of employing IoT technique to construct a free time navigation system. The system aims at providing a real-time quantification of traffic conditions and suggests optimal route based on the information retrieved. The system can be basically separated into two major components: (i) the traffic condition estimation module and the (ii) real-time routing algorithm. In the first component, traffic conditions of roads will be estimated based the information collected from sensors installed on vehicles. Based on these location and speed information, the traffic condition can be quantified using a weighted kernel density estimation (WKDE) function. This function is a function of time and provides a real time insight of the overall traffic condition. By combining this information and the topological structure of the road network, a more accurate time consumption on each road can be estimated and hence enable a better routing.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Estimation
- Internet
- Kernel
- Navigation
- Real-time systems
- Vehicles
Publication and Content Type
- ref (subject category)
- kon (subject category)
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