Scipediacontent: Scipediacontent moved page Draft Content 707531369 to Xiao et al 2018a

2021-02-15T09:29:38Z

Scipediacontent moved page Draft Content 707531369 to Xiao et al 2018a

Scipediacontent: Created page with " == Abstract == Traffic peak period detection is very important for the guidance and control of traffic flow. Most common methods for traffic peak period detection are based..."

2021-02-15T09:29:36Z

Created page with " == Abstract == Traffic peak period detection is very important for the guidance and control of traffic flow. Most common methods for traffic peak period detection are based..."

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== Abstract ==

Traffic peak period detection is very important for the guidance and control of traffic flow. Most common methods for traffic peak period detection are based on data analysis. They have achieved good performance. However, the detection processes are not intuitional enough. Besides that, the accuracy of these methods needs to be improved further. From an image processing view, we introduce a concept in corner detection, sharpness, to detect the traffic peak periods in this paper. The proposed method takes the traffic peak period detection problem as a salient point detection problem and uses the image processing strategies to solve this problem. Firstly, it generates a speed curve image with the speed data. With this image, the method for detection of salient points is adopted to obtain the peak point candidates. If one candidate has the lowest speed value, this candidate is the peak point. Finally, the peak period is gotten by moving forward and backward the corresponding time of the peak point with a time interval. Experimental results show that the proposed method has achieved higher accuracy. More importantly, as the proposed method solves the traffic peak period detection problem from an image processing view, it has more intuition.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_707531369-beopen741-4198-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://downloads.hindawi.com/journals/jat/2018/2097932.pdf http://downloads.hindawi.com/journals/jat/2018/2097932.pdf] under the license https://creativecommons.org/licenses/by

* [http://dx.doi.org/10.1155/2018/2097932 http://dx.doi.org/10.1155/2018/2097932] under the license cc-by

* [http://downloads.hindawi.com/journals/jat/2018/2097932.pdf http://downloads.hindawi.com/journals/jat/2018/2097932.pdf],
: [http://downloads.hindawi.com/journals/jat/2018/2097932.xml http://downloads.hindawi.com/journals/jat/2018/2097932.xml],
: [http://dx.doi.org/10.1155/2018/2097932 http://dx.doi.org/10.1155/2018/2097932] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1155/2018/2097932 http://dx.doi.org/10.1155/2018/2097932],
: [https://doaj.org/toc/0197-6729 https://doaj.org/toc/0197-6729],
: [https://doaj.org/toc/2042-3195 https://doaj.org/toc/2042-3195] under the license http://creativecommons.org/licenses/by/4.0/

* [https://www.hindawi.com/journals/jat/2018/2097932 https://www.hindawi.com/journals/jat/2018/2097932],
: [http://downloads.hindawi.com/journals/jat/2018/2097932.pdf http://downloads.hindawi.com/journals/jat/2018/2097932.pdf],
: [https://core.ac.uk/display/153688616 https://core.ac.uk/display/153688616],
: [https://academic.microsoft.com/#/detail/2789433560 https://academic.microsoft.com/#/detail/2789433560]

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Xiao et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 707531369 to Xiao et al 2018a

Scipediacontent: Created page with " == Abstract == Traffic peak period detection is very important for the guidance and control of traffic flow. Most common methods for traffic peak period detection are based..."