Landscape Evaluation and Most Beautiful Route Planning from Big Website Date

doi:10.11908/j.issn.0253-374x.2016.03.008

Home > Archive>Volume 44, Issue 3, 2016 >0383-0388. DOI:10.11908/j.issn.0253-374x.2016.03.008

Landscape Evaluation and Most Beautiful Route Planning from Big Website Date
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                        10.11908/j.issn.0253-374x.2016.03.008
                    
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                        ZHANG XiaZHANG Xia
School of Urban Design, Wuhan University, Wuhan 430072, China
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ZHAO WeidanZHAO Weidan
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
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JIANG WenpingJIANG Wenping
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
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TANG LuliangTANG Luliang
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
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Abstract:

This paper presents a roadside landscapes evaluation model (RLEM) based on big website data about web hotspots, such as web searching data, web checkin data and web voting data. Then, Road beauty degree(RBD) is calculated by the proposed RLEM and the roadside landscapes’ visual ranges along road. Finally, the most beautiful route planning algorithm is designed and realized based on road networks RBD. An experiment was applied in Wuhan (China), where twentyeight landscapes were measured by RLEM, and the road networks RBD were calculated. Comparing between the proposed model and the traditional shortest path model, the results show us that routes planned by the proposed method have higher RBD than the routes planned by the traditional shortest method.

Key words:web hotspots; road beauty degree; most beautiful route; route planning; big data

Reference

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ZHANG Xia, ZHAO Weidan, JIANG Wenping, TANG Luliang. Landscape Evaluation and Most Beautiful Route Planning from Big Website Date[J].同济大学学报(自然科学版),2016,44(3):0383~0388

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Received:May 05,2015
Revised:December 06,2015
Adopted:October 10,2015
Online: March 24,2016
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