ارزیابی شباهت هندسی داده های مکانی داوطلبانه در شبکه معابر درون شهری

نوع مقاله : علمی - پژوهشی

نویسندگان

1 دانش آموخته دکتری، دانشکده مهندسی معدن، دانشگاه صنعتی سهند، تبریز، ایران

2 استادیار، دانشکده مهندسی نقشه برداری و اطلاعات مکانی، پردیس دانشکده-های فنی، دانشگاه تهران، تهران، ایران

چکیده

دسترسی سریع و به­روز به اطلاعـات مرتبط با شبکه راه­هـای درون شهری یکی از ضروریاتی است که در کاربردهـای مختلف در حـوزه حمل­ونقل احساس می­شود. از این رو در این تحقیق تلاش شده است با ارزیابی شبـاهت هندسی  اطلاعـات مکانی داوطلبانه (VGI) از طریق مقایسه آنها با مجمـوعه داده­های رسمی، جایگزینی مطمئن به محققین ارائه داد. برای این منظور راهکاری نوین ارائه می­گردد که ضمن شناسایی عوارض متناظر در دو مجموعه داده VGI و رسمی، هر یک از این عوارض از منظر معیارهای طول، فاصله، جهت، حریم مشترک، پیچیدگی، اندازه و اعوجاج با یکدیگر مورد مقایسه قرار ­می­گیرند. از این رو منطقه شش تهران به عنوان منطقه مورد مطالعه و مجموعه داده با مقیاس 1:2000( تهیه شده توسط سازمان نقشه­برداری کشور) به عنوان مجموعه داده رسمی انتخاب گردید. نتایج نشان داد که عوارض موجود در مجموعه داده OSM (نمونه­ای از اطلاعات مکانی داوطلبانه) به طور میانگین 78 درصد شباهت مکانی با مجموعه داده رسمی دارند. همچنین جهت ارزیابی سیر بهبود دقت هندسی مجموعه داده­های VGI، شبکه راه­های درون شهری در سال­های 2014 تا 2017 مورد ارزیابی قرار گرفت. نتایج نشان داد که که ضمن افزایش 8/27 درصدی مشارکت مردم در ترسیم عوارض، میانگین درصد شباهت مکانی نیز به مقدار 77/5 درصد بهبود یافته است. از این رو محققین در بسیاری از کاربردهای مرتبط با حوزه حمل و نقل می­توانند از مجموعه داده­های VGI به عنوان جایگزینی برای مجموعه داده رسمی استفاده کنند.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Assessment of Geometric Similarity of Volunteered Geographic Information in Intra-city Roads Network

نویسندگان [English]

  • Alireza Chehreghan 1
  • Rahim Ali Abbaspour 2
1 PhD. Grad., Faculty of Mining Engineering, Sahand University of Technology, Tabriz, Iran
2 Assistant Professor, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran
چکیده [English]

Fast and updated access to the information related to urban roads network is one of the requirements with various applications in the field of transportation. Accordingly, the present study tries to evaluate geometric similarities between volunteered geographical information through comparing them with the official dataset, in order to provide the researchers with more assured alternatives. To do so, a new solution is provided, which while identifying the corresponding features in volunteered geographical information dataset and official dataset, compares these features to each other in terms of length, distance, orientation, buffer overlapped area, complexity, size, and sinuosity. For this reason, District 6 of Tehran was selected as case of the study and the 1:2000 dataset (prepared by National Cartographic Center) was selected as the official dataset. The results were indicative of a 78% mean spatial similarity between the features in Open Street Map (OSM) dataset (a sample of volunteered geographical information) and those in the official dataset. Also, in order to evaluate improvement of geometric accuracy in volunteered geographic information dataset, urban roads networks were studied in years 2014-2017. The results showed that while public participation in creating the features has increased by 27.8%, the mean spatial similarity has also improved to 5.77%. Therefore, the researchers can use volunteered geographical information dataset as an alternative for the official dataset in many of the transportation related applications.

کلیدواژه‌ها [English]

  • Roads Network
  • Assessment of Geometric Similarities
  • Volunteered Geographical Information
  • OSM Dataset
  • Official Dataset
-Afandizadeh, S., Javanshir, H. and Elyasi, R. (2010) "Development of a model for designing urban bus transit network based on tabu search", Quarterly Journal of Transportation Engineering, Vol. 1, No. 4, pp. 13-26.
-Alenouri, H., Meshkani, S. M., Saffarzadeh, M. and sherafatypour, S. (2015) "Locating cameras at the entrances of plate number rationing zone to maximize violations detection", Quarterly Journal of Transportation Engineering, Vol. 6, No. 2, pp. 181-196.
-Anderson, D. L., Ames, D. P. and Yang, P. (2014) "Quantitative methods for comparing different polyline stream network models", Journal of Geographic Information System, Vol. 6, No. 2, pp. 88-98.
-Beheshtinia, M. A. and Bargbid, H. (2017) "A hybrid model to identify effective factors in road transportation hazards and prioritize black spots (case study: Neyshabour-Sabzevar axis)", Quarterly Journal of Transportation Engineering, Online publishing.
-Chehreghan, A. and Abbaspour, R. A. (2017) "An assessment of spatial similarity degree between polylines on multi-scale, multi-source maps", Geocarto International, Vol. 32, No. 5, pp. 471-487.
-Craglia, M. (2007) "Volunteered geographic information and spatial data infrastructures: when do parallel lines converge, paper presented at Position paper for the Specialist Meeting" , Volunteered Geographic Information, December 1-13 , Santa Barbara.
-Fan, H., Zipf, A., Fu, Q. and Neis, P. (2014) "Quality assessment for building footprints data on OpenStreetMap", International Journal of Geographical Information Science, Vol. 28, No. 4, pp. 700-719.
-Fan, H., Yang, B., Zipf, A. and Rousell, A. (2016) "A polygon-based approach for matching OpenStreetMap road networks with regional transit authority data", International Journal of Geographical Information Science, Vol. 30, No. 4, pp. 748-764.
-Flanagin, A. J. and Metzger, M. J. (2008) "The credibility of volunteered geographic information", GeoJournal, Vol. 72, No. 3, pp. 137-148.
-Forghani, M. and Delavar, M. (2014) "A quality study of the openstreetmap dataset for Tehran", ISPRS International Journal of Geo-Information, Vol. 3, No. 2, pp.750-760.
-Girres, J. F. and Touya, G. (2010) "Quality assessment of the French OpenStreetMap dataset", Transactions in GIS, Vol. 14, No. 4, pp. 435-459.
-Goodchild, M. F. (2007) "Citizens as sensors: the world of volunteered geography", GeoJournal, Vol. 69, No. 4, pp. 211-221.
-Goodchild, M. F. and Hunter, G. J. (1997) "A simple positional accuracy measure for linear features", International Journal of Geographical Information Science, Vol. 11, No. 3, pp. 299-306.
-Haklay, M. (2010) "How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets", Environment and planning B: Planning and design, Vol. 37, No. 4, pp. 682-703.
-Haklay, M., Singleton, A. and Parker, C. (2008) "Web mapping 2.0: The neogeography of the GeoWeb", Geography Compass, Vol. 2, No. 6, pp. 2011-2039.
-Khammar, G., Pasban, V. and Mojgan, N. (2017) "An application of ant colony algorithm in optimal routing of inter- cities ambulances", Quarterly Journal of Transportation Engineering, Vol. 8, No. 3, pp. 389-404.
-Li, L. and Goodchild, M. F. (2011) "An optimisation model for linear feature matching in geographical data conflation", International Journal of Image and Data Fusion, Vol. 2, No. 4, pp. 309-328.
-Mackaness, W. A. and Mackechnie, G. A. (1999) "Automating the detection and simplification of junctions in road networks", GeoInformatica, Vol. 3, No. 2, pp. 185-200.
-Mascret, A., Devogele, T., Berre, I. L. and Hénaff, A. (2006) "Coastline matching process based on the discrete Fréchet distance", Springer.
-Mirbaha, B., Sherafatipour, S. and Mahpour, A. (2015) "Congestion Pricing Model for Urban Congested Roads (Case Study: Sadr Elevated Highway)", Quarterly Journal of Transportation Engineering, Vol. 7, No. 2, pp. 353-365. (In Persian)
-Mohammadi, N. and Malek, M. (2015) "VGI and Reference Data Correspondence Based on Location‐Orientation Rotary Descriptor and Segment Matching", Transactions in GIS, Vol. 19, No. 4, pp. 619-639.
-Olteanu Raimond, A. M. and Mustière, S. (2008) "Data Matching – a Matter of Belief, in Headway in Spatial Data Handling", edited by A. Ruas and C. Gold, pp. 501-519, Springer Berlin Heidelberg.
-Rasafi, R., Momeni, F., Astaraki, Z. and Amini, B. (2012) "The Application of Multi-Criteria Decision-Making Analysis to Identify Hot Spots: Data Envelopment Analysis and Concordance Analysis", Quarterly Journal of Transportation Engineering, Vol. 3, No. 4, pp. 301-314.
-Saberian, J., Malek, M. and Hamrah, M. (2014) "Using Dual Graph and Wavelet Transform for Evaluation and Planning Transportation systems", Quarterly Journal of Transportation Engineering, Vol. 5, No. 3, pp. 317-328.
-Teymourian, F., Alesheikh, A. A., Alimohammadi, A. and SadeghiNiaraki, A. (2014) "Developing a system for measuring transportation performance and information distribution of urban bus using volunteer geographic information (VGI)", Quarterly Journal of Transportation Engineering, Vol. 6, No. 2, pp. 225-236.
-Tong, X., Liang, D. and Jin, Y. (2014) "A linear road object matching method for conflation based on optimization and logistic regression", International Journal of Geographical Information Science, Vol. 28, No. 4, pp. 824-846.
-Walter, V. and Fritsch, D. (1995) "Matching techniques for road network data in different data models", paper presented at International Symposium on Automotive Technology & Automation (28th). Proceedings for the dedicated conference on mechatronics: efficient computer support for engineering manufacturing, testing and reliability.
-Walter, V. and Fritsch, D. (1999) "Matching spatial data sets: a statistical approach", International Journal of Geographical Information Science, Vol. 13, No. 5, pp. 445-473.
-Wang, Y., Chen, D., Zhao, Z., Ren, F. and Du, Q. (2015) "A Back-Propagation Neural Network-Based Approach for Multi-Represented Feature Matching in Update Propagation", Transactions in GIS, Vol. 19, No. 6, pp. 964-993.
-Zhang, M. (2009) "Methods and implementations of road-network matching", Unpublished PhD Dissertation, Technical University of Munich.
-Zolfaghari, A. and KarkeAbadi, Z. (2013) "Intelligent Routing For Rescue Squads using Game Theory Algorithm In Semnan", Quarterly Journal of Transportation Engineering, Vol. 5, No. 1, pp. 19-32.