Abstract
The number of traffic accidents in Saudi Arabia is huge, despite all the measures put in place. The current problem in traffic accidents can be best solved by visualization. It will enable users to see the analytics presented clearly and enable decision-makers to gain new insights about the road or identify new patterns faster. This research enables people to capture perceptions of traffic from the large volume of traffic dataset. Traffic Accident Analyzer is proposed as a tool that provides visual analytics for authorities, in order to understand traffic better and limit accidents. Interactive map, word-cloud, histogram, donut chart, and calendar are five visualization techniques that are integrated together into the tool. The approach is illustrated as a case study for traffic accident visualization systems, using a traffic accident dataset from the city of Riyadh for a period of 3 years. The preliminary evaluation of the Traffic Accident Analyzer Tool referred to that the tool is appropriate for the intended purpose, also, the tool is acceptable to users based on usability testing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chen W, Guo F, Wang FY (2015) A Survey of Traffic Data Visualization. IEEE Trans Intell Transp Syst 16(6):2970–2984
Guo H, Wang Z (2010) TripVista : triple perspective visual trajectory analytics and its application on microscopic traffic data at a road intersection. In: Vis. Symp. PacificVis.2011 IEEE Pacific, pp 163–170
Mansuri FA, Al-zalabani AH, Zalat MM, Qabshawi RI (2015) Road safety and road traffic accidents in Saudi Arabia. Saudi Med J 36(4):418–424
Traffic accidents occur every minute in KSA, http://www.arabnews.com/saudi-arabia/news/717596. Last accessed: 2017/9/26
Mohamed HA (2015) Estimation of socio-economic cost of road accidents in Saudi Arabia: willingness-to-pay approach (WTP). Adv Manag Appl Econ 5(3):19
R. Spence (2001) Information visualization, 3rd edn. Springer, Switzerland
Thomas JJ, Cook KA (2005) Illuminating the path: the research and development agenda for visual analytics. IEEE Comput Soc, 184
Ramos L, Silva L, Santos MY, Pires JM (2015) Detection of road accident accumulation zones with a visual analytics approach. Procedia Comput Sci 64:969–976
Viégas FB, Wattenberg M (2007) Artistic data visualization: beyond visual analytics. Online Commun Soc Comput 4564:182–191
Picozzi M, Verdezoto N, Pouke M, Vatjus-Anttila J, Quigley A (2013) Traffic Visualization—applying information visualization techniques to enhance traffic planning. In: Int. Conf. Comput. Graph. Theory Appl. Int. Conf. Inf. Vis. Theory Appl., 554–557
Anwar A, Nagel T, Ratti C (2014) Traffic origins: a simple visualization technique to support traffic incident analysis. IEEE Pacific Vis Symp, 316–319
Shafabakhsh GA, Famili A, Bahadori MS (2017) GIS-based spatial analysis of urban traffic accidents: case study in Mashhad Iran. J Traffic Transp Eng English Ed 4(3):290–299
Yalcin G, Duzgun HS (2015) Spatial analysis of two-wheeled vehicles traffic crashes: Osmaniye in Turkey. KSCE J Civ Eng 19(7):2225–2232
Igual L, Seguí S (2017) Barcelona accidents 2017, https://dieguico.carto.com/viz/50b06d8c-13ab-11e5-8619-0e4fddd5de28/embed_map, last accessed 2017/11/12
Lokala U, Nowduri S, Sharma PK (2017) Road accidents Bigdata mining and visualization using Support Vector Machines (SVM). In: 19th international conference on machine learning and applications
Pack M, Wongsuphasawat K, VanDaniker M, Filippova D (2009) ICE—visual analytics for transportation incident datasets. Inf. Reuse, 200–205
Alomar A, Alrashed N, Alturaiki I, Altwaijry H (2017) How visual analytics unlock insights into traffic incidents in Urban Areas. Soc Comput Soc Media Appl Anal 10283:378–393
Wibisono A, Jatmiko W, Wisesa HA, Hardjono B, Mursanto P (2016) Traffic big data prediction and visualization using Fast Incremental Model Trees-Drift Detection (FIMT-DD). Knowledge-Based Syst 93:33–46
What is data visualization? http://searchbusinessanalytics.techtarget.com/definition/data-visualization, last accessed 2017/12/02
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Almajyul, A., Al-Ghreimil, N. (2022). Traffic Accident Analyzer: A Visual Analytics Tool for Traffic Accidents Dataset. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_80
Download citation
DOI: https://doi.org/10.1007/978-981-16-2377-6_80
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2376-9
Online ISBN: 978-981-16-2377-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)