Indian Journal of Science and Technology

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Evaluating Route Security and Predicting the Safest Alternative using Risk Factors


Affiliations
1 Shah Abdul Latif University Khairpur, Ghotki Campus, Sindh-65110, Pakistan
2 Mehran University of Engineering and Technology, Jamshoro, Sindh-76062, Pakistan
 

Objectives: The paper aims a cost effective infrastructure for accurate analysis of route with security perspective. A cost effective system is the necessity in the developing countries. Methods: The application exploits the cyberspace information in order to locate the safest route to be chosen from source to destination and ensure people who want to reach home in minimum time. Also the route information is crawled through the internet. Different parameters have been identified in order to evaluate the risk conditions for some selected alternative. Findings: By increasing the number of attributes affecting the route selection better results can be mined from the available news set. Novelty/Improvement: Combining and investigating the nature of event over some specific place may reveal the criminal activities at some point.
User

  • Speake J, Axon S. I never use ‘Maps’ anymore: Engaging with Sat Nav Technologies and the implications for cartographic literacy and spatial awareness. The Cartographic Journal. 2012; 49(4):326-36.

  • Hounsell NB, Shrestha BP, Piao J, McDonald M. Review of urban traffic management and the impacts of new vehicle technologies. IET Intelligent Transport Systems. 2009 Dec; 3(4):419-28.

  • Bruns A. Gatewatching: Collaborative Online News Production. Peter Lang; 2005. p. 1-330.

  • Thurman N. Forums for citizen journalists? Adoption of user generated content initiatives by online news media. New Media and Society. 2008 Feb; 10(1):139-57.

  • Delling D, Goldberg AV, Goldszmidt M, Krumm J, Talwar K, Werneck RF. Navigation made personal: Inferring driving preferences from GPS traces. Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems; 2015 Nov. p. 1-31.

  • Bradley NA, Dunlop MD. An experimental investigation into wayfinding directions for visually impaired people. Personal and Ubiquitous Computing. 2005 Nov; 9(6):395-403.

  • Chang KP, Wei LY, Yeh MY, Peng WC. Discovering personalized routes from trajectories. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Social Networks; 2011 Nov. p. 33-40.

  • Ziebart BD, Maas AL, Dey AK, Bagnell JA. Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior. Proceedings of the 10th International Conference on Ubiquitous Computing; 2008 Sep. p. 322-31.

  • Basiri A, Amirian P, Winstanley A, Marsh S, Moore T, Gales G. Seamless pedestrian positioning and navigation using landmarks. The Journal of Navigation. 2016; 69(1):24-40.

  • Furukawa H. Furukawa H. Empirical evaluation of the pedestrian navigation method for easy wayfinding. IEEE International Conference and Workshop on Computing and Communication (IEMCON); 2015. p. 1-7.

  • Millonig A, Schechtner K. Developing landmark-based pedestrian-navigation systems. IEEE Transactions on Intelligent Transportation Systems. 2005; 4:1-7.

  • Chung J, Schmandt C. Going my way: A user-aware route planner. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; 2009 Apr. p. 1899-902.

  • Basiri A, Jackson M, Amirian P, Pourabdollah A, Sester M, Winstanley A, Moore T, Zhang L. Quality assessment of Open Street Map data using trajectory mining. Geo-Spatial Information Science. 2016 Jan; 19(1):56-68.

  • Amirian P, Basiri A. Landmark-based pedestrian navigation using augmented reality and machine learning. Progress in Cartography. Springer, Cham; 2016. p. 451-65.

  • Zheng Y, Elefteriadou L, Chase T, Schroeder B, Sisiopiku V. Pedestrian traffic operations in urban networks. Transportation Research Procedia. 2016 Jan; 15:137-49.

  • Rahman K, Ghani NA, Kamil AA, Mustafa A, Chowdhury MA. Modelling pedestrian travel time and the design of facilities: A queuing approach. PloS one. 2013 May; 8(5):63503.


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  • Evaluating Route Security and Predicting the Safest Alternative using Risk Factors

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Authors

Sadaquat Ali Ruk
Shah Abdul Latif University Khairpur, Ghotki Campus, Sindh-65110, Pakistan
Sehar Gul Khan
Mehran University of Engineering and Technology, Jamshoro, Sindh-76062, Pakistan
Salahuddin Saddar
Mehran University of Engineering and Technology, Jamshoro, Sindh-76062, Pakistan
Naeem Ahmed Mahoto
Mehran University of Engineering and Technology, Jamshoro, Sindh-76062, Pakistan
Syed Maqsood Zia Shah
Shah Abdul Latif University Khairpur, Ghotki Campus, Sindh-65110, Pakistan
Samiullah Brohi
Mehran University of Engineering and Technology, Jamshoro, Sindh-76062, Pakistan

Abstract


Objectives: The paper aims a cost effective infrastructure for accurate analysis of route with security perspective. A cost effective system is the necessity in the developing countries. Methods: The application exploits the cyberspace information in order to locate the safest route to be chosen from source to destination and ensure people who want to reach home in minimum time. Also the route information is crawled through the internet. Different parameters have been identified in order to evaluate the risk conditions for some selected alternative. Findings: By increasing the number of attributes affecting the route selection better results can be mined from the available news set. Novelty/Improvement: Combining and investigating the nature of event over some specific place may reveal the criminal activities at some point.

References





DOI: https://doi.org/10.17485/ijst%2F2018%2Fv11i27%2F130543