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Reseach Article

On Studying the Inter-relationships Amongst the Various Driving Criteria for Studying the Driving Behavior in India

by Yogender Singh, V. K. Aggarwal, Lakshay Aggarwal, Remica Aggarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 20
Year of Publication: 2020
Authors: Yogender Singh, V. K. Aggarwal, Lakshay Aggarwal, Remica Aggarwal
10.5120/ijca2020920195

Yogender Singh, V. K. Aggarwal, Lakshay Aggarwal, Remica Aggarwal . On Studying the Inter-relationships Amongst the Various Driving Criteria for Studying the Driving Behavior in India. International Journal of Computer Applications. 176, 20 ( May 2020), 42-45. DOI=10.5120/ijca2020920195

@article{ 10.5120/ijca2020920195,
author = { Yogender Singh, V. K. Aggarwal, Lakshay Aggarwal, Remica Aggarwal },
title = { On Studying the Inter-relationships Amongst the Various Driving Criteria for Studying the Driving Behavior in India },
journal = { International Journal of Computer Applications },
issue_date = { May 2020 },
volume = { 176 },
number = { 20 },
month = { May },
year = { 2020 },
issn = { 0975-8887 },
pages = { 42-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number20/31319-2020920195/ },
doi = { 10.5120/ijca2020920195 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:43:05.216917+05:30
%A Yogender Singh
%A V. K. Aggarwal
%A Lakshay Aggarwal
%A Remica Aggarwal
%T On Studying the Inter-relationships Amongst the Various Driving Criteria for Studying the Driving Behavior in India
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 20
%P 42-45
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Across all cultures and traditions, people describe spirituality as a dimension of experience that goes beyond the obvious way of perceiving reality as made up of separate physical objects. Buddhism talks about no-self or emptiness, while the Yogic tradition talks about true self or fullness. Abrahamic religions talk about the Creator or the Ground of Being. “Non-religious but spiritual” people might talk about “Awareness,” or nature, or Reality with a capital ‘R’. The truth is that all seem to point to a common unitive or absolute principle that goes beyond words and this common principle is always apprehended and expressed through the filter of the individual’s unique culture and history with language and belief system. Present research work is an attempt to explore the spiritual meditation philosophy and thereafter studying the interrelationships amongst various challenges towards adoption of spiritual metrics due to nature of spirituality . These interrelationships have been study with the help of ISM methodology .

References
  1. Bifulco, G. N., Galante, F., Pariota, L. 2014 .Data Collection for Traffic and Drivers’ Behavior Studies: a large-scale survey", Procedia - Social and Behavioral Sciences, 111, 721–730. https://doi.org/10.1016/j.sbspro.2014.01.106
  2. Plochl, M., Edelmann, J. 2007 . Driver models in automobile dynamics application, Vehicle System Dynamics, 45(7-8), 699–741. https://doi.org/10.1080/00423110701432482.[2
  3. Haghighat, F. 2011 . Application of a multi-criteria approach to road safety evaluation in the Bushehr Province, Iran", PROMET - Traffic & Transportation, 23(5), 341–352. https://doi.org/10.7307/ptt.v23i5.152 .
  4. Hermans, E., Van den Bossche, F., Wets, G. 2008. Combining road safety information in a performance index . Accident Analysis & Prevention, 40(4), 1337–1344. https://doi.org/10.1016/j.aap.2008.02.004
  5. Nanda, S., Singh, S. 2018. Evaluation of factors responsible for road accidents in India by Fuzzy AHP , In: Perez, G., Mishra, K., Tiwari, S., Trivedi, M. (eds.) Networking Communication and Data Knowledge Engineering, Lecture Notes on Data Engineering and Communications Technologies, 3, Springer, Singapore, 179–188. https://doi.org/10.1007/978-981-10-4585-1_15
  6. Shi, H. 2009. Fuzzy evaluation approach of road traffic safety based on AHP . In: 2009 International Conference on Future BioMedical Information Engineering (FBIE), Sanya, China, 394–397. https://doi.org/10.1109/FBIE.2009.5405832 .
  7. Bao, Q., Ruan, D., Shen, Y., Hermans, E. 2012 . Improved hierarchical fuzzy TOPSIS for road safety performance evaluation", Knowledge-Based Systems, 32, 84–90. https://doi.org/10.1016/j.knosys.2011.08.014.
  8. De Oña, J., De Oña, R., Eboli, L. 2014.How to identify the key factors that affect driver perception of accident risk, A comparison between Italian and Spanish driver behavior", Accident Analysis and Prevention, 73, 225–235. https://doi.org/10.1016/j.aap.2014.09.020
  9. Fuller, R. 2005.Towards a general theory of driver behavior", Accident Analysis & Prevention, 37(3), 461–472. https:/doi.org/10.1016/j.aap.2004.11.003
  10. Wang, B., Hensher, D. A., Ton, T. 2002 . Safety in the road environment: A driver behavioral response perspective", Transportation, 29(3), 253–270. https://doi.org/10.1023/A:1015661008598
  11. Sandin, J. 2009. An analysis of common patterns in aggregated causation charts from intersection crashes , Accident Analysis and Prevention, 41(3), 624–632. https://doi.org/10.1016/j.aap.2009.02.015
  12. Da Silva, F. P., Santos, J. A., Meireles, A. 2014.Road accident: Driver behavior, learning and driving task, Procedia – Social and Behavioral Sciences, 162, 300–309. https://doi.org/10.1016/j.sbspro.2014.12.211
  13. Yan, X., Li, X., Liu, Y., Zhao, J. 2014 . Effects of foggy conditions on drivers’ speed control behaviors at different risk levels", Safety Sciences, 68, 275–287. https://doi.org/10.1016/j.ssci.2014.04.013
  14. Öz, B., Özkan, T., Lajunen, T. 2010 . Professional and non-professional drivers’ stress reactions and risky driving", Transportation Research Part F, 13, 32–40. https://doi.org/10.1016/j.trf.2009.10.001.
  15. Bener, A. B., Yildirim, E., Ozkan, T. 2017. Driver sleepiness, fatigue, careless behavior and risk of motor vehicle crash and injury: Population based case and control study", Journal of Traffic and Transportation engineering (English edition), 4(5), 496–502. https://doi.org/10.1016/j.jtte.2017.07.005 .
  16. Caird, J. K., Willness, C. R., Steel, P. 2008 .A meta-analysis of the effects of cell phones on driver performance", Accident Analysis and Prevention, 40(4), 1282–1293. https://doi.org/10.1016/j.aap.2008.01.009.
  17. Khattak, A.J.,Koppelman, F.S.,& Schofer, Information and Implications for Information Systems. Proceedings of the 72nd annual meeting of the Transportation Research Board. Washington, DC: Transportation Research Board.
  18. Neelima Chakrabarty, Kamini Gupta 2013. Analysis of driver behaviour and crash characteristics during adverse weather conditions , Procedia Social and Behavioural Sciences 104; 1048-1057. 2013
  19. Vinand M Nantulya , Michael R Reich . The neglected epidemic : road traffic injuries in developing countries , BMJ. 2002: 324, 1139-1141.
  20. Verma, A., Velumurugan,S., Chakrabarty, N.& Srinivas, S. 2011 .Recommendations for driver licensing and traffic law enforcement in India aiming to improve Road safety.Jr. of Current Science, 100(9).
  21. Warfield, J.N. 1974. Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, (1), 81-87.
Index Terms

Computer Science
Information Sciences

Keywords

Spiritual meditation philosophy Christianity Spiritual metrics ISM Methodology