Evaluation of safety benefits of automatic crash information notification systems on freeways
Author:
Publisher
Springer Science and Business Media LLC
Subject
Automotive Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12239-014-0052-4.pdf
Reference22 articles.
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2. Blow, O., Magliore, L., Claridge, J. A., Butler, K. and Young, J. S. (1999). The golden hour and the silver day: detection and correction of occult hypoperfusion within 24 hours improves outcome from major trauma. J. Trauma, Injury, Infection, and Critical Care, 7, 964–969.
3. Bose, D., Crandall, J. R., McGwin, G., Goldman, J., Foster, J. and Fine, P. R. (2011). Computational methodology to predict injury risk for motor vehicle crash victims: A framework for improving advanced automatic crash notification systems. Transportation Research Part C, 19, 1048–1059.
4. Clark, D. E. and Cushing, B. M. (2002). Predicted effect of automatic crash notification on traffic mortality. Accident Analysis and Prevention, 34, 507–513.
5. Delmelle, E. M., Rogerson, P. A., Akella, M. R., Batta, R., Blatt, R. and Wilson, G. (2005). A spatial model of received signal strength indicator values for automated collision notification technology. Transportation Research Part C, 13, 432–447.
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