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Development of a Korea highway safety evaluation proto type model on the concept of IHSDM crash prediction module

Author

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  • Eunjin Choi
  • Eungcheol Kim
  • Hanseon Cho
  • Jaeho Yang

Abstract

This study tries to develop a Korea highway safety evaluation proto type model for quantified safety evaluation. We develop a base model and crash modification factors (CMFs) through reviewing the procedures and methodologies in Highway Safety Manual . At the same time, we try to carefully consider collectable data and roadway environment of Korea that are different from the USA. CMFs are developed through models and expert's judgement. Developed CMFs are for driveway density, pedestrian crosswalk, existence of median, terrain types, and land-use types. Also, verification of the developed base model and CMFs were performed using two routes of Korea's rural two-lane highways while comparing with roadway safety design synthesis and Crash Prediction Module (CPM) of Interactive Highway Safety Design Model (IHSDM). Applicability analysis was then performed in two aspects of predictability and adaptability of the proto type model. As a result, CMFs and predicted accident estimates of CPM are similar with the developed Korea proto type model. However, the base model and CMFs of the developed proto type for Korea are more precise than the others when evaluating sections where the number of actual accidents is higher. It is found that considering CMF for land-use type is justifiable when developing a Korea highway safety evaluation proto type model. This study validates the possibility of developing a full scale of Korea highway safety evaluation model.

Suggested Citation

  • Eunjin Choi & Eungcheol Kim & Hanseon Cho & Jaeho Yang, 2014. "Development of a Korea highway safety evaluation proto type model on the concept of IHSDM crash prediction module," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(1), pages 61-75, March.
  • Handle: RePEc:taf:rjusxx:v:18:y:2014:i:1:p:61-75
    DOI: 10.1080/12265934.2014.887478
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