Investigate and measure the relationship between accident frequencies and the consistency of road geometric designs. Methodology: Several accident prediction models from straight section, curve section, and road segment data from variables that combine design consistency. Poisson and negative binomial regression approaches are used for model development. The model obtained can later be used as a quantitative tool for evaluating the impact of design consistency on road safety. From the model obtained, from all the results of the model, it was decided to use the model of negative binomial regression because the model has proven to be undispersed, so that the model results obtained are better than poisson regression. Obtained the final model with exponential and power forms. In addition, the model of the combined data results represents more existing field data, this is caused by several factors that can affect these results. Then, it was found that the model obtained could consider design consistency so that the model could identify inconsistencies better and accurately reflect the resulting impact on safety. Many road conditions in Indonesia are still incompatible with existing geometric road design standards. Consistency in the geometric design of the road must be considered, given that all elements in the geometric design of the road have an influence on the number of accidents that occur on the road. So more consideration is needed for new roads that are designed according to existing standards so as to produce a good road, hoping to reduce the number of accidents that occur significantly.
|Journal||Journal of Physics: Conference Series|
|Publication status||Published - 22 Apr 2021|
|Event||7th International Conference on Engineering, Technology, and Industrial Application, ICETIA 2020 - Virtual, Online, Indonesia|
Duration: 8 Dec 2020 → 9 Dec 2020