TY - GEN
T1 - Analysis of crash frequency model
T2 - 16th International Conference on Quality in Research, QiR 2019 - 2019 International Symposium on Advances in Mechanical Engineering, ISAME 2019
AU - Syaifullah, Danu Hadi
AU - Juliant, Geovano
AU - Iqbal, Billy Muhamad
AU - Moch, Boy Nurtjahyo
N1 - Funding Information:
ACKNOWLEDGMENT This work is supported by Hibah PITTA 2018 funded by DRPM Universitas Indonesia No. 2400/UN2.R3.1/HKP.05.00/2018 and also, the author would like to acknowledged PT Jasa Marga for providing data for the research. The opinions, finding, and conclusions expressed here are those of the authors.
Publisher Copyright:
© 2020 Author(s).
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/5/6
Y1 - 2020/5/6
N2 - This paper analyzed several road factors that affect crash occurrence that happen in Indonesia Toll roads. The factors analyzed are Annual Average Daily Traffic (AADT), road length, presence of rest area, and number of lanes. The purpose of this paper is to determine if these four factors affect the crash occurrence at Indonesia toll roads. The method that is used in this paper is negative binomial regression. The data collected are separated based on the number of lanes and also toll road segments. The data were obtained from PT.Jasa Marga for 4 years period (2012 - 2016). In this study, there are two types of model, first one is 'basic' model where AADT and road length are the only explanatory variables that processed and for the second model is the 'improved' model, where in this model, some explanatory variables are added, and some of the outliers are removed.
AB - This paper analyzed several road factors that affect crash occurrence that happen in Indonesia Toll roads. The factors analyzed are Annual Average Daily Traffic (AADT), road length, presence of rest area, and number of lanes. The purpose of this paper is to determine if these four factors affect the crash occurrence at Indonesia toll roads. The method that is used in this paper is negative binomial regression. The data collected are separated based on the number of lanes and also toll road segments. The data were obtained from PT.Jasa Marga for 4 years period (2012 - 2016). In this study, there are two types of model, first one is 'basic' model where AADT and road length are the only explanatory variables that processed and for the second model is the 'improved' model, where in this model, some explanatory variables are added, and some of the outliers are removed.
KW - Crash Frequencies
KW - Crash Model
KW - Negative Binomial Regression
UR - http://www.scopus.com/inward/record.url?scp=85096394990&partnerID=8YFLogxK
U2 - 10.1063/5.0004551
DO - 10.1063/5.0004551
M3 - Conference contribution
AN - SCOPUS:85096394990
T3 - AIP Conference Proceedings
BT - Recent Progress on
A2 - Nahry, null
A2 - Marthanty, Dwinanti Rika
PB - American Institute of Physics Inc.
Y2 - 22 July 2019 through 24 July 2019
ER -