Safety performance functions for Two-Lane urban arterial segments | Kütüphane.osmanlica.com

Safety performance functions for Two-Lane urban arterial segments

İsim Safety performance functions for Two-Lane urban arterial segments
Yazar Bartın, Bekir Oğuz, Ozbay, K., Xu, C.
Basım Tarihi: 2023-11
Basım Yeri - Elsevier
Konu Calibration factor, Generalized linear models, Urban arterials, Highway safety manual, Safety performance functions
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 0925-7535
Kayıt Numarası 1a70b2b1-f439-4f58-81f9-9e05f9b71040
Lokasyon Civil Engineering
Tarih 2023-11
Notlar C2SMART ; Ozyegin University ; U.S. Department of Transportation ; New Jersey Department of Transportation ; New York University
Örnek Metin This paper presents the calibration and development process of the safety performance function for the undivided two-lane urban and suburban arterial segments in New Jersey. Data requirements, the availability of required data, and the data processing and extraction methods are presented, along with detailed results of the calibration and development process. Negative binomial, Poisson, zero-inflated Poisson and Hurdle models were generated using the development database. The best model fit was based on likelihood ratio test, AIC and BIC statistics, Vuong test and rootograms. The test database was used to calculate the calibration factor for U2 segments. The predictions of the location-specific count models were then evaluated and compared to those of calibrated Highway Safety Manual model, using the test dataset. The validation test results showed that the negative binomial and hurdle models exhibited better performance in terms of absolute residuals and absolute Pearson residual statistics. This paper also shows the impact of crash location information on analyses results, and underlines that efforts made to manually extract the missing required data can easily be offset by the inaccuracies in crash frequency databases, and the thresholds used to identify intersection related crashes.
DOI 10.1016/j.ssci.2023.106284
Cilt 167
Kaynağa git Özyeğin Üniversitesi Özyeğin Üniversitesi
Özyeğin Üniversitesi Özyeğin Üniversitesi
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Safety performance functions for Two-Lane urban arterial segments

Yazar Bartın, Bekir Oğuz, Ozbay, K., Xu, C.
Basım Tarihi 2023-11
Basım Yeri - Elsevier
Konu Calibration factor, Generalized linear models, Urban arterials, Highway safety manual, Safety performance functions
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 0925-7535
Kayıt Numarası 1a70b2b1-f439-4f58-81f9-9e05f9b71040
Lokasyon Civil Engineering
Tarih 2023-11
Notlar C2SMART ; Ozyegin University ; U.S. Department of Transportation ; New Jersey Department of Transportation ; New York University
Örnek Metin This paper presents the calibration and development process of the safety performance function for the undivided two-lane urban and suburban arterial segments in New Jersey. Data requirements, the availability of required data, and the data processing and extraction methods are presented, along with detailed results of the calibration and development process. Negative binomial, Poisson, zero-inflated Poisson and Hurdle models were generated using the development database. The best model fit was based on likelihood ratio test, AIC and BIC statistics, Vuong test and rootograms. The test database was used to calculate the calibration factor for U2 segments. The predictions of the location-specific count models were then evaluated and compared to those of calibrated Highway Safety Manual model, using the test dataset. The validation test results showed that the negative binomial and hurdle models exhibited better performance in terms of absolute residuals and absolute Pearson residual statistics. This paper also shows the impact of crash location information on analyses results, and underlines that efforts made to manually extract the missing required data can easily be offset by the inaccuracies in crash frequency databases, and the thresholds used to identify intersection related crashes.
DOI 10.1016/j.ssci.2023.106284
Cilt 167
Özyeğin Üniversitesi
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