Calibration of safety performance function for crashes on inter-city four lane highways in India by Naveen Kumar ChikkaKrishna, Manoranjan Parida, Sukhvir Singh Jain

“…There is a significant need to improve the highway safety during roadway planning, design and operations in developing countries like India. …”
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Exploring truck driver-injury severity at intersections considering heterogeneity in latent classes: A case study of North Carolina by Li Song, Wei (David) Fan

“…This study uses the North Carolina’s truck-involved crash at intersection data during 2005 to 2017 from the Highway Safety Information System (HSIS). The estimated parameters and associated marginal effects are combined to interpret the impact of the significant variables within specific clusters. …”
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A multinomial logit model of pedestrian-vehicle crash severity in North Carolina by Zhen Chen, Wei (David) Fan

“…Pedestrian-vehicle crash data from Highway Safety Information System (HSIS) database from 2005 to 2012 are collected and used in this study. …”
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Spatial pattern identification and crash severity analysis of road traffic crash hot spots in Ohio by Md Saiful Alam, Nusrat Jahan Tabassum

“…This study's contribution is the incorporation of crash severity into hot spot analysis using GIS, which could lead to better-informed decision-making in the realm of highway safety.…”
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Review of emulsified asphalt modification mechanisms and performance influencing factors by Yongjun Meng, Jing Chen, Weikang Kong, Yirong Hu

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Safety impact of highway geometrics and pavement parameters on crashes along mountainous roads by Ankit Choudhary, Rahul Dev Garg, S.S. Jain

“…Having the capability of estimating both the number of crashes and their severity levels, crash prediction models are a precious tool in highway safety. However, there hasn't been any research on predicting traffic crashes on Indian mountainous rural highways. …”
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Design and testing of a roadside traffic threat alerting mechanism by Powale, Pallavi

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Development of accident prediction model by using artificial neural network (ANN) by Ramli, Mohd Zakwan

“…Statistical or crash prediction model have frequently been used in highway safety studies. They can be used in identify major contributing factors or establish relationship between crashes and explanatory accident variables. …”
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Deformation and failure mechanism of colluvial landslide under sustained rainfall-a case study of Xinzhan landslide in Tongzi County, China by Zhou Ke, Wang Hong, Liao Jianxing, Zhang Yuguang, Chen Fangping, Yang Zhengjun

“…The R2 of the fitting formula is 0.971, which indicates that the formula can effectively serve the early warning and provide convenience for highway safety construction.…”
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Intellectual transport system for human safety using machine learning approach by K. Aanandha Saravanan, S. Ramkumar, M. Revathy, K. Mohanthi, T.N. Prabakar, Venugopal, G.V. Raja

“…In this research, we present machine learning-based highway safety solutions for a 6G-enabled intellectual traffic system with a mix of automated and manned automobiles. …”
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A surrogate safety analysis at sharp gore areas of diverging freeway ramps using micro simulation under congested traffic conditions by Abdulaziz H. Alshehri, Muhammad Umer Farooq, Abdul Farhan, Ahmed M. Yosri, Fayez Alanazi, Ahmed Farouk Deifallah, Mohamed Ahmed Okail

“…Abstract Safety at the gore areas near diverging ramps is very crucial during planning and implementation of highway safety improvement programs. Limited research has been conducted on safety at the gore areas on arterial roads. …”
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"Performance and viscoelastic analysis of rock asphalt/rubber powder co-modified asphalt" by ZHANG Shuai1,2, WANG Lian-fang1,2, ZHAO Xu1, LIU Yi-mei3

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Investigation of winter weather crash injury severity using winter storm classification techniques by Curtis L. Walker, Aemal J. Khattak, Muhammad Umer Farooq, John Cecava, Mark R. Anderson

“…Analysis was performed to identify weather conditions causing highway safety concerns. The important takeaway of the study was that most winter weather-related vehicular crashes in Nebraska were associated with relatively minor winter weather conditions. …”
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Exploring the influential factors of roadway departure crashes on rural two-lane highways with logit model and association rules mining by M. Ashifur Rahman, Xiaoduan Sun, Subasish Das, Sushmita Khanal

“…Findings from this study are expected to help highway safety specialists not only in identifying and predicting RwD crashes but also in an improved understanding of associated contributing factors leading to the application of proper countermeasures for the strategic reduction of RwD crashes.…”
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One-Dimensional Convolutional Neural Network Model for Local Road Annual Average Daily Traffic Estimation by Sonu Mathew, Srinivas S. Pulugurtha, Chaitanya Bhure, Sarvani Duvvuri

“…The outputs from the methodological framework proposed in this research help practitioners perform safety evaluation, planning and implementing infrastructure improvements, fund allocation and prioritization, air quality estimates, and meeting Highway Safety Improvement Program (HSIP) reporting requirements.…”
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Exploring association of contributing factors to pedestrian fatal and severe injury crashes under dark-no-streetlight condition by Ahmed Hossain, Xiaoduan Sun, Raju Thapa, Md. Mahmud Hossain, Subasish Das

“…Based on the findings, this research also suggests safety recommendations that can assist highway safety practitioners in determining appropriate countermeasures to reduce pedestrian crashes in the dark-no-streetlight condition.…”
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Assessment of the transferability of European road safety inspection procedures and risk index model to Egypt by Omar Erieba, Giuseppina Pappalardo, Ahmed Hassan, Dalia Said, Salvatore Cafiso

“…For instance, in North America, researchers developed the Highway Safety Manual (HSM) which provides crash prediction models (CPM) and safety performance functions (SPFs) used in implementing effective safety measures. …”
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A review on evaluation of crack resistance of asphalt mixture by semi-circular bending test by Yongjun Meng, Weikang Kong, Chaoliang Gou, Shenwen Deng, Yirong Hu, Jing Chen, Liupeng Fan

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Predicting Highway Risk Event with Trajectory Data: A Joint Approach of Traffic Flow and Vehicle Kinematics by Shichun Huang, Haiyu Chen, Xin Wen, Hui Zhang

“…Real-time collision risk prediction is essential for improving highway safety and reducing traffic accidents. However, previous studies have mainly used crash data and associated spatially discrete and temporally continuous traffic data, overlooking the potential of vehicle trajectory data, which provides comprehensive spatio-temporal information to characterize traffic near a specific location. …”
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A New Stopping Sight Distance Model and Fuzzy Reliability Analysis Comparison by Ya Chen, Fu Zhu, Wenyi Chen, Shizhong Zhao

“…Finally, according to the “Unified Standard for Reliability Design of Highway Engineering Structures”, the traditional reliability calculation method and fuzzy reliability calculation method are respectively used to calculate the stopping sight distance value corresponding to the highway safety level. Taking the calculated value of ESC system stopping sight distance model at the design speed of 120 km/h as a reference, the reliability index and failure probability of the two reliability calculation methods are calculated. …”
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