The study conducted in India using Fuzzy Inference System (FIS) is a novel approach to predicting traffic accident rates on rural highways. By various highway geometric elements as input data, the was able identify risk variables related roadway features and predict FIS. findings of suggest that FIS valuable tool for can help factors contribute accidents. also found statistically significant po...

This study aimed to investigate the relative performance of two models (negative binomial (NB) model and two-component finite mixture of negative binomial models (FMNB-2)) in terms of developing crash modification factors (CMFs). Crash data on rural multilane divided highways in California and Texas were modeled with the two models, and crash modification functions (CMFunctions) were derived. T...

This paper presents an agent-based traffic simulation framework that supports intelligent virtual driver behaviour. The framework exploits concepts used in Artificial Life (ALife), Artificial Intelligence (AI) and Agent technology to model the inherent unpredictability and autonomous behaviour of drivers within traffic simulation models. Each driver agent in our system contains knowledge and a ...

In this study, a two-state Markov switching count-data model is proposed as an alternative to zero-inflated models to account for the preponderance of zeros sometimes observed in transportation count data, such as the number of accidents occurring on a roadway segment over some period of time. For this accident-frequency case, zero-inflated models assume the existence of two states: one of the ...

The primary objective of this work is the development of a fuzzy logic based algorithmic procedure for a reactive highway (arterial) monitoring and incident detection. The research study also aim s at developing a methodology for analyzing time-dependent incident data. Five years of records were gathered and analyzed using data cross tabulation and factorial analysis. A Visual Basic Microscopic...

In this study, two-state Markov switching count data models are proposed as an alternative to zero-inflated models, in order to account for preponderance of zeros typically observed in accident frequency data. Similar to zero-inflated models, two-state Markov switching models assume an existence of two states of roadway safety. One of the states is a zero-accident state, which is safe. The othe...

Construction industry in India is vast and complex involving modern technology as well the workforce. Annually construction alone contributes 24.2 % (on an average 38 people per day) fatalities out of estimated 48000 fatal occupational accidents occurred India. As government megaprojects are progress, incidence injuries also rose among workers Uttarakhand. This study aims to present a profile v...

This manuscript describes a methodology for estimating the variance and 95% confidence intervals (CI) for the estimate of the product between baseline models and Accident Modification Factors (AMFs). This methodology is provided for the upcoming Highway Safety Manual (HSM) currently in development in the United States (U.S.). The methodology is separated into two parts. The first part covers th...

A person was convicted of manslaughter on a charge of operating a motor vehicle on a public highway while under the influence of intoxicating liquor and he appealed to the supreme court. After the accident out of which the charge of manslaughter arose, the defendant remained unconscious for about 48 hours. While unconscious he was arrested and taken into custody by the police and treated for hi...