During the last few decades, the two-fluid model and its two parameters have been widely used in transportation engineering to represent the quality of operational traffic service on urban arterials. Catastrophe models have also often been used to describe traffic flow on freeway sections. This paper demonstrates the possibility of developing a pro-active network screening tool that estimates the crash rate using a stochastic cusp catastrophe model with the two-fluid model\u27s parameters as inputs. The paper investigates the analogy in logic behind the two-fluid model and the catastrophe model using straightforward graphical illustrations. The paper then demonstrates the application of two-fluid model parameters to a stochastic catastrophe...
Recent studies have proposed using well-defined relationships between network productivity and accum...
Most existing freeway crash frequency models analyze overall frequency of crashes. Furthermore, rese...
The main objective of this thesis is to develop microscopic accident prediction models for estimati...
During the last few decades, the two-fluid model and its two parameters have been widely used in tra...
During the last few decades, the two-fluid model and its two parameters have been widely used in tra...
The investigation of crash severity with freeway traffic and weather data has recently received sign...
The investigation of crash frequency with freeway traffic and weather data has recently received sig...
The two-fluid model for vehicular traffic flow explains the traffic on arterials as a mix of stopped...
The two-fluid model for vehicular traffic flow explains the traffic on arterials as a mix of stopped...
© 2014 Hong Kong Society for Transportation Studies Limited. This paper presents a simulation-based ...
Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour....
An abrupt increase in urban road traffic flow caused by incidental congestion is considered. The res...
In this research, the safety impact of arterial signal coordination is investigated. Based on the fi...
The paper investigates the validity of promising surrogate measures by investigating the link betwee...
Although crash frequency and severity are convectional and most direct measures of road safety, cras...
Recent studies have proposed using well-defined relationships between network productivity and accum...
Most existing freeway crash frequency models analyze overall frequency of crashes. Furthermore, rese...
The main objective of this thesis is to develop microscopic accident prediction models for estimati...
During the last few decades, the two-fluid model and its two parameters have been widely used in tra...
During the last few decades, the two-fluid model and its two parameters have been widely used in tra...
The investigation of crash severity with freeway traffic and weather data has recently received sign...
The investigation of crash frequency with freeway traffic and weather data has recently received sig...
The two-fluid model for vehicular traffic flow explains the traffic on arterials as a mix of stopped...
The two-fluid model for vehicular traffic flow explains the traffic on arterials as a mix of stopped...
© 2014 Hong Kong Society for Transportation Studies Limited. This paper presents a simulation-based ...
Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour....
An abrupt increase in urban road traffic flow caused by incidental congestion is considered. The res...
In this research, the safety impact of arterial signal coordination is investigated. Based on the fi...
The paper investigates the validity of promising surrogate measures by investigating the link betwee...
Although crash frequency and severity are convectional and most direct measures of road safety, cras...
Recent studies have proposed using well-defined relationships between network productivity and accum...
Most existing freeway crash frequency models analyze overall frequency of crashes. Furthermore, rese...
The main objective of this thesis is to develop microscopic accident prediction models for estimati...