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RISComparison of Neural and Conventional Approaches to Mode Choice Analysis
Publisher: American Society of Civil Engineers
Abstract: This paper describes a new approach to behavioral mode choice modeling using neurofuzzy models. The new approach combines the learning ability of artificial neural networks and the transparent nature of fuzzy logic. The ...
Comparison of Fuzzy and Neural Classifiers for Road Accidents Analysis
Publisher: American Society of Civil Engineers
Abstract: This paper investigates the classification of road accidents using neural networks and fuzzy classification techniques. Accident correctability by road improvements has been advocated as an important criterion in the ...
Using Accident Correctability to Identify Accident-Prone Locations
Publisher: American Society of Civil Engineers
Abstract: In traditional black-spot programs aimed at improving highway safety, locations are identified as accident prone based on the total number of accidents. This criteria provides no consideration of whether the accidents were ...
Automated Roundabout Safety Analysis: Diagnosis and Remedy of Safety Problems
Publisher: American Society of Civil Engineers
Evaluating Safety of Urban Arterial Roadways
Publisher: American Society of Civil Engineers
Abstract: This paper describes the development of accident prediction models for estimating the safety performance of urban arterial roadways in the Greater Vancouver Regional District, British Columbia, Canada. The traffic- and ...
Upstream Signalized Crossover Intersection: An Unconventional Intersection Scheme
Publisher: American Society of Civil Engineers
Abstract: The impact of left turns on operation is probably the most significant factor in the performance of conventional intersections. As a result engineers have looked to alternative measures for dealing with left turns at ...
Random-Parameter Bayesian Hierarchical Extreme Value Modeling Approach with Heterogeneity in Means and Variances for Traffic Conflict–Based Crash Estimation
Publisher: ASCE
Abstract: Using random parameters in combination with extreme value theory (EVT) models has been shown to capture unobserved heterogeneity and improve crash estimation based on traffic conflicts. However, in existing random-parameter ...
Modeling Motorcyclist–Pedestrian Near Misses: A Multiagent Adversarial Inverse Reinforcement Learning Approach
Publisher: ASCE
Abstract: Several studies have used surrogate safety measures obtained from microsimulation packages, such as VISSIM, for safety assessments. However, this approach has shortcomings: (1) microsimulation models are developed ...
Comparison of Adaptive Network Based Fuzzy Inference Systems and B-spline Neuro-Fuzzy Mode Choice Models
Publisher: American Society of Civil Engineers
Abstract: This paper investigates the use of neuro-fuzzy models for behavioral mode choice modeling. The concept of neuro-fuzzy models has emerged in recent years as researchers have tried to combine the transparent, linguistic ...
Classifying Road Users in Urban Scenes Using Movement Patterns
Publisher: American Society of Civil Engineers
Abstract: This paper describes an automated classification approach to road users. The main motivation behind road-user classification in the context of safety stems from the necessity to learn traffic scenarios and understand ...