This paper proposes a rule-based car-following model to simulate the driver decision process and model the associated vehicle longitudinal action in the car-following regime. In order to analyze individual driver characteristics and extract driving behavior rules, a fuzzy rule based neural network is constructed with the objective of presenting driver action rules under the associated traffic s...

Traffic simulation is an often used tool in the study of traffic systems. A traffic simulation model consists of several sub-models; each handles one specific task in the simulation. These sub-models include, among others, car-following. This model controls the interactions with the preceding vehicle in the same lane. This paper compares and describes the car-following models used in the four t...

This research is focused on driver behavior in traffic, especially during car-following situations and safety critical events. Driving behavior is considered as a human decision process in this research which provides opportunities for an artificial driver agent simulator to learn according to naturalistic driving data. This thesis presents two mechine learning methodologies that can be applied...

Car-following behavior models based on conventional mathematical cannot adequately reproduce traffic phenomena, such as breakdown, capacity drop, and oscillations, require parameter setting. Therefore, this study aims to construct a highly accurate car-following model using deep learning. We evaluated the influence of variables in dataset random forest. Furthermore, we constructed predict accel...

1 The traffic flow heterogeneity caused by the different car-following dynamics among the different types 2 of vehicles has drawn increasing attention recently. This paper explores the characteristics of the four 3 types of car-truck car-following combinations, car-following-car (CC), car-following-truck (CT), truck4 following-car (TC) and truck-following-truck (TT), and their impacts on traffi...

The emphasis of this study lies in behavior change after using car apps that assist users in using their vehicles and establishing a process for examining the interrelationship between car app’s persuasive characteristics and behavior change. A categorizing method was developed and 697 car apps were investigated and classified into eight categories. Meanwhile, an evaluation guideline was develo...

Car body lightening and crashworthiness are two important objectives of car design. Due to their excellent performance, composite materials are extensively used in the car industries. In addition, reducing the weight of vehicle is effective in decreasing the fuel consumption. Hat shape energy absorber is used in car’s doors for side impact protection. The aim of these numerical models and expe...

Car following models describe driver behavior in a traffic stream and therefore form a key component of all microscopic traffic simulation models. A large number of following models have been proposed and are described in the literature, however, many of these models are based on unrealistic assumptions of drivers' abilities and/or the models make use of relationships that do not correspond to ...