Driver Destination Models

Driver Behavior Analysis and Prediction Models: A Survey

In today's life, every human is in hurry to reach their destination like home, office, college, shopping mall, restaurant, etc as quickly as possible. To reach their destination quickly people use vehicles on road use and drive them in faster mode which results in road accidents. Driver behavior is a major cause for the road accidents. To address this problem, drive behavior analysis and predic...

Using the Reaction Delay as the Driver Effects in the Development of Car-Following Models

Car-following models, as the most popular microscopic traffic flow modeling, is increasingly being used by transportation experts to evaluate new Intelligent Transportation System (ITS) applications. A number of factors including individual differences of age, gender, and risk-taking behavior, have been found to influence car-following behavior. This paper presents a novel idea to calculate ...

Tourism Education and Training Models Getting to the Core of Destination Planning and Managemet

Considering driver behaviour in vehicular delay tolerant networks

A key component for vehicular ad-hoc networks (VANET) simulations is a realistic vehicular mobility model, as this ensures that the conclusions drawn from simulation experiments will carry through to the real deployments. Node mobility in a vehicular network is strongly affected by the driving behaviour such as route choices. While route choice models have been extensively studied in the transp...

Real Time Destination Prediction Based On Efficient Routes

This paper presents a novel method for predicting the location of a driver’s destination during the drive. Such a prediction can be used to help decide which information to automatically present to the driver, depending on where the driver is going. The prediction is based on the common intuition that drivers tend to chose efficient routes. We quantify this preference for efficiency probabilist...

Lane Change Trajectory Model Considering the Driver Effects Based on MANFIS

The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...