This paper deals with two modeling approaches to car driving. The first one is a system theoretic approach to describe adaptive human driving behavior. The second approach utilizes neural networks. As an illustrative example the overtaking task is considered and modeled in system theoretic terms. Model results are used to teach a neural network. The results show that a neural network is able to...

We compare the behavior of car mechanics and college students as sellers in experimental credence goods markets. Finding largely similar behavior, we note much more overtreatment by car mechanics, probably due to decision heuristics they learned in their professional training. JEL classifications: C91, D82, C72

The automobile industry today is the most lucrative industry. Due to increase in disposable income in both rural and urban sector and availability of easy finance are the main drivers of high volume car segments. Further competition is heating up with host of new players coming in and global brands like Porsche, Bentley, and Ferrari all set to venture in Indian market. This research will be hel...

We compare the behavior of car mechanics and college students as sellers in experimental credence goods markets. Finding largely similar behavior, we note much more overtreatment by car mechanics, probably due to decision heuristics they learned in their professional training. JEL classifications: C91, D82, C72

Highway merging points are critical elements due to the interactions between vehicles and following on outermost lane of highway stream. Such could have significant implications for safety capacity at ramp locations. The aim this study was investigate spacing adjustment behavior by interacting drivers In regard, we relied NGSIM trajectory dataset impacts speed difference a space headway, consid...

This paper presents a path-following controller of a bi-steerable cybernetic car with magnetic markers guidance and a laser based anti-collision behavior. The velocity planner, the vehicle’s pose estimator and the multi-target detection and tracking system are fundamental modules of the navigation control architecture. The paper is focused on the path following controller, which is implemented ...

In this study, a car-following model is put forth to explain the behavior of HDVs (human-driven vehicles), AVs (autonomous vehicles) and CAVs (connected automated in mixed traffic. Based on IDM (intelligent-driver model) molecular dynamic theory, includes velocity surrounding vehicles along with difference headway between each pair vehicles. The drivers’ sensitivity deceleration nearest front v...

The study of human behavior during driving is of primary importance for the improvement of drivers' security. This study is complex because of numerous situations in which the driver may be involved. In this paper, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver’s behavior is affected by the environment. ...

Car use for commuting contributes to various environmental and traffic problems, such as pollution and congestion. Policies aimed at reducing commuter car use will be more effective when they target important determinants of car use and willingness to reduce it. This study examined whether variables reflecting self-interest (from the theory of planned behavior [Ajzen, I. (1985). From intentions...