2 1094-7167/02/$17.00 © 2002 IEEE IEEE INTELLIGENT SYSTEMS a human-piloted lead car and one autonomous following car. The lead car sends commands and information to the following car. Using this information, the following car can either mimic the lead car’s behavior (for example, steer in the same direction) or react to information (for example, activate its brakes if the lead car is going to s...

BACKGROUND It is vital to reduce the proportion of sedentary behavior in children. Understanding the duration and behavioral context is needed. The present study examined school-grade and sex differences in domain-specific sedentary times and concurrence with screen-time guidelines among Japanese elementary school children. METHODS A total of 625 children (330 boys) were surveyed in 2010 and ...

A number of different types of car-following models have been developed and continuously refined up to the present time, with various different approaches of describing a relationship between the leader and the following vehicles. However, current car-following models are “memoryless” in the sense that the current state (which consists of instantaneous relative spacings and time-derivatives the...

The present study examined the impact of social factors on consumer behavior in selecting traits of the purchased car in Tabriz (Iran). A one sample T-test was used to test the hypotheses of this study. In line with complementary findings of research using error bar diagram, the first component of the social factors affecting the consumer behavior was tested. In selecting car traits, based on e...

Learning driving behavior is fundamental for autonomous vehicles to “understand” traffic situations. This paper proposes a novel method for learning a behavioral model of carfollowing using automata learning algorithms. The model is interpretable for car-following behavior analysis. Frequent common state sequences are extracted from the model and clustered as driving patterns. The Next Generati...