To realize the grand vision of automated driving in smart vehicle cyber-physical systems (CPS), one important task is to support merging connected vehicles (CAVs) from a metered-ramp highway. Certain safety rules must be guaranteed. However, this demand complicated by inherently unreliable wireless communications. In paper, we focus on well adopted constant-time-headway (CTH) rule. We propose h...

In August of 1997, The US National Automated Highway System Consortium (NAHSC) presented a proof of technical feasibility demonstration of automated driving. The 97 Demo took place on car-pool lanes on I15 in San Diego, California. Members of the Consortium demonstrated many different functions, including: Vision-based road following Lane departure warning Magnetic nail following Radar reflecti...

We propose pro-social control strategies for connected automated vehicles (CAVs) to mitigate jamming waves in mixed-autonomy multi-lane traffic, resulting from car-following dynamics of human-driven (HDVs). Different existing studies, which focus mostly on ego vehicle objectives CAVs an individualistic manner, we devise a algorithm. The latter takes into account the (i.e., driving comfort and t...

This paper considers a lane routing problem in an Automated Highway System (AHS). Lane routing is important because the problem of managing the traac ow on a multilane AHS plays a major role in an urban environment. On the other hand, because analytical approaches are impossible for various, almost unpredictable traac situations, traac simulations are indispensible for the design and the evalua...

Connected and automated vehicles (CAVs) are expected to transform future transportation systems. Over time, these might enhance traffic efficiency safety, especially at urban intersections. Therefore, it is essential make adaptations the analysis models that currently designed for human-driven only. This paper aims assess impact of CAVs on entry capacity roundabouts develop an approach adjust v...

ALVINN (Autonomous Land Vehicle in a Neural Net) is a Backpropagation trained neural network which is capable of autonomously steering a vehicle in road and highway environments. Although ALVINN is fairly robust, one of the problems with it has been the time it takes to train. As the vehicle is capable of on-line learning, the driver has to drive the car for about 2 minutes before the network i...

Computerized systems are becoming smaller, ubiquitous and more interconnected. Netbooks to smart highways all are expected to be more autonomous and connected to each-other. Such interconnected systems have to manage information and regulate actions on their own, with minimal external guidance. A sensor network is a typical example. With scarce resources and no ready infrastructure, it forms a ...

Landslides often cause economic losses, property damage, and loss of lives. Monitoring landslides using high spatial and temporal resolution imagery and the ability to quickly identify landslide regions are the basis for emergency disaster management. This study presents a comprehensive system that uses unmanned aerial vehicles (UAVs) and Semi-Global dense Matching (SGM) techniques to identify ...

In this paper we analyze in detail the energy consumption characteristics of the Wireless HART protocol when operated with a popular transceiver, the ChipCon CC2420. We analyze how much various factors contribute to the overall energy consumption over a longer period of 12 h. These factors include the amount of management traffic and the power levels required for various transceiver activities ...