In this study, a finite-time consensus tracking problem is investigated for group of autonomous underwater vehicles (AUVs) with heterogeneous uncertain dynamics. We firstly propose two-layer distributed control strategy, which consists an upper-layer observer and lower-layer controller, without using any global information. Based on Hölder’s inequality the theory stability, developed each follo...

This paper addresses the control problem of heterogeneous uncertain nonlinear autonomous vehicle platoons in presence adversarial threats arising Vehicular Ad-hoc NETworks (VANET) during information sharing process. As unpredictable faults and/or malicious attacks may affect trustworthiness messages shared among vehicles, a suitable resilient law, able to enhance robustness platoon formation, i...

Of 149 large cities surveyed, 72 were found to have nighttime curfew ordinances applying to teenagers of various ages. The typical city curfew identified starts at midnight, ends at 5 A.M., and affects all activity of teenagers ages 13-17 in a public place and unaccompanied by a parent. In comparisons of 47 cities with curfews covering 13- to 17-year-olds and 77 cities without curfews, curfews ...

This paper analyzes the effects of daylight and daylight saving time (DST) on pedestrian and motor vehicle occupant fatalities in the United States. Multivariate analyses of county level data from the Fatality Analysis Reporting System for 2-week periods in 1998 and 1999 are used. Results show that full year daylight saving time would reduce pedestrian fatalities by 171 per year, or by 13% of a...

Traditionally, transportation safety analysts have used the empirical Bayes (EB) method to improve the estimate of the long-term mean of individual sites; to correct for the regression-to-the-mean (RTM) bias in before-after studies; and to identify hotspots or high risk locations. The EB method combines two different sources of information: (1) the expected number of crashes estimated via crash...

This research present a set-partitioning heuristic to generate populations in a hybrid genetic algorithm (hGA) which is able to solve four different variants of the vehicle routing problem: the multi-depot vehicle routing problem (MDVRP), the heterogeneous fleet and mix decisions (type, size and number of vehicle) (HFMVRP), site dependent vehicle routing problem (SDVRP) and the asymmetric vehic...

As the number of electric vehicles (EVs) grows, their electricity demands may have significant detrimental impacts on electric power grid when not scheduled properly. In this paper, we model an EV charging system as a cyber-physical system, and design a decentralised online EV charging scheduling algorithm for large populations of EVs, where the EVs can be highly heterogeneous and may join the ...

A new planning method for optimal cooperative control of heterogeneous multi-vehicle systems is investigated which enables to account for each vehicle’s nonlinear physical motion dynamics in a structured environment as well as for connectivity constraints of wireless communication. A general formulation as nonlinear hybrid optimal control problem (HOCP) is presented. A transformation technique ...

By taking advantage of the ever growing deployment of wireless networks, the automotive industry is increasingly enabling vehicles to communicate with one another and with the infrastructure, with benefits to information delivery and safety on the road. Vertical Handovers can be used to ensure that the Quality of Service demanded by applications (e.g., throughput, latency) is met while the vehi...