Research on vehicle longitudinal control with a stop and go system is presently one of the most important topics in the field of intelligent transportation systems. The purpose of stop and go systems is to assist drivers for repeatedly accelerate and stop their vehicles in traffic jams. This system can improve the driving comfort, safety and reduce the danger of collisions and fuel consumption....

one component of intelligent transportation systems, IV systems use sensing and intelligent algorithms to understand the vehicle’s immediate environment, either assisting the driver or fully controlling the vehicle. Following the success of information-oriented systems, IV systems will likely be the “next wave” for ITS, functioning at the control layer to enable the driver–vehicle “subsystem” t...

BACKGROUND Accurate quantification of PET studies depends on the spatial resolution of the PET data. The commonly limited PET resolution results in partial volume effects (PVE). Iterative deconvolution methods (IDM) have been proposed as a means to correct for PVE. IDM improves spatial resolution of PET studies without the need for structural information (e.g. MR scans). On the other hand, deco...

VANETs are composed of a number of vehicles moving on city roads, able to interconnect with one another without a fixed infrastructure. Improvisation of a new vehicular communication system should entitle a node to travel safely with high speed mobility while maintaining seamless interconnectivity. To evaluate the impact of mobility models such as FTM, IDM, IDM-IM and IDM-LC on VANETs routing p...

Identity management (IdM) is the complex and constantly evolving practice of identifying individuals and controlling their access to a network and connected resources. IdM research focuses primarily on making systems secure while the quality of the user experience is largely ignored. This article explores reasons why creating a user-centric IdM paradigm has become necessary, discusses existing ...

The emergence of distributed ledger technology (DLT) based upon a blockchain data structure, has given rise to new approaches to identity management that aim to upend dominant approaches to providing and consuming digital identities. These new approaches to identity management (IdM) propose to enhance decentralisation, transparency and user control in transactions that involve identity informat...

Car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. Until now, several carfollowingmodels have been proposed. An obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. In th...

Please cite this article in press as: C. Tran et a (2011), doi:10.1016/j.cviu.2011.09.008 Understanding driver behavior is an essential component in human-centric Intelligent Driver Assistance Systems. Specifically, driver foot behavior is an important factor in controlling the vehicle, though there have been very few research studies on analyzing foot behavior. While embedded pedal sensors may...

Although sophisticated identity management (IdM) technologies have been developed for quite a while, they are not as broadly used as could be expected – in the corporate but especially in an end-user context. Some authors have argued that the reason for this lack of diffusion is not to be found in technological or privacy shortcomings. Rather, it is attributed to the disregard of an economic pe...