Incremental Adaptation for Conceptual Design in EADOCS

EADOCS (Expert Assisted Design of Composite Structures) is the implementation of a multi-level approach to conceptual design. Constraint-, case- and rule-based reasoning techniques are applied in different design phases to assemble and adapt designs at increasing levels of detail. This paper describes a strategic approach to decomposition, formulation of target design problems, and incremental retrieval and adaptation. Design problems considered, cannot be decomposed dynamically into tractable subproblems. Design cases are retrieved for requirements and preferences on both functionality and the solution. Cases are adapted in three phases: adaptation, modification and optimisation

Results of cooperative driving applications of the SPITS project

In this paper, the design and results of two cooperative driving applications are presented that both increase traffic flow on highways by reducing shockwave traffic jams and decrease the risk of head-on collisions. The first application is an advisory system based on vehicle-vehicle communication that showed positive results with a penetration level of 100% of equipped vehicles. The second application is both an advisory and automated system based on infrastructure-vehicle communication that showed positive results with a penetration level of 10%-30%

Effects of cooperative adaptive cruise control on traffic flow stability

The effects of Cooperative Adaptive Cruise Control (CACC) on traffic flow is an important issue as traffic flow stability, capacity and safety are concerned. In contrast to most research we focus on traffic flow stability. We use the Intelligent Driver Model and CACC algorithms to assess the effects. A recently field-tested and CACC-based advisory system is also evaluated as an intermediate solution. It is found that CACC can quickly damp shockwaves at lower penetration rates (50%) and that shockwaves move faster. ©2010 IEEE

A270 Demo Schokgolfdemping

In februari 2010 zijn een aantal grootschalige experimenten uitgevoerd op de A270 tussen Helmond en Eindhoven. Het doel van deze experimenten is om de potentie van coöperatieve systemen te demonstreren voor het dempen van schokgolven en daarmee de mobiliteit op de Nederlandse snelwegen te kunnen vergroten. De experimenten vinden plaats op een bestaande snelweg om te demonstreren dat dit soort systemen overal ingezet kunnen worden. Een cooperatief systeem is ontwikkeld dat een individueel advies geeft aan de bestuurder in welke mate hij moet versnellen of vertragen. Deze testlocatie is uitgevoerd met 20 videocamera’s om de verschillen te meten tussen de groep voertuigen met coöperatief systeem en een referentie groep. De resultaten van deze experimenten worden hier gepresenteerd en besproken

Results of cooperative driving applications of the SPITS project

In this paper, the design and results of two cooperative driving applications are presented that both increase traffic flow on highways by reducing shockwave traffic jams and decrease the risk of head-on collisions. The first application is an advisory system based on vehicle-vehicle communication that showed positive results with a penetration level of 100% of equipped vehicles. The second application is both an advisory and automated system based on infrastructure-vehicle communication that showed positive results with a penetration level of 10%-30%

Advisory and autonomous coopeerative driving systems

In this paper, the traffic efficiency of an advisory cooperative driving system, Advisory Acceleration Control is examined and compared to the efficiency of an autonomous cooperative driving system, Cooperative Adaptive Cruise Control. The algorithms and implementation thereof are explained. The results of both systems are presented and discussed

Cooperative competition for future mobility

In May 2011, the Grand Cooperative Driving Challenge (GCDC) was held, providing the possibility for teams to develop and compare their cooperative driving solutions in a competitive setting. The challenge was organized to further accelerate developments in the area of cooperative driving. Nine international teams challenged each other to handle both an urban and a highway scenario. These scenarios have been chosen such that the performance of the implementation of cooperative adaptive cruise control of each participant can be judged. Evaluation of the vehicle behavior has been performed by means of video-based roadside units, installed at the test site in The Netherlands, that is capable of tracking the individual vehicles, in addition to the information obtained through wireless communication. Judgment criteria include both macroscale criteria, such as platoon length and traffic light throughput, and individual criterion, like string stability. Most teams performed well, although clear differences in performance and reliability could be observed. The GCDC showed that it is possible to cooperatively drive with heterogeneous systems. It is envisioned to make the GCDC a regular event and to further extend the active role of roadside communication units, as well as include automated lateral vehicle control

The experimental setup of a large field operational test for cooperative driving vehicles at the A270

In this paper, a large field operational test (FOT) for cooperative driving systems, which take place on a public highway, is discussed. The experimental setup consist of a specific driver support system, which is closely related to cooperative adaptive cruise control (CACC) systems. Instead of autonomous vehicles, drivers are precisely advised how to accelerate or decelerate their vehicle. The location, A270 between Helmond and Eindhoven, is equipped with over 20 video cameras in order to monitor the performance of the equipped vehicles versus the non-equipped vehicles. The first results of this large-scale FOT are presented and discussed. ©2010 IEEE