Met de toenemende drukte in de stad neemt ook het autogebruik toe. Deze toename zorgt voor extra druk op de veiligheid en gezondheid voor mens en natuur. Om de negatieve impact van verkeer te mitigeren kan gekeken worden naar strengere eisen aan hinder en uitstoot. Met Smooth Traffic Management (STM) wordt gewerkt aan het verminderen van de negatieve verkeerseffecten rond ‘gevoelige locaties’ door bestuurders middels een navigatiesysteem een alternatieve, omgevingsbewuste route aan te bieden.
The Amsterdam Sensor Lab is part of the Amsterdam University of Applied Sciences (AUAS) and its goal is to develop application specific sensor systems for applied research. In order to (anonymously) measure, for instance, traffic without influencing people’s behaviour, a pressure sensing sub-tile is under development. It can be placed under a regular (0.3*0.3 m) tile in the pavement and, hence, cannot be seen by the public. Applications may range from evaluating the behaviour of pedestrians in crowds or on large open areas, to measuring the mechanical stress on bridges due to lorry traffic. The resulting data may be valuable to social scientists and municipal decision makers.A preliminary demonstration model has been realized that can detect: weight (pressure), direction, and a speed estimate of pedestrians and cyclists, by measuring the direction and velocity of pressure changes. Data communication is wireless, e.g., via Bluetooth™, to a Raspberry Pi™ or computer for calibration and visualization of the data. The demonstration model has been working satisfactorily for about half a year in the corridors of the AUAS.Pressure changes are measured with strain gauges using low-noise analogue instrumentation amplifiers and digitized with a 16 bit effective resolution. Current consumption is about 50 mA, the minimal detectable pressure is ca. 10 N and the maximal pressure ca. 1500 N. The data is refreshed every 2 ms.New electronics for a second version of the sub-tile (under development) make it possible to detect the tiny signal of a 0.3 gram rubber object falling from a 10 cm height. Investigations and development are going on to increase the measurement range from this low-level (impulse) pressure up to a pressure of about 500 kN, and configuring multiple sub-tiles to a wireless sensor network, thus paving the way to a (smart) sensing pavement. Apart from that, possibilities to give an estimate of the kind of traffic using artificial intelligence will be investigated.
1. Purpose of the ResearchThe research aims at developing a concept of operations (ConOps) that could connect aviation and all existing and future transport modes into an overall efficient transport network. Such ConOps should provide future passengers with a rapid and seamless travel experience.2. Research design, Methodology or ApproachThis paper describes a ConOps based on an ATM (Air Traffic Management) for a holistic traffic management system. For this purpose, the influences of quality management systems and other organizational facilities on the quality of passenger travel were examined. Various management systems like resources, traffic information, energy, fleet emergency calls, security and infrastructure, and applications such as weather information platforms and tracking systems have been integrated.3. Expected research findingsThe ConOps is intended to pave the way to cross-modal traffic management, in which the preferences of the travellers have a high priority. The first results show that the needs of the passengers can only be met in advance, and the traffic resources can only be used economically through close cooperation and coordination of these management systems and applications with regard to possible synergies and interactions.4. Summary of the originality/contributionTo develop these ConOps, general and traffic management systems next to basic principles of quality management were researched in the literature, which could be summarized in a Total Traffic Management System (TTM). The ATM experience served as a model example. The ConOps can be used as a basis to build a previously non-existing TTM that can be used to manage the future of travelling and future transport modes.
MULTIFILE
National forestry Commission (SBB) and National Park De Biesbosch. Subcontractor through NRITNational parks with large flows of visitors have to manage these flows carefully. Methods of data collection and analysis can be of help to support decision making. The case of the Biesbosch National Park is used to find innovative ways to figure flows of yachts, being the most important component of water traffic, and to create a model that allows the estimation of changes in yachting patterns resulting from policy measures. Recent policies oriented at building additional waterways, nature development areas and recreational concentrations in the park to manage the demands of recreation and nature conservation offer a good opportunity to apply this model. With a geographical information system (GIS), data obtained from aerial photographs and satellite images can be analyzed. The method of space syntax is used to determine and visualize characteristics of the network of leisure routes in the park and to evaluate impacts resulting from expected changes in the network that accompany the restructuring of waterways.
In the last decade, the automotive industry has seen significant advancements in technology (Advanced Driver Assistance Systems (ADAS) and autonomous vehicles) that presents the opportunity to improve traffic safety, efficiency, and comfort. However, the lack of drivers’ knowledge (such as risks, benefits, capabilities, limitations, and components) and confusion (i.e., multiple systems that have similar but not identical functions with different names) concerning the vehicle technology still prevails and thus, limiting the safety potential. The usual sources (such as the owner’s manual, instructions from a sales representative, online forums, and post-purchase training) do not provide adequate and sustainable knowledge to drivers concerning ADAS. Additionally, existing driving training and examinations focus mainly on unassisted driving and are practically unchanged for 30 years. Therefore, where and how drivers should obtain the necessary skills and knowledge for safely and effectively using ADAS? The proposed KIEM project AMIGO aims to create a training framework for learner drivers by combining classroom, online/virtual, and on-the-road training modules for imparting adequate knowledge and skills (such as risk assessment, handling in safety-critical and take-over transitions, and self-evaluation). AMIGO will also develop an assessment procedure to evaluate the impact of ADAS training on drivers’ skills and knowledge by defining key performance indicators (KPIs) using in-vehicle data, eye-tracking data, and subjective measures. For practical reasons, AMIGO will focus on either lane-keeping assistance (LKA) or adaptive cruise control (ACC) for framework development and testing, depending on the system availability. The insights obtained from this project will serve as a foundation for a subsequent research project, which will expand the AMIGO framework to other ADAS systems (e.g., mandatory ADAS systems in new cars from 2020 onwards) and specific driver target groups, such as the elderly and novice.
In 2021, Citython editions were held for the European cities of Eindhoven (Netherlands), Bilbao and Barcelona (Spain), Hamburg (Germany), and Lublin (Poland). Within this project, BUAS contributed to the organization of CITYTHON Eindhoven in cooperation with CARNET (an initiative by CIT UPC) and City of Eindhoven – an event which gives young talent the opportunity to work with mentors and experts for the development of innovative urban solutions. Participants of CITYTHON Eindhoven worked on three challenges:- Traffic safety in school zones - Travel to the campus- Make the city healthy The event took place between 18 May and 2 June 2021 with various experts, for example from ASML, City of Eindhoven and University of Amsterdam, giving inspirational talks and mentoring students throughout the ideation and solutions development process. The teams presented their solutions during the Dutch Technology Week and the winners were announced by Monique List-de Roos (Alderman Mobility and Transport, City of Eindhoven) on 2 June 2021. The role of BUAS within this project was to assist City of Eindhoven with the development of the challenges to be tackled by the participating teams, and find relevant speakers and mentors who would be supporting the students for the development of their solutions and jury members who would determine the winning teams. The project ended with a round table “Green and Safe Mobility for all: 5 Smart City(thon) Case studies” on November 17 organized as part of Smart City Expo World Congress 2021 in Barcelona. This project is funded by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union. EIT Urban Mobility acts to accelerate positive change on mobility to make urban spaces more livable. Learn more: eiturbanmobility.eu.Collaborating partnersCARNET (Lead organisation); Barcelona Institute of Technology for Habitat; Barcelona City Council; Bilbao City Hall; City of Hamburg; City of Eindhoven,; City of Lublin; Digital Hub Logistics Hamburg; Technical University of Catalonia, Tecnalia; UPC Technology Center.
