Author Archives: Meng Lu

  • 0

Helmond pilot

The pilot site in Helmond offers a state of the art infrastructure with all major intersections equipped with cooperative roadside units. Furthermore, the adaptive control algorithm ImFlow traffic control provides the opportunity to implement many different policies. 
Hyundai vehicle facts:
· Based on a series production Hyundai Ioniq (Hybrid)
· Front Sensing: Mono-Camera, Long-Range-Radar, LiDAR
· Side Sensing: 360° Radar (Short-Range-Radar System), Ultrasonic Sensors
· Trunk installed CarPCs used for sensor data fusion, path-planning, vehicle control and V2X


  • 0

Braunschweig pilot

This pilot site offers the latest with respect to infrastructure detection as part of the Application Platform for Intelligent Mobility (AIM) test site. Stereo video detection combined with radar and hemispherical dome camera’s enable the infrastructure to enhance the safety of automated driving.

The demo site Tostmannplatz in Braunschweig has four approaches which are controlled by traffic lights. There are two lanes per direction on the main road and additional lanes for left-turning. The so far applied signal control uses a number of induction loops for vehicle-actuated green time adjustment, based on time gaps. A bus line passes through the intersection without preemption.

Since the existing induction loops did not cover all requirements in other recent research projects, additional detectors were applied. Magnetic field sensors were used for installation in the roadway surface. They have the advantage that a cabling over long distances could be avoided, because their information transmission to the signal controller is wireless. In some approaching lanes additional sensors were installed in order to better handle effects such as e.g. cutting the curve when turning.

In addition to the magnetic field sensors, the demo site is equipped with a roadside unit (RSU). The RSU contains a V2X unit, which enables direct communication with equipped vehicles. Since the Tostmannplatz is an intersection within the AIM network (Application Platform Intelligent Mobility), the RSU is basic technical equipment.

Furthermore, the demo site is equipped with an additional mini PC. On this PC the traffic simulation SUMO is used to transform the point-based vehicle detections from the in-road sensors into continuous measurements of vehicle positions and speeds by modelling the state of traffic around the intersection. This is applied to compensate for the insufficient V2X equipment rates. The mini PC is connected with the signal controller and can be used to adapt the traffic signal timing.

The demo site Tostmannplatz in Braunschweig will be used for most of the MAVEN use cases, including urban platooning, cooperative sensing and speed and lane change advisory.


  • 0

Prague and Greenwich simulations

Simulations are essential for impact assessment of scaling up the MAVEN solutions. Therefore, in addition to simulations of the pilot sites, there are dedicated simulation networks of Prague and Greenwich, a borough in London. Each network has their own specific challenge and thus provides a good environment to evaluate MAVEN use cases such as platoon orchestration (e.g. initialisation, lane change and termination), Green Light Optimal Speed Advisory (GLOSA), enhanced queue modelling and green wave with platoon priority.


  • 0

Automation capable Local Dynamic Map (LDM) released

The MAVEN project has achieved its first milestone in development of the next generation Intelligent Transport Systems. Automation features have been added to the infrastructure Local Dynamic Map (LDM). This will facilitate more information sharing between the roadside and vehicles, enabling new use cases related to traffic safety and efficiency. The vehicles will share intended turn direction, automation sensor data and their platooning and speed preferences. The infrastructure will use this information to optimize traffic control plans further and send enhanced Green Light Optimal Speed Advice. For safety use cases the sensor sharing increases the possibilities to give early warnings and lowers the chance of missing critical situations.


  • 0

MAVEN Special Session at IEEE SCSP 2017 in Prague, Czech Republic

A MAVEN Special Session on “Autonomous vehicles for smart cities” was held on 26 May 2017 at the third IEEE (the Institute of Electrical and Electronics Engineers) Smart Cities Symposium Prague (SCSP 2017), organised by the Czech Technical University (CTU). SCSP 2017 is an international scientific conference with over 150 participants from 13 countries. The symposium received auspices from the President of the Czech Republic, Mr. Miloš Zeman and the City of Prague. The director of the City of Prague JUDr. Martina Deverová along with the CTU rector Prof. Petr Konvalinka opened the symposium. The main objectives of the MAVEN Special Session are:
– Introduction of the EU-funded project MAVEN
– Addressing some technical issues in the field of connected, cooperative and auto-mated transport, as well as non-technical aspect of automated driving
– Discussions of expected impacts of connected, cooperative and automated transport, e.g. potential impacts, evaluation and assessment approaches, next steps, main trends
The MAVEN Special Session was highly appreciated by the participants of SCSP 2017, and received very positive feedback.

All the presentations are available below.

 


  • 0

First stakeholder consultation with cities in Barcelona

MAVEN (Managing Automated Vehicles Enhances Network) organised its first stakeholder consultation meeting with local authorities and urban road stakeholders in Barcelona on 15 November 2016.

The meeting was attended by nearly 35 participants, of which some two-thirds were representing local government. Local authorities and other urban road stakeholders were invited to share their views on the role and impact of increasingly automated vehicles on urban roads and traffic management.

The aim of this first MAVEN stakeholder consultation workshop was to discuss and review the preliminary MAVEN system concept, use case descriptions, and assessment and demonstration plan. The workshop addressed the role and responsibilities of cities and traffic management in the context of highly automated driving, including political, institutional and organisational aspects as well as the broader perspective of passenger transport in smart/future cities.

The meeting was opened by Suzanne Hoadley from Polis who gave a brief introduction on Polis position on automation enumerating a number of open questions which were also tackled during the workshop.

Jaap Vreeswijk from MAPtm described the most recent developments in automated driving, followed by an introduction to MAVEN by the project coordinator Robbin Blokpoel, Dynniq.

Two speakers Phil Williams, Digital Greenwich, and Gert Blom, city of Helmond, shared with the audience their views about automation from a city authority perspective.

Ondrej Priby from Czech Technical University, introduced MAVEN use cases & high level requirements. His presentation was followed by a discussion with all participants and project partners.

The workshop offered several opportunities for interactive discussion on views, ideas and concerns of automated driving in relation to four main aspects: the societal objectives of a city authority; the traffic manager’s role and responsibilities; impact assessment; and the transition phase. Feedback was gathered through an online real-time voting tool which proved effective to engage the audience and trigger discussion.

To view the workshop note, click here.

The agenda is available here, all the presentations are available below.

 

 

 


  • -

MAVEN Kick-off meeting in Brussels

The MAVEN project held its kick-off meeting on 20-21 September 2016 in Brussels.

MAVEN (Managing Automated Vehicles Enhances Network) was launched on 01-09-2016. This 3-year project, under the Horizon 2020 Research and Innovation Framework Programme of the Euro-pean Commission (Grant Agreement No. 690727), has nine partners with a total budget of EUR 3,149,661.25.

maven-fig

The project aims to provide solutions for managing automated vehicles in an urban environment (with signalized intersections and mixed traffic). It will develop algorithms for organising the flow of infrastructure-assisted automated vehicles, and structuring the negotiation processes between ve-hicles and the infrastructure. Platooning is an evident example of a technology in this domain. The MAVEN approach will substantially contribute to increasing traffic efficiency, improving utilisation of infrastructure capacity, and reducing emission. The MAVEN project will build a prototype sys-tem that will be used both for field tests and for extensive modelling for impact assessment. Fur-thermore, the project will contribute to the development of enabling technologies, such as telecom-munication standards and high-precision maps.

The project will include a user assessment effort. A roadmap for the introduction of road transport automation will be developed, to support road authorities in understanding potential future changes in their role and in the tasks of traffic management. A white paper on “management of automated vehicles in a smart city environment” will position the MAVEN results in the broader perspective of transport in smart cities, and embed these with the principles and technologies for smart cities, as well as service delivery. The project held its kick-off meeting on 20-21 September 2016 at Polis in Brussels and hosts a stakeholder consultation workshop at the 15th of November in Barcelona. More information about the workshop and the registration form can be found here.

 


Search

X