Category: Mobility

LokaPro

Using IoT-sensors to track valuable (medical) assets as they move through the chain

Duration: 10/2020 – 10/2022 Funding: Joint R&D effort

Partners: Almende, Undagrid

LokaPro

LokaPro is a joint R&D effort between Almende and Undagrid, which builds upon the ACAI-platform project but applies it to a different use case, namely that of tracking costly medical assets such as oxygen pumps as they move through the medical chain (e.g. from a hospital to a patient’s home location).

In many cases, a medical asset is ‘leased’ from a supplier and frequently changes hands, either from patient to patient or from organization to organization. After all, if patients are discharged from the hospital they may nonetheless require certain assets such as wheelchairs or oxygen pumps, which they receive on loan. In practice, these assets are not always returned and are difficult for organizations to track, especially once the patient falls under another organization’s responsibility.

Contribution

Almende will extend the previously developed mobile SDK to be able to continuously scan for nearby assets, using the different sensor modalities provided by the smartphone (e.g. BLE, WiFi). In parallel, assets will be outfitted with beacons that create a fingerprint of nearby networks which allow the SDK to identify its proximity to a smart device. Once detected, a user of the mobile app can be informed to retrieve the asset.

Results

The project allows us to advance our knowledge about localization and to apply principles about improving information access and sharing independent of pre-existing organizations. This involves challenges when it comes to privacy and security, which will be tackled.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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SIMPLE

Self-organizing Intelligent Middleware Platform for manufacturing and Logistics Enterprise

Duration: 9/2010 – 5/2013  Funding: Artemis ASP4

SIMPLE

The objective of SIMPLE was to create a middleware platform that will bridge the gap between different Wireless Sensor Network (WSN) and Radio Frequency ID (RFID) hardware platforms, and different business IT systems. In logistics and manufacturing, an ever-increasing need exists for precise tracking and monitoring of the location and conditions of assets. This is one of the reasons why interest in WSN has taken flight over the past decade.

However, the great diversity in both RFID and WSN hardware and software platforms raises the issue of interoperability. As goods travel from one company to another, goods and containers are equipped with different RFID tags or WSN nodes many times. Also, tags and nodes may need to take upon different roles during their lifetime, being attached to a specific item one time, but to an entire container of items another time.

Thus, there is a serious need for a middleware platform that allows nodes and tags of every type to fulfil different roles during the process of asset tracking and monitoring. On the other hand, different companies make use of different IT systems to manage their workflow. Again there is a need for a middleware system that is not only capable of translating data gathered by RFID tags and WSNs to business events but is also capable of communicating with the many different IT systems. The resulting platform was able to communicate business events inferred from sensor data, but also to receive feedback on the performance of the network of nodes and tags.

Contribution

Almende was one of the smaller members of the SIMPLE project, but did have a prominent role. Almende was responsible for the self-organizing aspects of the to-be developed middleware. Self-organization is important when dealing with heterogeneity: when dealing with different (and yet to be developed) hardware platforms and business IT systems, the middleware has to be able to adapt.

Another aspect to which self-organization is important is sensor fusion and data aggregation. Typically, the business events that need to be generated are of such a nature that it requires the aggregation of data and the fusion of data of different modalities. For example, to detect whether a dangerous situation in a factory has emerged, one may need to combine readings from temperature, gas, and sound sensors. Finally, we developed a learning system that was capable of detecting anomalies in sensor data, and learning from user feedback, will be able to learn to aggregate data in a meaningful way.

Results

The project contributed to our expertise regarding middleware platforms that facilitate connecting to heterogeneous data sources and fusing the results to draw meaningful conclusions. After SIMPLE, we applied the same approach in different projects as well as in the market-oriented ASK-Fast and CommonSense platforms which were exploited by our spin-off companies.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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DELIVER

Distributed Coordination for Perpetual Planning

Duration: 1/2010 – 12/2013  Funding: Eureka

DELIVER

Current ICT systems used in the logistics industry make use of a priori planning: schedules are made days or even weeks in advance. Such systems are incapable of adapting to disturbances, changes or delays. Mobile services (repair, security), home delivery services and courier services are estimated to suffer a 20% inefficiency because of this. Not to mention the unhappy customers, who do not appreciate delays.

The DELIVER project intended to research, design and develop perpetual planning software for the logistics industry, which is capable of changing the plan when that is necessary. This requires a much stronger interaction with the “real world” than in a priori planning. The actual status of all entities and actors has to be monitored in order to identify disturbances and to facilitate coordination.

Naturally, incidents happen in every part of the process: drivers get sick, trucks break down, traffic jams occur, urgent tasks come up. From the perspective of an a priori planning system, these unavoidable events are all treated as “incidents that disturb the optimal solution” or “noise that must be filtered out”. In a continuous planning system, events would be really treated as events rather than “incidents” or “noise”, and truck drivers would never be “behind schedule” because the schedule itself evolves on-the-fly.

Contribution

Almende implemented and connected the algorithms to the planning system and tested them with historical data from Trigion. Moreover, the multi agent platform of subsidiary DEAL Services has been used to develop the continuous planning system. According to the final review of DELIVER, the excellent collaboration between the several partners will lead to new initiatives in the future.

Results

A continuous planning prototype has been realized, based on the logistic platform of Almende's subsidiary DEAL Services. It gives a permanent view of the transport movements and actual planning, by software agents. Also, algorithms have been classified, implemented and connected to the continuous planning system.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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SUPPORT

Supporting and strengthening logistical networks in and around the Port of Rotterdam

Duration: 1/2010 – 6/2014  Funding: Pieken in de Delta – Zuidvleugel

SUPPORT

The Port of Rotterdam is one of the busiest in the world, currently ranking number 1 in Europe and number 4 in the world; shipping almost 400 million metric tonnes of cargo per year. However, there is not a lot of physical space in the Rotterdam area to allow further growth. The port will thus have to seek other means of improving, to allow for economic expansion.

With SUPPORT, Almende proposed that the efficiency of the logistics network surrounding the port could be increased if different parties would communicate more and would coordinate their efforts better. The project aimed at developing an ICT solution for supporting and strengthening logistics networks. The Port of Rotterdam served as a real-life testing grounds.

Central to the project was the idea of treating the collection of logistics partners as a network, rather than a chain. If an event causes a disturbance – a container is delayed through customs, a truck driver falls ill – this should not be seen as a broken link that ruins the entire chain, but as a piece of information that can be communicated through the network, so other parties might respond to it.

The project aimed to deliver a system which could coordinate the logistic activities of multiple partners: the container terminal, truckers, etc. SUPPORT connected the parties and enabled communication between them to allow quick response to incidents.

Important was that each party would still be autonomous, and controlled its own activities. But by using available information – for instance, a trucker’s ETA – each party could continuously adapt its own schedule. The project partners took care to safeguard against sharing privacy-sensitive information – only data that were necessary to allow other parties to optimize their planning would be communicated.

Contribution

Almende participated in the development of the MAS platform. The company also contributed to the creation and use of algorithms to improve the communication between involved parties, for instance, the exchange of information about the prediction of arrival times of trucks and the improvement of container stacking.

Together with CWI and the TU Delft, Almende sees opportunities to deploy the technology, developed within SUPPORT, in the concept of Smart Cities. The European Union embraces this concept which includes sustainable transport.

Results

Together with academic partners TU Delft and the CWI, Almende has designed the intelligent multi-agent system (MAS) platform. Almende's subsidiary DEAL Services was responsible for the actual development, while the logistic partners provided input for the design and tested the system in practice.

Through the MAS-platform partners in the logistics chain could exchange information, allowing the trucking companies to reduce waiting times at the container terminals and allowing the terminals to improve their performance. Almende, DEAL Services and the participating transport companies are planning a future project to test the system at an actual container terminal.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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SIISASC

Scalable Interoperability in Information Systems for Agile Supply Chains

Duration: 1/2015 – 12/2019  Funding: NWO

SIISASC

Modern planning systems are often ill-equipped for multimodel and/or synchromodal planning of package flows in a logistics network. The research project SIISASC aims to develop technology for an open, federated system which allows logistics companies and their customer to share information and benefit from the situational awareness provided by IoT-enabled sensors. The system itself is able to assess various planning modalities in real-time to come up with optimal ad-hoc adjustments based on real-world deviations. In SIISASC, technology is built in three domains: 1. Data interoperability ensures that different planning systems are able to collaborate without requiring a significant amount of effort; 2. Multi-agent networks are used to create a flexible and scalable system by treating packages as autonomous agents that can determine their own routes; 3. Dynamic planning is concerned with planning in real-world settings, such as creating a hierarchical strategy where high-level plans are made first which can later be fine-tuned based on contextual factors.

Contribution

Almende will use the insights of the project for the further development of its DEAL platform, which is used to relay information in logistical systems and perform dynamic planning.

Results

The project aligns well with Almende’s vision on the logistics domain, specifically when it comes to the issue of ‘last mile’ planning and information flows in logistics networks. The project also presents a practical use case for the DEAL platform which is developed by Almende.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Complexity in logistics

Universality and resilience in logistics networks: a mean-field approach

Duration: 2/2017 – 1/2021 Funding: NWO

Partners: TU Delft, CWI, Logit-One

Complexity in logistics

For centuries, the Netherlands has been a major gateway to the rest of Europe thanks to its geographic location. Some 70 percent of 565 million tonnes of goods arriving annually in the Netherlands are sea transports, as are 35 percent of the goods leaving the Netherlands. Nearly 90 (95) million tonnes of the incoming goods enter (leave) the Netherlands by roads. The road is the dominant mode for domestic transport, equalling 80 percent of the total domestic transport. Complexity in Logistics is an NWO-project that deals with the rising complexity in logistics networks such as described above. In the near future the logistics network will experience a number of challenges imposed by the technological developments, such as autonomous travelling of containers and vehicles. Therefore the logistics network has to exhibit resilience, which the project consortium will investigate combining a universal one-dimensional mean-field description and choice behaviour modelling.

Contribution

Almende contributes its expertise in the field of multi-agent technology and network engineering, as well as collecting and providing experimental data to be used by the model. This provides the real-word validation of the mathematical models to be developed in the project.

Results

The insights about the behaviour and planning of logistics networks in complex situations are highly relevant to one of Almende’s spin-off ventures, DEAL, which is concerned with providing an agent-based platform for logistics. Furthermore, the project aligns strategically with Almende’s vision on logistics, specifically with regards to optimizing information flows to all participants in a logistics network.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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i-CAVE

Integrated Cooperative Automated Vehicles

Duration: 1/2017 – 12/2020  Funding: NWO – TTW

i-CAVE

In i-CAVE, a Cooperative Dual Mode Automated Transport (C-DMAT) system is researched and designed, consisting of dual-mode vehicles which can be driven automatically and manually to allow maximum flexibility. The program integrates technological roadmaps for automated and cooperative driving, accelerating the development of novel transportation systems addressing today’s and future mobility demands. Besides these enabling technologies, the focus is put on fault tolerance and fail-safety, wireless communications, human factors and others addressing transition of control between manual and automated driving and the response of other road users. i-CAVE tackles the main challenges of automated driving, i.e., achieving high levels of safety and reliability through rigorous technological design, combined with seamless integration between automated and manual driving to obtain maximum flexibility and user acceptance. A living-lab will be used for the integration and evaluation of accurate vision-based mapping and localization techniques, distributed cooperative vehicle control algorithms and fleet management methods. In addition, it allows for a close-to-market transport system, which can be commercialized by the transport industry, specifically leading automotive tiers in the Netherlands, by applying the results in their roadmaps.

Contribution

Almende mainly contributes to the sub-project of dynamic fleet management, which is concerned with developing methods that take into account the uncertainty in demands and dynamic situations. Almende utilizes and extends its DEAL platform to facilitate information flows between agents in the system (drivers and end-users) and enable continuous planning.

Results

The project provides a practical use case for the DEAL platform, which encompasses Almende’s vision on eliminating planning and optimizing information flows in the logistics sector. By applying this logic to (partly) autonomous vehicles, new insights can be gained on the application of DEAL to future logistics networks.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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IAVTRM

From Individual Automated Vehicles to Cooperative Traffic Management

Duration: 1/2016 – 12/2019  Funding: NWO – TTW

IAVTRM

Automated driving has great potential to improve road safety, traffic flow efficiency and fuel economy and automation technology have been successfully demonstrated on public roads. However, before automation can be introduced in consumer cars, benefits and risks shall be evaluated in complex real-world driving conditions with real human ‘drivers’ interacting with other road users. The IAVTRM project’s aim is to investigate highly automated driving with 1) individual automated vehicles, 2) cooperative platoons, and 3) cooperative traffic management through infrastructure communication. Algorithms and software for automated driving will be developed that are compliant with the safety and comfort requirements and can be verified by formal methods. These algorithms will be tested on the real-time vehicle simulators and, later, on real vehicles operating on highways and in urban areas. The influence of vehicle automation on road traffic and fuel efficiency will be studied.

Contribution

Almende will use the insights gained in the project for the further development of its DEAL platform, which allows for information transfer between different actors in a logistics network to improve coordination and traffic flow.

Results

The project is relevant to Almende’s vision and experience in the logistics domain, specifically with respect to optimizing information flows and planning when dealing with (partially) automated traffic. The results of this project will be incorporated into the DEAL platform.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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StreetWise

Streetwise

Duration: 9/2016 – 8/2018  Funding: MIT                                     

Partners: Populus, Bun.run

StreetWise

Streetwise is an R&D collaboration project between Almende and Populus Business Development. The project is a response to the large growth in deliveries in recent years, especially to individual households. This growth is mainly the result of a change in buying behavior of consumers, towards more online purchases. Since these purchases usually need to be delivered, a new flow of traffic has sprouted in neighborhoods – that of package delivery agents. This flow tends to be much larger than necessary; too many delivery agents are driving with half-empty trucks and packages often need to be offered more than once since the consumer is not at home during the day.

The Streetwise projects aims to connect logistics providers, online stores, local ‘last mile’ delivery agents, and consumers through an online platform and mobile apps. The goal of this is to improve the efficiency of especially the last link in the logistics chain, namely the delivery to the consumer. Through the platform, the consumer can share their (un)availability with the delivery agent, reducing the amount of failed deliveries due to nobody being at home. A secondary goal is to allow different logistics providers to collaborate, coupling their deliveries in the last mile to reduce neighborhood traffic and achieve a COÂē reduction of about 5%.

Contribution

Almende's contribution consisted of building the software platform and apps that facilitate communication and coordination between the various stakeholders defined above, and allow consumers to easily set their (un)availability in a way which is visible to other parties.

Results

The project resulted in an improved software platform for logistics planning. The improvements consisted of logic designed to optimize 'last-mile' delivery by combining shipments of different providers and accounting for the (un)availability of consumers.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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ACCUS

ACCUS

Many automated urban systems – like traffic lights, energy distribution grids, and outdoor lighting – are managed by self-contained embedded systems. This is an undesirable situation, because these systems are highly co-dependent, on each other, and on the behaviour of people.

In ACCUS, the project partners developed the necessary infrastructure to integrate (sub)urban embedded systems into a system-of-systems, allowing them to cooperate. Such a system-of-systems improves (energy)efficiency and their ability to adapt to and anticipate human behaviour. The ACCUS infrastructure was expected to provide the basis on which third parties can run various applications. Unfortunately, the project ended after roughly two years.

Contribution

Almende joined the ACCUS project as a member of DevLab. Almende and DevLab focused chiefly on gathering and interpreting sensor data from heterogeneous sources, such as the urban embedded systems themselves, wireless sensor networks and mobile devices.

In addition, we developed prediction algorithms to allow the urban system-of-systems to anticipate real-life behaviour of occupants and other objects, such as cars.

Results

The project contributed valuable techniques for heterogeneous sensor data analysis and fusion of different data sources into higher-level states, as well as predictive analytics techniques based on the data collected. These techniques offer applications in other mobility-related projects as well.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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