Posts in category Project
CO2 Barometer
In this PhD project by Marko Kapetanović, an integrated model for dynamic monitoring and prediction of CO2 emissions of regional railway services is developed, following a life-cycle approach. The project is performed in close cooperation with Arriva, the largest regional railway undertaking in the Netherlands. Possibilities and measures to improve the energy efficiency of railway operation and to reduce the total emissions on the network are identified and assessed, including alternative propulsion systems such as hybrid, plug-in hybrid, fuel cell-electric and battery electric, together with a range of energy carriers. Analyzed fuels and energy carriers include LNG, first and second generation biofuels, hydrogen and electricity, with examined various alternative production pathways. Check the main output of this project below.
Short video explaining the project and main results
Korte video over het project en resultaten (in Dutch)
Doctoral Thesis
Improving Environmental Sustainability of Regional Railway Services (TU Delft, 2023)
Papers
Life Cycle Assessment of Alternative Traction Options for Non Electrified Regional
Railway Lines (World Congress on Railway Research (WCRR) 2022)
Optimal network electrification plan for operation of battery electric multiple unit regional trains (TRISTAN XI 2022)
Analysis of hydrogen powered propulsion system alternatives for diesel electric
regional trains (Journal of Rail Transport Planning & Management 2022)
Reducing fuel consumption and related emissions through optimal sizing of energy storage systems for diesel-electric trains (Applied Energy 2021)
Analysis of Hybrid and Plug-In Hybrid Alternative Propulsion Systems for Regional Diesel-Electric Multiple Unit Trains (Energies 2021)
Sustainability of Railway Passenger Services: A Review of Aspects, Issues, Contributions and Challenges of Life Cycle Emissions ( RailNorrköping 2019)
Presentations
Assessment of Alternative Traction Options for Non Electrified Regional
Railway Lines (World Congress on Railway Research (WCRR) 2022)
Optimal network electrification plan for operation of battery electric multiple unit regional trains (TRISTAN XI 2022)
Improving Sustainability of Regional Railway Services in the Netherlands (Rail Infra Forum, RailTech 2023)
Vehicle-to-Grid Concept for Hydrogen Fuel Cell Hybrid-Electric Regional Trains (RailBelgrade 2023)
Other
How can railways phase out diesel from their operations? (RailTech Digital Magazine | Sustainable Rolling Stock)
Reducing rail emissions: Shifting to diesel alternatives (Webinar, RailTech 2022)
Improving Environmental Sustainability of Regional Railway Services in the Netherlands (Rail Infra Forum, RailTech 2023)
Impacts of Covid on train traveller behaviour / De gevolgen van de coronacrisis op treinreisgedrag
Delft University of Technology and the Dutch railways (NS) started a joint, longitudinal research in April 2020 on Covid impacts on train passenger behaviour. During and after the pandemic, 8 surveys in different stages (15,000-45,000 participants each) were held to learn about the impacts and expectations.
Read more in the papers, presentations and news releases below. English publications are highlighted in the list.
***
TU Delft en NS zijn 24 april 2020 een grootschalig, longitudinaal onderzoek naar de gevolgen van de coronacrisis op het reisgedrag gestart. In de 8 metingen zijn per keer 15.000-45.000 reizigers bevraagd. Door de intelligente lockdown daalde het aantal treinreizigers in 2020 tot ongeveer 7% ten opzichte van normaal. De onderzoeksvraag is hoe reizigers zich tijdens en na de crisis (verwachten te) gaan gedragen. Vanuit NS zijn Valerie Severens, Menno de Bruyn en Mark van Hagen betrokken bij dit onderzoek. Bij de TU Delft zijn dat Danique Ton, Dorine Duives en Niels van Oort.
Lees hier over het onderzoek en de resultaten tot zover:
<English> The lost passengers: insights into the group of passengers that stopped travelling by train after COVID, European Transport Conference with Menno de Bruyn, Danique Ton and Niels van Oort | Paper | Presentation [Resultaten until November 2022, post-Covid]
De impact van Corona op treinreisgedrag, OV Magazine met Menno de Bruyn en Niels van Oort [Resultaten t/m maart 2022]
“Spitsmijden mislukt, we werken allemaal op dezelfde dag thuis”, OV Pro met Niels van Oort
“Sommige reizigers zijn we gewoon kwijt”, OV Pro met Niels van Oort
<English> Infographic main findings
Infographic met de belangrijkste bevindingen
<English> Change in train travelling behaviour during and after Covid-19 due to anxiety, European Transport Conference with Gudrun Birta Hafsteinsdóttir et al. [Anxiety insights, results until September 2021]
Wegvallen busritten heeft grote gevolgen voor deze GGZ instelling, TV rapportage EenVandaag met Niels van Oort [Resultaten t/m maart 2022]
1 op de 3 busritten dreigt weg te vallen, Artikel EenVandaag met Niels van Oort [Resultaten t/m maart 2022]
Wanneer keren reizigers terug in de trein? ,OV Magazine met Menno de Bruyn en Gudrun Birta Hafsteinsdóttir [Vrijheid om te reizen met de trein, resultaten t/m september 2021]
Treinreizigers blij met afschaffen mondkapjesplicht, OV Magazine met Niels van Oort [Redenen om weer met de trein te reizen, resultaten t/m september 2021]
<English> Effects of anxiety on train travelling behaviour during and after Covid-19, Thesis with Gudrun Birta Hafsteinsdóttir [Results until September 2021]
<English> Teleworking during COVID-19 in the Netherlands: Understanding behaviour, attitudes, and future intentions of train travellers, Paper with Danique Ton et al. [Teleworking profiles and behaviour]
CVS congres presentatie met Danique Ton et al. [Resultaten t/m september 2021]
CVS congres paper met Mark van Hagen et al. [Resultaten t/m april 2021]
<English> Covid and train traveler behavior with Mark van Hagen et al [Paper with results until April 2021]
Hausse aan reizigers verwacht: kun je straks nog zitten in de trein?, NOS met Niels van Oort [Thuiswerken (dagen en frequentie)]
<English> Train traveller behaviour during and after Covid: insights of a longitudinal survey of Dutch train passengers with Mark van Hagen et al. [Paper with results until December]
BNR Nieuwsradio met Niels van Oort [OV ná Corona]
<English> RailTech with Mark van Hagen, Danique Ton and Niels van Oort [results until december + teleworking]
<English> Smart Public Transport Lab COVID webinar met Danique Ton [Teleworking]
Nieuwsuur over toekomst NS met Marjan Rintel [Treinreizen ná Corona]
Verkeerskunde artikel met Valerie Severens, Mark van Hagen, ea [resultaten april, juni en september]
OV Pro artikel met Menno de Bruyn en Niels van Oort [resultaten t/m september]
Interview OV Magazine met Menno de Bruyn
SpoorPro TV met Menno de Bruyn en Niels van Oort (vanaf 16:15 min) [resultaten t/m september]
CVS paper met Mark van Hagen, Dorine Duives en Valerie Severens [resultaten t/m juni]
<English>AET Covid webinar met Mark van Hagen en Niels van Oort [resultaten t/m september]
Fietscommunity presentatie met Niels van Oort [effecten fiets en OV, april en juni]
Presentatie EMTA met Dorine Duives [resultaten t/m juni]
MPN symposium met Mark van Hagen en Danique Ton [resultaten april en juni]
SpoorPro TV met Menno de Bruyn en Niels van Oort [resultaten april]
<English>Webinar ADS met Menno de Bruyn
<English> Webinar Smart Public Transport Lab met Danique Ton [resultaten april]
PhD project: Robust train trajectory optimization
In cooperation with the Dutch Railways (NS), Alex Cunillera works in this PhD research on robust train trajectory optimization. Even two trains of the same model running on the same line show significant differences in their dynamics. This might be due to different passenger loads, weather, fault history, driving style of the train driver, etc. Moreover, there are uncertainties in the track data that may also have a strong influence on the train operation. This research focuses on determining the uncertainties and stochastics of these variations and developing methods to compute robust train trajectories that optimize the energy consumption and minimize delays in the presence of the mentioned variations.
Project contributions (ongoing):
Papers:
Train motion model calibration: research agenda and practical recommendations (ITSC 2022)
Presentations:
Real-time train motion parameter estimation using an Unscented Kalman Filter (RailBeijing 2021)
Train motion model calibration: research agenda and practical recommendations (ITSC 2022)
Inclusief openbaar vervoer, van theorie naar praktijk
Hoewel de theorieën over rechtvaardige mobiliteit niet nieuw zijn, missen we nog wel kennis over de implicaties en toepassing. Monica van Luven van het Smart Public Transport Lab deed bij de Vervoerregio Amsterdam onderzoek. “We staan nog aan het begin van goede inbedding van inclusieve mobiliteit in onze beleidscyclus en moeten nog verschillende belangrijke keuzes maken.”
Lees HIER het hele onderzoek
Het 3-jarige onderzoek van TU Delft en Vervoerregio over inclusieve mobiliteit vind je HIER
Ons onderzoek naar de digitale kloof i.s.m. het Kennisinstituut voor Mobiliteitsbeleid vind je HIER
Covid impacts on train travel behaviour
Delft University of Technology and the Dutch railways (NS) started a joint, longitudinal research in April 2020 on Covid impacts on train passenger behaviour. During the pandemic, 7 surveys in different stages (15,000-45,000 participants each) were held to learn about the impacts and expectations. The main results are presented in an infographic.
Find the high resolution infographic HERE. Also available in DUTCH
Find the detailed results in these scientific papers:
Transportion research-Part A: Teleworking during COVID-19 in the Netherlands: Understanding behaviour, attitudes, and future intentions of train travellers
Bivec Transport Days: Train traveller behaviour during and after Covid: insights of a
longitudinal survey of Dutch train passengers
Transport Research Procedia: Monitoring the impact of COVID-19 on the travel behavior of train
travelers in the Netherlands
Find other output such as reports, presentations and media articles
Train traveller behaviour during and after Covid: insights of a longitudinal survey of Dutch train passengers
The pandemic had (and still has) an obvious impact on public transport (use). To gain insights into passenger behaviour during and after the pandemic, a longitudinal survey is organised with the goal to capture behaviour, attitudes and intentions related to train usage. Four surveys were held between April and December 2020, involving 23,000-47,000 passengers each. The results provide valuable, quantitative insights that help to recover and rethink public transport after the pandemic, for instance by adjusted planning, design and operations. Findings show that 30% of the passengers want to avoid the peak hour after Covid and 72% will telework more often, saving multiple trips per week. The most popular days for teleworking will be Friday and Wednesday. Related future research directions are for instance developing more flexible and demand-driven schedules and services.
Read more in the PAPER by Mark van Hagen et al. or check the PRESENTATION at the BIVEC Transport days
How do Dutch train passengers (expect to) travel during and after Covid?
Thursday 5th November, the ETC Programme Committees for Local Public Transport and Rail Policy and Planning hosted a Covid webinar on: “How do Dutch train passengers (expect to) travel during and after Covid? Insights from a longitudinal panel of over 20,000 train passengers”, by Mark van Hagen (Netherlands Railways) and Niels van Oort (TU Delft). Together, Mark and Niels initiated a longitudinal survey amongst Dutch train travellers and how they cope with Covid with regard to their (future) travel patterns. In this webinar, they will share the main findings and lessons. A reflection from a wider EU perspective will also be given by András Munkácsy, Head of the Department for Transport Management at the KTI Institute for Transport Sciences, Hungary.
Find the presentation HERE
Public Transport and Covid-19
How did Covid-19 affect public transport worldwide? BSc graduate Gerben van der Horst developed multiple time lapses to show the measures taken worldwide from January until June:
(Partial) shutdown of public transport services time lapse
Facemasks regulations time lapse
Lockdown time lapse
Find more information, references and data acknowledgements in the full report of Gerben van der Horst: HERE
In addition, find our Smart Public Transport Lab thoughtpiece on Public Transport in and after Covid-19: HERE
An overview of Covid-19 research of the Smart Public Transport Lab is provided: HERE
Opportunities and challenges for automated vehicles (individual, public and freight transport)
Since several years many developments regarding self-driving, automated vehicles (AVs) take place. Within the coming years it is expected that automated vehicles are becoming part of our transportation system. Therefore it’s becoming more and more important for policy makers to get insights into the state-of-the-art developments around AVs, in order to foster applications of AVs which are promising from a societal point of view and to take these developments into consideration during the decision-making process.
Definition and function of automation
Automation in this study refers to the transport system including all of its components, such as vehicles, drivers, users, infrastructure, information systems and applications. The level in which the driver is still ‘in the loop’ is used in order to discriminate between the different levels of vehicle automation: driver assistance (level 1), partial automation (level 2), conditional automation (level 3) and high/full automation (level 4).
In this study, our aim is to analyze strengths, weaknesses, opportunities and threats related to different applications of automation for autonomous private vehicles, freight transport and handling, and public transport. The potential of different applications of AVs in the Zuidvleugel in this study is strictly considered from a societal perspective (demand driven), in which AVs have a societal contribution to answer challenges the Zuidvleugel will face the upcoming years. Each application of automation is analyzed based on its functional ability to contribute to more agglomeration power of the Randstad Zuidvleugel, which in turn can improve the position of the Randstad Zuidvleugel relative to other European metropolitan areas.
Conclusions
We can conclude that a variety of (developments of) applications of automation exist in the Netherlands and worldwide regarding autonomous vehicles, freight and public transportation. We see several opportunities for the Zuidvleugel to benefit from these developments. Some of them are relevant for the short term (4 years), whereas other developments need more time to may be applied.
Read more: Essay TU Delft and Presentation workshop automated vehicles
Urban Mobility Lab in Amsterdam
Amsterdam Institute for Advanced Metropolitan Solutions (AMS), het nieuwe instituut voor toegepaste stedelijke technologie en ontwerp start met drie projecten. Deze projecten gaan nog dit jaar van start; Rain Sense, Urban Pulse en Urban Mobility Lab. Deze projecten voldoen aan belangrijke criteria van AMS-projecten: er zijn partners van het instituut én inwoners van de stad betrokken, de onderzoek is nuttig voor de inwoners van Amsterdam en de projecten zijn wereldwijd gezien innovatief.
Urban Mobility Lab (olv Serge Hoogendoorn, Hans van Lint en Niels van Oort) houdt zich bezig met het begrijpen en kunnen voorspellen van verkeersstromen. In een metropool als Amsterdam is dat complex, omdat verkeer en vervoer het resultaat zijn van miljoenen kleine en grote beslissingen. Neemt u de auto, de tram of gaat u lopen? Waar gaat u wonen en werken? Op welke manier worden bedrijven bevoorraad? Waar moet dat nieuwe station komen? Alles hangt met alles samen. AMS gaat hiervoor een uniek laboratorium bouwen waarmee we dat soort vragen integraal en in samenhang kunnen onderzoeken. Met dit Urban Mobility Lab kunnen gemeente, bedrijven en bewoners straks werken aan nieuwe, schonere en betrouwbaardere mobiliteit voor iedereen.
Kijk voor meer informatie over UML op: Slides UML
Renée Hoogendoorn, directeur van AMS, is trots op deze stappen. ‘De impact van deze projecten voor de stad is groot. Wat is er mooier dan te werken aan de kwaliteit van wonen, werken en verblijven in de stad, te werken aan de lééfkwaliteit en dus te zorgen voor minder schade, minder files, minder milieuvervuiling en om te helpen dat essentiële zaken – als energie, water en voedsel – voor iedereen beschikbaar zijn? Komende tijd zullen meer projecten starten en zal ook zichtbaar worden wat AMS qua Onderwijs en Data-Platform te bieden heeft. De feitelijke start van AMS is nu gemaakt. Dat we nu dus ook een eigen locatie hebben in Amsterdam is niet alleen noodzakelijk maar ook een groot genot. Op deze interessante plek in Amsterdam kunnen we komende jaren AMS flink uitbouwen.’
Over AMS
AMS is een internationaal instituut dat vanuit een multidisciplinaire aanpak onderzoek doet naar grootstedelijke vraagstukken en hiervoor oplossingen ontwikkelt en implementeert. Bewoners van de stad worden betrokken als testers, gebruikers en co-creators van producten en ideeën die de stad leefbaarder moeten maken. Amsterdam fungeert daarmee als het ‘living lab’ van AMS. AMS is een initiatief van de academische partners TU Delft, MIT en Wageningen UR, samen met de Gemeente Amsterdam. De basis van AMS is een open platform waarbij allerlei partijen kunnen aansluiten. Het instituut werkt nu al samen met partners als Accenture, Alliander, Cisco, IBM, KPN, Shell en Waternet, Amsterdam Smart City, ESA, TNO, Waag Society, het Havenbedrijf Amsterdam en de stad Boston.