Smart Urban Mobility - 5 years of AMS
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Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
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The varying phenomena that characterize a pedestrian flow make it one of the most challenging traffic flow processes to manage and control. In the past three decades, we have started to unravel the science behind the crowd.
This has led to some important insights that are not only needed to reproduce, predict, and manage pedestrian flow, but will also provide potential avenues to managing other phenomena. In this talk, we will provide a historic perspective on pedestrian flow theory and crowd management. We show some of the key phenomena that have been observed (in controlled experiments, in the field), and how these phenomena can be explained, used or prevented.
We will also highlight some of the recent contributions in the field, including the role of AI, novel monitoring technology, and digital twins. We round up the talk showing how the finding can be generalized. We show how the game-theoretical modeling proposed for pedestrian flow models can form a basis for controlling connected autonomous vehicles. Using various examples, we show how self-organization, omnipresent in pedestrian flow, can inspire decentralized control approaches of other flow processes (e.g., autonomous vessels, drones). We show how approaches to reduce flow breakdown for pedestrian flows can be generalized for other flow processes.
MT-ITS keynote on active mode modelling
In this keynote, I discuss 25 years of active mode research performed at Transport & Planning. We discuss the role of data, and the use of game-theory to model active mode traffic. We also show how complex models can be simplified, looking at multi-scale approaches.
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Opening intelligent bicycle road - 16th of June, 2022. In this talk (in Dutch), we have introduced the investments in monitoring at the TU Delft campus.
Bataafsch genootschap lezing Hoogendoorn
This presentation provides an overview of our work on pedestrian flows and management. I discuss basic pedestrian flow dynamics, technology to support safe flow operations during the pandemic, and novel deployment of these technologies after the pandemic.
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We sketch a conceptual framework showing (lasting) impact on demand and supply. We illustrate complications at the supply side due to changing behaviour. We show how to include interventions and how to assess them.
VU talk May 2020
This talk presents a novel microscopic modelling framework for bicycle flow operations. The model does justice to the kinematics of cyclists. Contrary to pedestrians, cyclist are more restricted in their movement. The model approximates these restrictions by considering speed and movement direction and changes therein. Secondly, the model includes different strategies (cooperative, zero-acceleration, demon opponent) in its underlying game-theoretical framework. This allows us to model different attitudes towards risk.
The (qualitative) insights gained by application of the model pertain to one-on-one interactions between cyclists and the impact of the strategy assumptions and parameter choices on those interactions as well as on the collective phenomena that occur in the cyclist flow and their sensitivity to parameters (reflecting the extent of the prediction horizon, the level of anisotropy, and the relative importance of keeping the desired path). With respect to the collective phenomena, we look at efficiency and self-organised patterns.
We conclude that the model acts in a plausible manner. While we do not aim to show absolute validity, we see that the qualitative behaviour of one-on-one interactions is plausible. We also observe plausible collective patterns, including self-organisation. The latter is not trivial given the fundamental differences in bicycle and pedestrian flow.
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The Physics of Active Modes
Talk given at the kick-off of the ERC MAGnUM PhD week on the ALLEGRO program. The talk gives both an overview of ALLEGRO and then focusses more on active mode traffic operations.
Engineering Urban Mobility (in Dutch)
Talk given about current PhD projects that are relevant for shaping urban mobility. In particular, focus has been on behavioural insights relating to sustainable transport modes (such as walking, cycling, and MaaS).
Ams we make the city resilient
This document discusses transport resilience, which refers to the impact of and recovery from disruptions to transport systems. It examines challenges in understanding and improving resilience due to increasing complexity, uncertainty, and disruption probabilities in transport systems. The goal is to develop methods to resiliently design, plan and operate urban transport systems by applying principles like containment, adaptiveness and recourse. Experiments observe how behavior, coping strategies and system impacts vary greatly during disruptions. Tools are being developed for predictive modeling and real-time decision support to optimize multi-modal transport operations during disruptions. Trade-offs between efficiency and resilience must also be considered.
Introduction to transport resilience
The presentation deals with the Importance of resilience in transportation systems: factors that influence its relevance, the trade-off between robustness and efficiency, and the relation of resilience and evacuation management.
ITS for Crowds
In this short presentation, we will provide some recent developments in the field of crowd monitoring, modelling and management. We will illustrate these by showing various projects that we are involved in, including the SmartStation project, and the different events organised in and around the city of Amsterdam (including the Europride, SAIL, etc.).
In the talk, we will discuss the different components of the system and the methods and technology involved in these. We focus on advanced data collection techniques, the use of social media data, data fusion and the advanced macroscopic modelling required for this. Also, we will show examples of interventions that have been tested, showing how these systems are used in practise.
Future of Traffic Management and ITS
In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent.
ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this.
The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator.
With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other.
These two elements are two of the five steps that was identified in the transition towards a fully automated system.
The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel.
Differential game theory for Traffic Flow Modelling
Lecture given at the INdAM symposium in Rome, 2017. The lecture shows how you can use differential games to model traffic flows, focussing on pedestrian simulation.
Aanzet onderzoeksprogramma Wetenschappelijke Raad Veilig Ontruimen
Korte presentatie met de verschillende onderzoeksthema's die relevant zijn binnen het onderzoeksdomein Veilig Ontruimen. De presentatie heeft tot doel ideeën te genereren voor een onderzoeksagenda.
Floating Car Data and Traffic Management
Keynote gegeven tijdens het NDW symposium over mogelijkheden van nieuwe databronnen. We kijken met name naar toepassingen binnen het netwerkbroed dynamisch verkeersmanagement.
Praktijkrelevantie TRAIL PhD onderzoek
In deze lezing worden recent afgeronde TRAIL proefschriften besproken, met focus op de relevantie voor de praktijk. We bespreken recente ontwikkeling in verkeersmanagement en coöperatieve systemen, crowd- en evacuatiemanagement en transport security. We bespreken ook kort de verschuiving van de focus binnen de leerstoel Traffic Operations and Management.
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Short talk impact Covid-19 on supply and demand during the RA webinar
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- 1. Making urban mobility great again! Five years of cooperation Serge Hoogendoorn AMS Theme Smart Urban Mobility
- 2. Role of AMS Institute in facing mobility challenges Linking challenges to solutions Provide relevant insights into behaviour of the transport system and its users and provide tools to support design and assessment of novel mobility services Jointly develop innovative solutions to support Amsterdam in achieving its mobility objectives and test these in joint pilots Help identify key future issues and help set the urban mobility agenda Contribute to creating a sustainable mobility system in the context of the new ecosystem
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