Antoine Tordeux

Antoine Tordeux
Bergische Universität Wuppertal | Uni-Wuppertal, BUW

Ph.D

About

82
Publications
12,768
Reads
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637
Citations
Additional affiliations
November 2017 - present
Bergische Universität Wuppertal
Position
  • Professor (Assistant)
June 2013 - present
Forschungszentrum Jülich
Position
  • Research Assistant
September 2007 - December 2012
Université Gustave Eiffel
Position
  • Research Assistant
Education
September 2007 - June 2010
Université Gustave Eiffel
Field of study
  • Mathematics

Publications

Publications (82)
Article
Full-text available
Identifying the factors that control the dynamics of pedestrians is a crucial step towards modeling and building various pedestrian-oriented simulation systems. In this article, we empirically explore the influential factors that control the single-file movement of pedestrians and their impact. Our goal in this context is to apply feed-forward neur...
Preprint
Full-text available
Understanding and predicting lane-change maneuvers on highways is essential for driving modeling and its automation. The development of data-based lane-changing decision-making algorithms is nowadays in full expansion. We compare empirically in this article different machine and ensemble learning classification techniques to the MOBIL rule-based mo...
Article
Full-text available
The collective motion of interacting self-driven particles describes many types of coordinated dynamics and self-organisation. Prominent examples are alignment or lane formation which can be observed alongside other ordered structures and nonuniform patterns. In this article, we investigate the effects of different types of heterogeneity in a two-s...
Article
Full-text available
We apply the concept of time-to-collision (TTC) to the modeling of pedestrian dynamics. The TTC combines the spatial distances with the velocities to quantify the 'distance' to a collision. Therefore, it is a promising candidate for modeling the interactions between pedestrians. Empirical studies also indicate that the interaction between pedestria...
Article
In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task depending on many external factors. The topology of the scene and the interactions between the pedestrians are just some of them. Due to advancements in data-science and data collection technologies deep learning methods have recently become a research hots...
Preprint
Full-text available
In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task depending on many external factors. The topology of the scene and the interactions between the pedestrians are just some of them. Due to advancements in data-science and data collection technologies deep learning methods have recently become a research hots...
Preprint
Full-text available
The collective motion of interacting self-driven particles describes many types of coordinated dynamics and self-organisation. Prominent examples are alignment or lane formation which can be observed alongside other ordered structures and nonuniform patterns. In this article, we investigate the effects of different types of heterogeneity in a two-s...
Article
In this paper, we extend the nonlinear adaptive time gap car-following model to enhance the local and string stability for adaptive cruise control systems considering a time-lag in the lower level vehicle dynamics and a sensor time-delay. Both over-damped local and string stability analyses are performed mathematically and examined by simulation. T...
Conference Paper
Many models and algorithms allow predicting driver lane-changing intents in highway. Generally speaking, the challenge consists of inferring lane-changing maneuvers from speed difference and spacing with the surrounding vehicles on current and intended lanes. In this contribution, we empirically compare two approaches: the MOBIL model and the naïve...
Conference Paper
Full-text available
Predicting lane-change intents is crucial for driving automation. Several rule-based models and data-based algorithms exist in the literature, among other modelling approaches. In this contribution, we compare lane-change intent prediction using MOBIL rule-based model and a decision tree algorithm. Both approaches are based on the speed difference...
Conference Paper
Understanding and predicting lane-changing intents on highways is fundamental for multi-lane cruise control systems and automated driving. Many studies have been carried out using the NGSIM data-set of trajectories on US highways with symmetric lane-changing behaviors. In this contribution, we present a statistical analysis of discretionary lane-ch...
Article
Campus security has aroused many concerns from the whole society. Stampede is one of the most frequent and influential accidents in campus. Studies on pedestrian dynamics especially focusing on students are essential for campus security, which are helpful to improve facility design and emergency evacuation strategy. In this paper, primary and middl...
Conference Paper
Full-text available
We propose the concept of multi-lane adaptive cruise control system through an extended algorithm for the longitudinal motion planning of autonomous vehicles on highways including the prediction of lane changing events. The main idea is to couple a hidden Markov model for the detection of lane changes to the adaptive time gap car-following model fo...
Chapter
VoronoiChraibi, MohcineSteffen, BernhardTordeux, Antoine diagrams are an established method in the analysis of pedestrian motion for constructing a density from two-dimensional positions. It is in turn used to give pointwise values for speed, movement direction, flow etc. The method was first described for high-density situations inside a crowd mov...
Chapter
AdaptiveTordeux, AntoineLebacque, Jean-PatrickLassarre, Sylvain cruise control (ACC) systems are fundamental components of driving automation. At the upper control levelUpper and Lower Control Level, ACC systems are based on car-following models determining the acceleration rate of a vehicle according to the distance gap to the predecessor and the...
Chapter
ClassicalCordes, JakobSchadschneider, AndreasTordeux, Antoine second order models of pedestrian dynamics, like the social-force model, suffer from various unrealistic behaviors in the dynamics, e.g. backward motion, oscillations and overlapping of pedestrians. These effects are intrinsic to the dynamics and the consequence of strong inertia effects...
Article
Pedestrian behavior tends to depend on the type of facility. The flow at bottlenecks, for instance, can exceed the maximal rates observed in straight corridors. Consequently, accurate predictions of pedestrians movements in complex buildings including corridors, corners, bottlenecks, or intersections are difficult tasks for minimal models with a si...
Conference Paper
Full-text available
We propose a dynamic safety analysis for trajectory planning of automated vehicles on highway including the prediction of lane-changing events. To predict the trajectories, we couple a Hidden Markov Model (HMM) for the lane change with the Adaptive Time Gap car-following model (ATG) for the control of the vehicle speed. Indeed for traffic safety, m...
Article
Full-text available
Stop-and-go waves are a common feature of vehicular traffic and have also been observed in pedestrian flows. Usually the occurrence of this self-organization phenomenon is related to an inertia mechanism. It requires fine-tuning of the parameters and is described by instability and phase transitions. Here, we present a novel explanation for stop-an...
Article
Full-text available
Stop-and-go waves are commonly observed in traffic and pedestrian flows. In most microscopic traffic models, they occur through a phase transition and instability of the homogeneous solution after fine tuning of parameters. Inertia effects are believed to play an important role in this mechanism. In this article, we present a novel explanation for...
Preprint
Waves and oscillations are commonly observed in the dynamics of systems self-driven agents such as pedestrians or vehicles. Interestingly, many factors may perturb the stability of homogeneous solutions, leading to the spontaneous formation of waves related as stop-and-go waves or phantom jam in the literature. In this article, we demonstrate that...
Preprint
Full-text available
Adaptive cruise control systems are fundamental components of the automation of the driving. At upper control level, ACC systems are based on car-following models determining the acceleration rate of a vehicle according to the distance gap to the predecessor and the speed difference. The pursuit strategy consists in keeping a constant time gap with...
Preprint
Full-text available
Stop-and-go waves are commonly observed in traffic and pedestrian flows. In most traffic models they occur through a phase transition after fine tuning of parameters when the model has unstable homogeneous solutions. Inertia effects are believed to play an important role in this mechanism. Here, we present a novel explanation for stop-and-go waves...
Preprint
Full-text available
Classical second order models of pedestrian dynamics, like the social-force model, suffer from various unrealistic behaviors in the dynamics, e.g. backward motion, oscillations and overlapping of pedestrians. These effects are not related to the discretization of the equations of motion, but intrinsic to the dynamics. They are the consequence of st...
Chapter
In this work we propose a methodology for assessment of pedestrian models continuous in space. With respect to the Kolmogorov–Smirnov distance between two data-clouds, representing, for instance, simulated and the corresponding empirical data, we calculate an evaluation factor between zero and one. Based on the value of the herein developed factor,...
Chapter
Full-text available
The prediction of pedestrian movements in complex buildings is a difficult task. Recent experiments have shown that the behaviour of pedestrians tends to depend on the type of facility. For instance, flows at bottlenecks often exceed the maximal rates observed in straight corridors. This makes pedestrian behaviours geometry-dependent. Yet the types...
Chapter
Full-text available
Pedestrian behaviours tend to depend on the type of facility. Accurate predictions of pedestrian movement in complex geometries (including corridor, bottleneck or intersection) are difficult to achieve for models with few parameters. Artificial neural networks have multiple parameters and are able to identify various types of patterns. They could b...
Chapter
The crowd structures in different public places or mass events are diverse. Areas with a large fraction of children, elderly pedestrians, or women, who are always referred to as vulnerable groups, will require higher standard for facility design and emergency evacuation. The fundamental diagram and gait characteristics, the basic properties for ped...
Chapter
Stop-and-go waves are commonly observed in traffic and pedestrian flows. In traffic theory, they are described by phase transitions of metastable models. The self-organisation phenomenon occurs due to inertia mechanisms but requires fine tuning of the parameters. Here, a novel explanation for stop-and-go waves based on stochastic effects is present...
Preprint
Full-text available
The collision-free velocity model is a microscopic pedestrian model, which despite its simplicity, reproduces fairly well several self-organization phenomena in pedestrian dynamics. The model consists of two components: a direction sub-model that combines individual desired moving direction and neighbor's influence to imitate the process of navigat...
Article
The collision-free velocity model is a microscopic pedestrian model, which despite its simplicity, reproduces fairly well several self-organization phenomena in pedestrian dynamics. The model consists of two components: a direction sub-model that combines individual desired moving direction and neighbor’s influence to imitate the process of navigat...
Preprint
Full-text available
In this work we propose a methodology for assessment of pedestrian models continuous in space. With respect to the Kolmogorov-Smirnov distance between two data clouds, representing for instance simulated and the corresponding empirical data, we calculate an evaluation factor between zero and one. Based on the value of the herein developed factor, w...
Article
A mesoscopic pedestrian model is proposed, considering pedestrians as individuals and describing their movement by means of aggregate density-flow relationships. The model builds on a stochastic process, describing transition rates among adjacent sites on a lattice. Each lattice can contain several pedestrians. The approach is minimal and fast to s...
Article
Full-text available
In a crowd, individuals make different motion choices such as “moving to destination,” “following another pedestrian,” and “making a detour.” For the sake of convenience, the three direction choices are respectively called destination direction, following direction, and detour direction in this paper. Here, it is found that the featured direction c...
Preprint
Full-text available
In a crowd, individuals make different motion choices such as "moving to destination", "following another pedestrian", and "making a detour". For the sake of convenience, the three direction choices are respectively called destination direction, following direction and detour direction in this paper. Here, it is found that the featured direction ch...
Article
Stepping locomotion is the basis of human movement. The investigation of stepping locomotion and its affecting factors is necessary for a more realistic knowledge of human movement, which is usually referred to as walking with equal step lengths for the right and left leg. To study pedestrians' stepping locomotion, a set of single-file movement exp...
Article
Full-text available
Pedestrian behaviours tend to depend on the type of facility. Therefore accurate predictions of pedestrians movements in complex geometries (including corridor, bottleneck or intersection) are difficult to achieve for classical models with few parameters. Artificial neural networks have multiple parameters and are able to identify various types of...
Article
Full-text available
Stop-and-go waves are commonly observed in traffic and pedestrian flows. In traffic theory they are described by phase transitions of metastable models. The self-organization phenomenon occurs due to inertia mechanisms but requires fine tuning of the parameters. Here, a novel explanation for stop-and-go waves based on stochastic effects is presente...
Chapter
In this contribution, we review the state of the art of the interplay between empirical and theoretical studies of pedestrian dynamics. First, we introduce the main physical quantities characterizing the properties of a homogeneous crowd. A brief summary of some important empirical findings is given. Finally, we discuss the properties of microscopi...
Article
Full-text available
The choice of the exit to egress from a facility plays a fundamental role in pedestrian modelling and simulation. Yet, empirical evidence for backing up simulation is scarce. In this contribution, we present three new groups of experiments that we conducted in different geometries. We varied parameters such as the width of the doors, the initial lo...
Article
Full-text available
In this paper, the stability of the uniform solutions is analysed for microscopic flow models in interaction with $K\ge1$ predecessors. We calculate general conditions for the linear stability on the ring geometry and explore the results with particular pedestrian and car-following models based on relaxation processes. The uniform solutions are sta...
Article
Full-text available
In this work, we derive first order continuum traffic flow models from a microscopic delayed follow-the-leader model. Those are applicable in the context of vehicular traffic flow as well as pedestrian traffic flow. The microscopic model is based on an optimal velocity function and a reaction time parameter. The corresponding macroscopic formulatio...
Chapter
Full-text available
Many car-following models have been developed for jam avoidance in highways. Two mechanisms are used to improve the stability: feedback control with autonomous models and increasing of the interaction within cooperative ones. In this paper, we compare the linear autonomous and collective optimal velocity (OV) models. We observe that the stability i...
Chapter
Stop-and-go waves in single-file movement are a phenomenon that is observed empirically in pedestrian dynamics. It manifests itself by the co-existence of two phases: moving and stopping pedestrians. We show analytically based on a simplified one-dimensional scenario that under some conditions the system can have unstable homogeneous solutions. Hen...
Chapter
Full-text available
Initial conditions could have strong influences on the dynamics of pedestrian experiments. Thus, a careful differentiation between transient state and steady state is important and necessary for a thorough study. In this contribution a modified CUSUM algorithm is proposed to automatically detect steady state from time series of pedestrian experimen...
Chapter
Full-text available
We propose in this paper a minimal speed-based pedestrian model for which particle dynamics are intrinsically collision-free. The speed model is an optimal velocity function depending on the agent length (i.e. particle diameter), maximum speed and time gap parameters. The direction model is a weighted sum of exponential repulsion from the neighbour...
Conference Paper
Full-text available
For the proper understanding and modelling of pedestrian dynamics, reliable empirical data are necessary. Trajectories of every person with a high temporal and spatial resolution allow a detailed analysis of movement as well as the calibration and verification of microscopic models in space and time. To extract individual trajectories on a microsco...
Article
Full-text available
A class of microscopic stochastic models is proposed to describe 1D pedestrian trajectories obtained in laboratory experiments. The class contains continuous first-order models that are based on statistically calibrated optimal velocity functions. More specifically, we consider a model with an additive white noise and another one where the noise is...
Chapter
Full-text available
We propose a microscopic stochastic model to describe 1D pedestrian trajectories obtained in laboratory experiments. The model is based on optimal velocity (OV) functions and an additive noise determined by the inertial Ornstein-Uhlenbeck process. After statistical estimation of the OV function and noise parameters, we explore the model by simulati...
Article
Full-text available
We propose in this paper a minimal speed-based pedestrian model for which particle dynamics are intrinsically collision-free. The speed model is an optimal velocity function depending on the agent length (i.e.\ particle diameter), maximum speed and time gap parameters. The direction model is a weighted sum of exponential repulsion from the neighbor...
Article
Stop-and-go waves in single-file movement are a phenomenon that is ob- served empirically in pedestrian dynamics. It manifests itself by the co-existence of two phases: moving and stopping pedestrians. We show analytically based on a simplified one-dimensional scenario that under some conditions the system can have instable homogeneous solutions. H...
Article
Force-based models describe pedestrian dynamics in analogy to classical mechanics by a system of second order ordinary differential equations. By investigating the linear stability of two main classes of forces, parameter regions with unstable homogeneous states are identified. In this unstable regime it is then checked whether phase transitions or...
Conference Paper
Full-text available
Initial conditions could have strong influences on the dynamics of pedestrian experiments. Thus, a careful differentiation between transient state and steady state is important and necessary for a thorough study. In this contribution a modified CUSUM algorithm is proposed to automatically detect steady state from time series of pedestrian experimen...
Conference Paper
In this paper we investigate effects of boundary conditions on one dimensional pedestrian flow which involves purely longitudinal interactions. Qualitatively, stop-and-go waves are observed under closed boundary condition and dissolve when the boundary is open. To get more detailed information the fundamental diagrams of the open and closed systems...
Article
Full-text available
In this work, the precision of estimators for the density within unidirectional pedestrian streams is evaluated. The analysis is done in controllable systems where the density is homogeneous and all the characteristics are known. The objectives are to estimate the global density with local measurements or density profile at high spatial resolution...
Conference Paper
Full-text available
Nowadays more than half of mankind lives in cities. The worldwide growth of cities is inevitable and poses great challenges for the urban development and architecture. In this context, knowledge about pedestrian dynamics is important and allows the design and improvement of facilities with respect to safety, level of service and economy. Motivated...
Article
Full-text available
Optimal velocity (OV) car-following models give with few parameters stable stop-and -go waves propagating like in empirical data. Unfortunately, classical OV models locally oscillate with vehicles colliding and moving backward. In order to solve this problem, the models have to be completed with additional parameters. This leads to an increase of t...
Article
SUMMARY The main contribution of this paper is to show, on the basis of empirical traffic data, that the distribution of vehicle speeds on a road segment evolves with the occupancy in a simple manner. Under a critical occupancy, the distribution is unimodal, with one peak (the high mode) close to the free-flow speed. When the occupancy exceeds the...
Article
Full-text available
In this paper we consider a microscopic model of traffic flow called the adaptive time gap car-following model. This is a system of ODEs which describes the interactions between cars moving on a single line. The time gap is the time that a car needs to reach the position of the car in front of it (if the car in front of it would not move and if the...
Conference Paper
Full-text available
Local and collective stability analysis give the conditions for that the stationary solutions of car-following models are uniform. Recent homogenization methods allow to obtain sufficient conditions for that the system converges with no collision to the uniform solution. These conditions are calculated and illustrated by numerical experiments with...