Concept
Transportation engineering
Related publications (124)
Are socially-aware trajectory prediction models really socially-aware?
Alexandre Massoud Alahi, Seyed Mohsen Moosavi Dezfooli, Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi
Our transportation field has recently witnessed an arms race of neural network-based trajectory predictors. While these predictors are at the core of many applications such as autonomous navigation or pedestrian flow simulations, their adversarial robustne ...
2022Ride-sharing with inflexible drivers in the Paris metropolitan area
Patrick Stefan Adriaan Stokkink
In ride-sharing, commuters with similar itineraries share a vehicle for their trip. Despite its clear benefits in terms of reduced congestion, ride-sharing is not yet widely accepted. We propose a specific ride-sharing variant, where drivers are completely ...
SPRINGER2022Reconfigurable Drone System for Transportation of Parcels With Variable Mass and Size
Dario Floreano, Fabrizio Schiano, Przemyslaw Mariusz Kornatowski, Leonardo Cencetti
Cargo drones are designed to carry payloads with predefined shape, size, and/or mass. This lack of flexibility requires a fleet of diverse drones tailored to specific cargo dimensions. Here we propose a new reconfigurable drone based on a modular design th ...
2022Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
Alexandre Massoud Alahi, Taylor Ferdinand Mordan, Dongxu Guo
Forecasting pedestrians' future motions is essential for autonomous driving systems to safely navigate in urban areas. However, existing prediction algorithms often overly rely on past observed trajectories and tend to fail around abrupt dynamic changes, s ...
2022Capturing trade-offs between daily scheduling choices
Michel Bierlaire, Timothy Michael Hillel, Janody Pougala
We propose a new modelling approach for daily activity scheduling which integrates the different daily scheduling choice dimensions (activity participation, location, schedule, duration and transportation mode) into a single optimisation problem. The funda ...
ELSEVIER SCI LTD2022The influence of trip length distribution on urban traffic in network-level models
Modeling urban traffic on the level of network is a wide research area oriented to the development of ITS. In this thesis properties of models based on MFD (Macroscopic Fundamental Diagram) are studied. The idea behind MFD is to say that the state of the t ...
EPFL2021Methodologies for understanding and improving pedestrian mobility
Michel Bierlaire, Marija Nikolic, Riccardo Scarinci, Nicholas Alan Molyneaux, Yuki Oyama, Zhengchao Wang
Pedestrian mobility is at the center of urban transportation systems. Therefore, understanding it is a necessary task to improve the mobility in cities. However, pedestrian mobility is extremely complex, and advance methods are needed to capture its dynami ...
Routledge2020Collecting Large-Scale Traffic Data with a Swarm of Drones
Nikolaos Geroliminis, Emmanouil Barmpounakis
The new era of “big data” requires going past the current conventional methods for gathering traffic information that until now depend either on fixed-area sensors or GPS devices. Unmanned Aerial Systems (UAS) or just "drones" have been proposed as a moder ...
2020On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment
Nikolaos Geroliminis, Emmanouil Barmpounakis
The new era of sharing information and "big data" has raised our expectations to make mobility more predictable and controllable through a better utilization of data and existing resources. The realization of these opportunities requires going beyond the e ...
PERGAMON-ELSEVIER SCIENCE LTD2020A complex networks approach to traffic flow theory: measures and models
In this thesis, we developed a research direction that combines the theoretical concepts of complex networks with practical needs and applications in the field of transportation engineering.
As a first objective we analyzed the phenomenon of congestion pr ...
EPFL2020