5 citations · 5 across the 4 of their papers we have counts for
4 papers
Observation-Aligned Two-Stage Domain Decomposition for Physics-Informed Traffic State Estimation with Sparse Fixed Sensors
Eunhan Ka, Ludovic Leclercq, Satish V. Ukkusuri
Traffic state estimation from sparse fixed sensors is challenging because physics-informed neural networks (PINNs) tend to over-smooth sharp transitions admitted by the Lighthill-W…
A Modeling and Optimization Framework for Fostering Modal Shift through the Integration of Tradable Credits and Demand-Responsive Autonomous Shuttles
Zenghao Hou, Ludovic Leclercq
Tradable Credit Schemes (TCS) promote the use of public and shared transport by capping private car usage while maintaining fair welfare outcomes by allowing credit trading. Howeve…
Scaling Methods To Estimate Macroscopic Fundamental Diagrams in Urban Networks with Sparse Sensor Coverage
Nandan Maiti, Manon Seppecher, Ludovic Leclercq
Accurately estimating traffic variables across unequipped portions of a network remains a significant challenge due to the limited coverage of sensor-equipped links, such as loop d…
Macroscopic analysis and modelling of multi-class, flexible-lane traffic
Victor L. Knoop, Wouter J. Schakel, Tim P. van Oijen +1
An excessive demand of vehicles to a motorway bottleneck leads to traffic jams. Motorbikes are narrow and can drive next to each other in a lane, or in-between lanes in low speeds.…