Andres Ladino

Andres Ladino
Université Gustave Eiffel · Laboratoire d’Ingénierie Circulation Transport (LICIT)

Doctor of Engineering

About

18
Publications
1,566
Reads
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99
Citations
Introduction
I am a postdoctoral researcher in Automatic Control at the IFSTTAR Laboratory. My recent research interests include Networked Control Systems (NCS), Cyberphysical Systems (CPS), Intelligent Transportation Systems (ITS) and Artificial Intelligence (AI). Previously, I did my PhD at INRIA/CNRS with the NeCS team in development of Short-term Forecasting and estimation techniques for traffic variables. Currently, I work at LICIT group working on control techniques for connected and automated vehicles, in this team I develop traffic flow models, and traffic simulation algorithms for truck platoon strategies. I am also passioned about the Data Science community and the recent work developed around reproducible research. Fan of #rstats.
Additional affiliations
January 2018 - present
Université Gustave Eiffel
Position
  • PostDoc Position
September 2014 - December 2018
GIPSA-lab
Position
  • PhD Student
January 2012 - August 2014
Pontificia Universidad Javeriana
Position
  • Instructor
Education
September 2014 - March 2018
Université Grenoble Alpes
Field of study
  • Automatic Control
August 2009 - December 2011
Pontificia Universidad Javeriana
Field of study
  • Electronics
January 2003 - September 2008
Pontificia Universidad Javeriana
Field of study
  • Electronics

Publications

Publications (18)
Article
Full-text available
This paper presents a new concept for operating traffic management at a sizeable urban scale. The overall principle is to partition the network into multiple regions, where traffic conditions should remain optimal. Instead of monitoring the inflow, like for perimeter control, deviations in regional mean speed compared to a reference value are trans...
Conference Paper
Full-text available
The EU SCOOP@F project implements the deployment of these technologies and aims to perform assessment of intelligent systems that enable and promote communication at infrastructure and vehicle technology level in transportation systems. This communication protocol is designed to interact, broadcast and collect messages between participants of a net...
Chapter
Full-text available
Lane change maneuvers are main causes of traffic turbulence at highway bottlenecks. We propose a dynamic game framework to derive the system optimum strategy for a network of cooperative vehicles interacting at a merging bottleneck. Cooperative vehicles on the highway mainline seek for optimal strategies (i.e., whether and when to perform courtesy...
Preprint
Full-text available
Simulation-based traffic impact assessment studies of advanced technologies such as truck platooning need to be carried out to ascertain their benefits for traffic efficiency, safety and environment. To reduce uncertainty in the results of such simulation-based studies, the same simulation studies can be performed in different simulation software....
Article
Full-text available
A key question about cooperative vehicle longitudinal control is reactivity, which determines the future of road safety, and capacity. In adaptive cruise control (ACC), the controller adapts the speed of the vehicle to its immediate leader’s speed whereas, in the cooperative version (CACC), connectivity between the platoon equipped vehicles reduces...
Conference Paper
Full-text available
A dynamic game framework is put forward to derive the system optimum strategy for a network of cooperative vehicles interacting at a merging bottleneck with simplified vehicle dynamics model. Merging vehicles minimize the distance travelled on the acceleration lane in addition to the same cost terms of the mainline vehicles, taking into account the...
Preprint
Full-text available
We realized an analysis of the CACC data of the Volpe laboratory. We observe that the response times distributions are spreading when the distance to the leader and the position in the platoon increase. This leads us to question the connectivity inside those platoons.
Article
Full-text available
A dynamic game framework is put forward to derive the system optimum strategy for a network of cooperative vehicles interacting at a merging bottleneck with simplified vehicle dynamics model. Merging vehicles minimize the distance travelled on the acceleration lane in addition to the same cost terms of the mainline vehicles, taking into account the...
Conference Paper
Full-text available
In this work, a study considering fuel consumption and environmental effects is presented when platooning strategies are operated near merging areas (on-ramps), a consumption model that considers dynamic conditions on each one of the vehicles is calibrated from real data, and a suitable adaptation is provided to the platooning case to taking into d...
Article
Full-text available
Truck platooning has attracted substantial attention due to its pronounced benefits in saving energy and promising business model in freight transportation. However, one prominent challenge for the successful implementation of truck platooning is the safe and efficient interaction with surrounding traffic, especially at network discontinuities wher...
Article
Full-text available
Truck platooning has attracted substantial attention due to its pronounced benefits in saving energy and promising business model in freight transportation. However, one prominent challenge for the successful implementation of truck platooning is the safe and efficient interaction with surrounding traffic, especially at network discontinuities wher...
Article
Full-text available
In this paper, we consider the problem of joint reconstruction of flow and density in a urban traffic network using heterogeneous sources of information. The traffic network is modeled within the framework of macroscopic traffic models, where we adopt Lighthill-Whitham-Richards model (LWR) conservation equation characterized by a piecewise linear f...
Thesis
Full-text available
Centralization of work, population and economic growth alongside continued urbanization are the main causes of congestion. As cities strive to update or expand aging infrastructure, the application of big data, new models and analytics to better understand and help to combat traffic congestion is crucial to the health and development of our smart c...
Article
Full-text available
This paper addresses the problem of dynamic travel time (DTT) forecasting within highway traffic networks using speed measurements. Definitions, computational details and properties in the construction of DTT are provided. DTT is dynamically clustered using a K-means algorithm and then information on the level and the trend of the centroid of the c...
Conference Paper
Full-text available
This paper addresses the problem of travel time forecasting within a highway. Several measurements are captured describing travel times for multiple origin-destination (OD) pairs. A network model is then proposed to infer travel time between origin and destination based on a reduced number of states. The forecast strategy is based on current day an...
Conference Paper
Full-text available
In this article, a method for computing a control law for discrete linear systems with variable time delays using predictive tools and stability conditions is presented. The system is written as a switched system. A state feedback is then computed for each mode using predictive control. It is shown that a nonlinear optimization problem can be formu...

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Projects

Projects (3)
Project
Impact assessment of multi-brand platooning
Archived project