Maxime Guériau

Institut National des Sciences Appliquées de Rouen | INSA Rouen

Advances in Information and Communication Technologies (ICT) allow the transportation community to foresee dramatic improvements for the incoming years in terms of a more efficient, environmental friendly and safe traffic management. In that context, new ITS paradigms like Cooperative Systems (C-ITS) enable an efficient traffic state estimation and...

Advances in Information and Communication Technologies (ICT) allow the transportation community to foresee relevant improvements for the incoming years in terms of a more efficient, environmental friendly and safe traffic management and operations. In that context, new ITS paradigms like Cooperative Systems (C-ITS) enable an efficient traffic state...

Cooperative Intelligent Transportation Systems (C-ITS) are complex systems well-suited to a multi-agent modeling. We propose a multi-agent based modeling of a C-ITS, that couples 3 dynamics (physical, informational and control dynamics) in order to ensure a smooth cooperation between non cooperative and cooperative vehicles, that communicate with e...

Testing autonomous driving algorithms on mobile systems in simulation is an essential step to validate the model and prepare the vehicle for a wide range of (potentially unexpected and critical) conditions. Transferring the model from simulation to reality can be challenging because of the reality gap. Mixed-reality environments enable the evaluati...

Testing autonomous driving algorithms in simulation is es- sential to validate the model and prepare the vehicle for va- rious conditions. Transferring the model from simulation to reality is challenging due to the reality gap. Mixed-reality environments enable the evaluation of models on actual ve- hicles with limited financial and safety risks. T...

Acerola (Malpighia emarginata DC) is an exotic fruit that has a high agro-industrial potential. It is known to be rich in ascorbic acid, phenolic compounds, and carotenoid pigments. These nutrients make acerola one of the best sources of natural antioxidants, helping to prevent many conditions and delay aging. Acerola fruit is transformed into conc...

Testing autonomous driving algorithms on mobile systems in simulation is an essential step to validate the models and train the system for a large set of (possibly unpredictable and critical) situations. Yet, the transfer of the model from simulation to reality is challenging due to the reality gap (i.e., discrepancies between reality and simulatio...

L'entraînement des robots mobiles à la navigation auto-nome requiert la simulation de multiples scénarios variés auxquels le robot n'est pas habitué. Par conséquent, le transfert d'algorithmes de la simulation vers la réalité peut s'avérer risqué dû à l'écart entre la réalité et la simulation. Dans cet article, nous développons une première version...

Shared Mobility Systems (SMS) facilitate on-demand journeys using one or more transportation modes such as car-sharing, bike-sharing, or ride-sharing. As a result, SMS often face challenges such as finding suitable facility locations, efficient routing of shared vehicles, matching and re-distributing available resources with dynamic demands. Most e...

Recent research has shown the potential of using available mobile fog devices (such as smartphones, drones, domestic and industrial robots) as relays to minimize communication outages between sensors and destination devices, where localized Internet-of-Things services (e.g., manufacturing process control, health and security monitoring) are deliver...

Creating sustainable urban futures partly requires reducing car-use and transport induced stresses on the environment and society. New transport technologies such as autonomous vehicles are increasingly assuming prominence in debates about the transition toward sustainable urban futures. Yet, enormous uncertainties currently exist on how autonomous...

Enabling Ride-sharing (RS) in Mobility-on-demand (MoD) systems allows reduction in vehicle fleet size while preserving the level of service. This, however, requires an efficient vehicle to request assignment, and a vehicle rebalancing strategy, which counteracts the uneven geographical spread of demand and relocates unoccupied vehicles to the areas...

Variable Speed Limit (VSL) is a traffic control approach that optimises the mainstream traffic on motorways. Reinforcement Learning approach to VSL has been shown to achieve improvements in controlling the mainstream traffic bottleneck on motorways. However, single-agent VSL, applied to a shorter motorway segment, can produce a discontinuity in tra...

Connected and Autonomous Vehicles (CAVs) are expected to bring major transformations to transport efficiency and safety. Studies show a range of possible impacts, from worse efficiency of CAVs at low penetration rates, to significant improvements in both efficiency and safety at high penetration rates and loads. However, these studies tend to explo...

Mobility-on-Demand (MoD) systems offer a flexible mobility alternative to classical public transportation services in urban areas. However, a significant part of MoD vehicles operating time can be spent waiting empty or driving to reach new potential ride requests. Improving vehicle fleet operation is an extremely challenging problem, as the number...

Variable Speed Limit (VSL) is a traffic control approach that optimises the mainstream traffic on motorways. Reinforcement Learning approach to VSL has been shown to achieve improvements in controlling the mainstream traffic bottleneck on motorways. However, single-agent VSL, applied to a shorter motorway segment, can produce a discontinuity in tra...

Enabling Ride-sharing (RS) in existing Mobility-on-demand (MoD) systems allows to reduce the operating vehicle fleet size while achieving a similar level of service. This however requires an efficient vehicle to multiple requests assignment, which is the focus of most RS-related research, and an adaptive fleet rebalancing strategy, which counteract...

Autonomous cars controlled by an artificial intelligence are increasingly being integrated in the transport portfolio of cities, with strong repercussions for the design and sustainability of the built environment. This paper sheds light on the urban transition to autonomous transport, in a threefold manner. First, we advance a theoretical framewor...

Mobility-on-demand systems consisting of shared autonomous vehicles (SAVs) are expected to improve the efficiency of urban mobility through reduced vehicle ownership and parking demand. However, several issues in their implementation remain open, such as unifying the vehicle and ride-sharing assignment with rebalancing non-occupied vehicles. Furthe...

The monitoring and the surveillance of industrial and agricultural sites have become first order tasks mainly for security or the safety reasons. The main issues of this activity is tied to the size of the sites and to their accessibility. Thus, it seems nowadays relevant to tackle with this problem with robots, which can detect potential issues wi...

With increasing applications of reinforcement learning in real life problems, it is becoming essential that agents are able to update their knowledge continually. Lifelong learning approaches aim to enable agents to retain the knowledge they learn and to selectively transfer knowledge to new tasks. Recent techniques for lifelong reinforcement learn...

Multi-agent Reinforcement Learning (RL) is frequently used in large-scale autonomous systems to learn the behaviours that best suit the system's operating environment. Learning can take a significant amount of time during which an RL system's performance is necessarily suboptimal. Transfer learning (TL), a method of reusing knowledge which has been...

Reinforcement Learning (RL) is increasingly used to achieve adaptive behaviours in Internet of Things systems relying on large amounts of sensor data. To address the need for self-adaptation in such environments, techniques for detecting environment changes and re-learning behaviours appropriate to those changes have been proposed. However, with th...

Lorsqu’un système autonome évolue dans un environnement complexe, en partie inconnu ou dynamique, il n’est pas possible de fournir une représentation exhaustive a priori facilitant son processus de prise de décision ; cette représentation étant le résultat de l’interaction du système avec son environnement. Pour illustrer ce problème, nous considér...

Poster presentation for the on-going research project "Surpass: how shared autonomous cars will transform cities". Presented at the launch of ENABLE- a new research programme in Ireland which aims to connect communities with smart urban environments through the Internet of Things

Cooperative Intelligent Transportation Systems (C-ITS) are currently being widely deployed on the road network. However, the impact of such systems on traffic flow is still to be addressed, especially for advanced deployment phases (high number of connected and automated vehicles). In this context, the paper investigates the impacts assessment of C...

Development of intelligent behaviors for vehicles has to cope with rigorous specifications. Many tests are performed for verification, validation and a detailed study of resulting behaviors. In this workflow, testing algorithms with real vehicles is a cornerstone step in developing new intelligent features for future transportation systems. This st...

The monitoring and the surveillance of industrial and agricultural sites have become first order tasks mainly for security or the safety reasons. The main issues of this activity is tied to the size of the sites and to their accessibility. Thus, it seems nowadays relevant to tackle with this problem with robots, which can detect potential issues wi...

Dans un proche futur, les véhicules connectés et autonomes remplaceront nos véhicules actuels, et il sera nécessaire de repenser intégralement la mobilité. Le conducteur, avec ses lacunes, sera de plus en plus assisté, et un jour détrôné par un système embarqué, capable d'agir plus rapidement, tout en ayant une représentation plus précise et fiable...

We present a multi-agent based extension of a microscopic time continuous lane-based simulator designed to develop cooperative vehicle behaviors within a connected environment. We have chosen to extend the Multi-model Open-source Vehicular-traffic SIMulator (MovSim) which offers a complete traffic simulation platform. By integrating concepts coming...

,