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Urban Parking is a problem that costs time and energy. That is why intelligent parking is a field of research growing very quickly. In a city where no sensor infrastructure within each place is deployed but only a counting system at every intersection is available, we show that it still possible to propose an efficient method that determines an itinerary that minimizes the expected time to find an...
Semi-autonomous driving assistance systems have a high potential to improve the safety and efficiency of the battery electric vehicles that are enduring limited cruising range. This paper presents an ecologically advanced driver assistance system to extend the functionality of the adaptive cruise control system. A real-time stochastic non-linear model predictive controller with probabilistic constraints...
Increasing penetration of connected and automated vehicles on the road, which is expected in the near future, could lead to a complete transformation of surface transport. From the political perspective, there is an increasing expectation that this transformation would help make transport systems more efficient from an economic, environmental and social perspective. Researchers in the traffic community...
Driver behavior is a key factor in vehicle energy demand calculation required for vehicle optimization strategies and range calculations of electric vehicles. Thereby the vehicle speed resulting from the driver demand has a major influence on the energy consumption. Thus, if the individual speed profile of a driver can be predicted accurately, the energy demand of a vehicle for a given route can be...
Personalized driver models play a key role in the development of advanced driver assistance systems and automated driving systems. Traditionally, physical-based driver models with fixed structures usually lack the flexibility to describe the uncertainties and high non-linearity of driver behaviors. In this paper, two kinds of learning-based car-following personalized driver models were developed using...
This study is concerned with the higher order macroscopic traffic flow modeling and simulation of traffic flow on junctions. More precisely, we deal with a generic class of second order models, known in the literature as the GSOM family which embeds a large variety of traffic models. While classical approaches focus on the Eulerian point-of-view, here we recast the model using its Lagrangian coordinates...
In the process of reconstruction of traffic accident, it is very necessary to have a analysis of human body's biomechanics simulation. Starting from the traffic case, the injury caused by the airbag to the human head is discovered. Establish the finite element model of airbag and use the human head model established by team to have a simulation and analyze. The simulation results are basically consistent...
Estimation of the energy consumption rate for electric vehicles (EVs) plays a critical role in a variety of EV eco-driving applications and systems. As a result, quite a few studies have been dedicated to the development of estimation models. To improve the predictive and real-time performance of EV energy consumption rate estimation for eco-driving applications, we proposed herein a hybrid modeling...
Driving in developing cities presents numerous challenges. Traffic congestion and traffic accidents are the most visible challenges which are caused by different underlying factors. Two chief factors are poorly planned and maintained roadway infrastructure and the decisions made by the drivers. Drivers are constantly forced to negotiate road hazards, like potholes, unlabeled speed bumps as well as...
Cost, poor energy density and long charging time of batteries are a barrier to electro-mobility. Dynamic inductive power transfer is an effective technology able to overcome these limits. The paper presents the problem formulation, the methodology and the models for the analysis of the human exposure to the stray magnetic field with application to a light electric commercial vehicle.
Vehicles equipped with varying levels of automation and connection are starting to share the road with conventional vehicles. This provides new opportunities to design and test systems to control the acceleration dynamics of those equipped vehicles in mixed traffic environment contexts, with the global aim to globally reduce traffic congestion and increase traffic safety. Recent work has been focusing...
Spatial point process models are a commonly-used statistical tool for studying the distribution of objects of interest in a domain. We study the problem of deploying mobile robots as remote sensors to estimate the parameters of such a model, in particular the intensity parameter λ which measures the mean density of points in a Poisson point process. This problem requires covering an appropriately...
The economic feasibility and infrastructure optimization of in-motion wireless power transfer (WPT) in the U.S. is evaluated using dynamic vehicle models integrated with GPS stamped real world drive cycle data. Results show total vehicle level savings greater than the WPT electric vehicle (EV) purchase price with a societal level infrastructure payback time of 11.3 years at 25% fleet penetration for...
Conceiving a smart city is coming to maturity, to make less the problems produced by the swift urbanization. It mainly focuses on how to increase the quality and comfort of citizens by using information and communication technologies. That being said, make smart cities will offer a flamboyant metamorphosis for the success of cities' development, they propose a way adapted to the multitude of urban...
This paper analysis vibrations effect on the vital organs of the car driver sitting in the front and a female pregnant subject sitting in the rear of the car with the onboard Anti-lock Braking System (ABS). Nine degrees of freedom (DoF) full-car active suspension system, eleven degrees of freedom biodynamic models for each driver and pregnant subject and ABS model is taken into consideration in the...
Designing an urban environment involves a multitude of diverse principles, among which vehicle dynamics, pedestrian dynamics and telecommunications play a very important role. However, these are rarely considered together in studies for intelligent mobility. On top of that, optimising such a multi-disciplinary system is a very challenging task because of the number of principles and interfacing among...
Ensuring customer satisfaction within the automotive industry is a top priority. Primary concerns of satisfaction revolve around perceived comfort of entering and exiting vehicles. The ease of this task is attributed mostly to the design of the vehicles door frame however these are not tailored towards a specific gender. In this paper we present a biomechanical analysis-based gender assessment during...
The regulation of fuel consumption and emissions around the world is based on standard drive (SD) cycles. Several autonomous or simple eco-driving methods of smoother driving and smaller acceleration and braking can violate the ± 2 MPH speed deviation regulation from the SD and hence they are currently not counted towards the vehicle fuel economy, even though they are acceptable from a traffic pattern...
The research presented here is framed in the area of the design of Advanced Driving Assistance Systems (ADAS), carried out in the so-called automotive V-Cycle. In particular we concentrated our effort at the Model In the Loop (MIL) level. Indeed we developed an additional component for the fuel consumption evaluation at the MIL stage. The developed component has been based on the combination of a...
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