scholarly journals A Coupled Model to Simulate Snow Behavior on Roads

2006 ◽  
Vol 45 (3) ◽  
pp. 500-516 ◽  
Author(s):  
Ludovic Bouilloud ◽  
Eric Martin
Keyword(s):  
Decision Making ◽  
Numerical Model ◽  
Good Accuracy ◽  
Coupled Model ◽  
Snow Layer ◽  
The Road ◽  
Snow Model ◽  
On The Road ◽  
Water Saturated ◽  
Decision Making Tool

Abstract To develop a decision-making tool for road management in winter, a numerical model resulting from the coupling of a soil model and a snow model was developed and validated using experimental results from a comprehensive experimental field campaign during three winters (1997/98, 1998/99, and 1999/2000). The coupling of the models has been done through an implicit calculation of the conduction flux between snow and road. An equivalent thermal resistance has been used to take into account the different road–snow interface configurations. For this purpose, a parameterization of water-saturated snow was introduced. This model permits the simulation of the snow behavior on a road, and it takes into account different interfacial configurations according to snow and road types and the snowpack evolution (freezing, melting, grain type). Comparisons of experimental and simulated results for typical snowfall events or over the entire winter showed that the model was able to simulate road surface temperature, snow occurrence on the road, and snow-layer evolution with good accuracy.

scholarly journals On the Road to Holistic Decision Making in Adaptive Security

2013 ◽  
Vol 3 (8) ◽  
pp. 59-64 ◽  
Author(s):  
Mahsa Emami-Taba ◽  
Mehdi Amoui ◽  
Ladan Tahvildari
Keyword(s):  
Decision Making ◽  
Adaptive Security ◽  
The Road ◽  
On The Road

scholarly journals On the Road to Holistic Decision Making in Adaptive Security

2013 ◽  
Vol 3 (8) ◽  
pp. 59-64 ◽  
Author(s):  
Mahsa Emami-Taba ◽  
Mehdi Amoui ◽  
Ladan Tahvildari
Keyword(s):  
Decision Making ◽  
Adaptive Security ◽  
The Road ◽  
On The Road

Game Theory-Based Framework for Modeling Human–Vehicle Interactions on the Road

2020 ◽  
Vol 2674 (9) ◽  
pp. 701-713
Author(s):  
Yalda Rahmati ◽  
Alireza Talebpour ◽  
Archak Mittal ◽  
James Fishelson
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Ground Truth ◽  
Realistic Model ◽  
Shared Environment ◽  
The Road ◽  
Interactive Behavior ◽  
Interactive Decision Making ◽  
Decision Making Framework ◽  
On The Road

New application domains have faded the barriers between humans and robots, introducing a new set of complexities to robotic systems. The major impediment is the uncertainties associated with human decision making, which makes it challenging to predict human behavior. A realistic model of human behavior is thus vital to capture humans’ interactive behavior with their surroundings and provide robots with reliable estimates on what is most likely to happen. Focusing on operations of connected and automated vehicles (CAVs) in areas with a high presence of human actors (i.e., pedestrians), this study creates an interactive decision-making framework to predict pedestrians’ trajectories when walking in a shared environment with vehicles and other pedestrians. It develops a game theoretical structure to approximate the movement and directional components of pedestrian motion using the theory of Nash equilibria in non-cooperative games. It also introduces a novel payoff structure to address the inherent uncertainties in human behavior. Ground truth pedestrian trajectories are then used to calibrate the game parameters and evaluate the model’s performance in approximating the motion decisions of human agents in interaction with interfering vehicles and pedestrians. The main contribution of the study is to develop an interactive human–vehicle decision-making framework toward realizing human–vehicle coexistence by capturing the effect of pedestrian–vehicle and pedestrian–pedestrian interactions on choice of walking strategies. The derived knowledge could be used in CAV navigation algorithms to provide the vehicle with more accurate predictions of pedestrian behavior, and in turn, improve CAV motion planning in human-populated areas.

More obstacles on the road to unification

2007 ◽  
Vol 30 (1) ◽  
pp. 41-41 ◽  
Author(s):  
Eric Alden Smith
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Real World ◽  
Institutional Constraints ◽  
Historical Contingency ◽  
Behavioral Sciences ◽  
The Road ◽  
On The Road

The synthesis proposed by Gintis is valuable but insufficient. Greater consideration must be given to epistemological diversity within the behavioral sciences, to incorporating historical contingency and institutional constraints on decision-making, and to vigorously testing deductive models of human behavior in real-world contexts.

scholarly journals Road Surface Condition Forecasting in France

2009 ◽  
Vol 48 (12) ◽  
pp. 2513-2527 ◽  
Author(s):  
L. Bouilloud ◽  
E. Martin ◽  
F. Habets ◽  
A. Boone ◽  
P. Le Moigne ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Initial Conditions ◽  
Meteorological Data ◽  
Surface Condition ◽  
Road Surface ◽  
Snow Layer ◽  
Surface Conditions ◽  
The Road ◽  
Road Surface Temperature ◽  
On The Road

Abstract A numerical model designed to simulate the evolution of a snow layer on a road surface was forced by meteorological forecasts so as to assess its potential for use within an operational suite for road management in winter. The suite is intended for use throughout France, even in areas where no observations of surface conditions are available. It relies on short-term meteorological forecasts and long-term simulations of surface conditions using spatialized meteorological data to provide the initial conditions. The prediction of road surface conditions (road surface temperature and presence of snow on the road) was tested at an experimental site using data from a comprehensive experimental field campaign. The results were satisfactory, with detection of the majority of snow and negative road surface temperature events. The model was then extended to all of France with an 8-km grid resolution, using forcing data from a real-time meteorological analysis system. Many events with snow on the roads were simulated for the 2004/05 winter. Results for road surface temperature were checked against road station data from several highways, and results for the presence of snow on the road were checked against measurements from the Météo-France weather station network.

From skyhooks to walking sticks: On the road to nonrational decision making

1982 ◽  
Vol 11 (2) ◽  
pp. 40-58 ◽  
Author(s):  
Neil McK. Agnew ◽  
John L. Brown
Keyword(s):  
Decision Making ◽  
The Road ◽  
On The Road

To cross or not to cross: A closer look at children’s decision-making on the road

2021 ◽  
Vol 149 ◽  
pp. 1-11
Author(s):  
Kevin Y.K. Leung ◽  
Becky P.Y. Loo ◽  
K.L. Tsui ◽  
F.L. So ◽  
Ellen Fok
Keyword(s):  
Decision Making ◽  
The Road ◽  
On The Road

Return to Driving

2019 ◽  
pp. 155-158
Author(s):  
David L. Brody
Keyword(s):  
Decision Making ◽  
Visual Impairment ◽  
Cardiac Arrhythmia ◽  
Loss Of Consciousness ◽  
Source Information ◽  
Physical Impairments ◽  
The Road ◽  
Specialized Service ◽  
Financial Consequences ◽  
On The Road

Return to driving decision-making can be challenging because the risks of driving need to be balanced with the effects on autonomy and financial consequences. Obtain confidential collateral source information given that the patient may not be aware of his or her own deficits. Assess for definite contraindication including seizures, other cause of intermittent unpredictable loss of consciousness (e.g., sleep attacks, cardiac arrhythmia), performance impairing medications, visual impairment including peripheral fields, psychosis, severe impulsivity, poor decision-making, and physical impairments. Consider an on-the-road driving assessment performed by occupational therapy or a specialized service.

scholarly journals Towards a Decision-Making Algorithm for Automatic Lane Change Manoeuvre Considering Traffic Dynamics

2016 ◽  
Vol 28 (2) ◽  
pp. 91-103 ◽  
Author(s):  
Sajjad Samiee ◽  
Shahram Azadi ◽  
Reza Kazemi ◽  
Arno Eichberger
Keyword(s):  
Decision Making ◽  
Environmental Conditions ◽  
Lateral Position ◽  
Lane Change ◽  
Lateral Movement ◽  
Traffic Dynamics ◽  
The Road ◽  
Road Friction ◽  
On The Road ◽  
Novel Algorithm

This paper proposes a novel algorithm for decision-making on autonomous lane change manoeuvre in vehicles. The proposed approach defines a number of constraints, based on the vehicle’s dynamics and environmental conditions, which must be satisfied for a safe and comfortable lane change manoeuvre. Inclusion of the lateral position of other vehicles on the road and the tyre-road friction are the main advantages of the proposed algorithm. To develop the lane change manoeuvre decision-making algorithm, first, the equations for the lateral movement of the vehicle in terms of manoeuvre time are produced. Then, the critical manoeuvring time is calculated on the basis of the constraints. Finally, the decision is made on the feasibility of carrying out the manoeuvre by comparing the critical times. Numerous simulations, taking into account the tyre-road friction and vehicles’ inertia and velocity, are conducted to compute thecritical times and a model named TUG-LCA is presented based on the corresponding results.

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