scholarly journals INTEGRATION Large-Scale Modeling Framework of Direct Cellular Vehicle-to-All (C-V2X) Applications

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2127
Author(s):  
Mohamed M. G. Farag ◽  
Hesham A. Rakha ◽  
Emadeldin A. Mazied ◽  
Jayanthi Rao
Keyword(s):  
Los Angeles ◽  
Real Time ◽  
Large Scale ◽  
Transportation Systems ◽  
High Fidelity ◽  
Communication Model ◽  
Modeling Framework ◽  
Modeling Tools ◽  
Modeling Tool ◽  
Traffic Demand

The transportation system has evolved into a complex cyber-physical system with the introduction of wireless communication and the emergence of connected travelers and connected automated vehicles. Such applications create an urgent need to develop high-fidelity transportation modeling tools that capture the mutual interaction of the communication and transportation systems. This paper addresses this need by developing a high-fidelity, large-scale dynamic and integrated traffic and direct cellullar vehicle-to-vehicle and vehicle-to-infrastructure (collectively known as V2X) modeling tool. The unique contributions of this work are (1) we developed a scalable implementation of the analytical communication model that captures packet movement at the millisecond level; (2) we coupled the communication and traffic simulation models in real-time to develop a fully integrated dynamic connected vehicle modeling tool; and (3) we developed scalable approaches that adjust the frequency of model coupling depending on the number of concurrent vehicles in the network. The proposed scalable modeling framework is demonstrated by running on the Los Angeles downtown network considering the morning peak hour traffic demand (145,000 vehicles), running faster than real-time on a regular personal computer (1.5 h to run 1.86 h of simulation time). Spatiotemporal estimates of packet delivery ratios for downtown Los Angeles are presented. This novel modeling framework provides a breakthrough in the development of urgently needed tools for large-scale testing of direct (C-V2X) enabled applications.

scholarly journals INTEGRATION Large-scale Modeling Framework of Direct Cellular Vehicle-to-all (C-V2X) Applications

2021 ◽  
Author(s):  
Mohamed Farag ◽  
Hesham Rakha ◽  
EmadelDin Mazied ◽  
Jayanthi Rao
Keyword(s):  
Los Angeles ◽  
Real Time ◽  
Large Scale ◽  
Transportation Systems ◽  
High Fidelity ◽  
Communication Model ◽  
Modeling Framework ◽  
Modeling Tools ◽  
Modeling Tool ◽  
Traffic Demand

The transportation system has evolved into a complex cyber-physical system with the introduction of wireless communication and the emergence of connected travelers and connected automated vehicles. Such applications create an urgent need to develop high-fidelity transportation modeling tools that capture the mutual interaction of the communication and transportation systems. This paper addresses this need by developing a high-fidelity, large-scale dynamic and integrated traffic and direct cellullar vehicle-to-vehicle and vehicle-to-infrastructure (collectively known as V2X) modeling tool. The unique contributions of this work are (1) we developed a scalable analytical communication model that captures packet movement at the millisecond level; (2) we coupled the communication and traffic simulation models in real-time to develop a fully integrated dynamic connected vehicle modeling tool; and (3) we developed scalable approaches that adjust the frequency of model coupling depending on the number of concurrent vehicles in the network. The proposed scalable modeling framework is demonstrated by running on the Los Angeles downtown network considering the morning peak hour traffic demand (145,000 vehicles), running faster than real-time on a regular personal computer (1.5 hours to run 1.86 hours of simulation time). Spatiotemporal estimates of packet delivery ratios for downtown Los Angeles are presented. This novel modeling framework provides a breakthrough in the development of urgently needed tools for large-scale testing of Direct C-V2X enabled applications.

Real Time Simulation for High Fidelity Multibody Dynamics and Mechatronic Systems

2014 ◽  
Author(s):  
William Prescott
Keyword(s):  
Real Time ◽  
Multibody Dynamics ◽  
Large Scale ◽  
State Of The Art ◽  
High Fidelity ◽  
Implicit Integration ◽  
Mechatronic Systems ◽  
Vehicle Simulation ◽  
Current State ◽  
Time Simulation

This paper will investigate the use of large scale multibody dynamics (MBD) models for real-time vehicle simulation. Current state of the art in the real-time solution of vehicle uses 15 degree of freedom models, but there is a need for higher-fidelity systems. To increase the fidelity of models uses this paper will propose the use of the following techniques: implicit integration, parallel processing and co-simulation in a real-time environment.

Simulation of the Effects of Intermodal Transfer Penalties on Transit Use

1998 ◽  
Vol 1623 (1) ◽  
pp. 88-95 ◽  
Author(s):  
Rongfang Liu ◽  
Ram M. Pendyala ◽  
Steven Polzin
Keyword(s):  
Public Transportation ◽  
System Performance ◽  
Network Performance ◽  
Transportation Systems ◽  
Modeling Framework ◽  
Modeling Tools ◽  
Transit System ◽  
Analysis And Design ◽  
Transit Ridership ◽  
Study Results

In recent times, the planning, analysis, and design of intermodal transfer facilities have been receiving increasing attention as planners attempt to overhaul public transportation systems that are losing ground to the ubiquitous automobile. However, recent research indicates that modeling tools currently used in practice do not adequately account for the effects of transfer penalties on transit ridership and network performance. In an attempt to fill this research need, transit system performance is simulated under different scenarios of intermodal and intramodal transfers. Using a controlled experimental design, transit ridership and system performance are simulated within a traditional four-step travel modeling framework assuming a variety of network configurations characterized by different transfer scenarios. Results show that the presence of a transfer on a transit line can substantially reduce transit ridership and that the extent of this reduction is highly dependent on the type of transfer encountered, that is, whether the transfer is intermodal (across different modes) or intramodal (within the same mode). The implications of the study results on the planning of intermodal transit systems are discussed in detail.

scholarly journals Enhancing Mobility Based on Realistic Models for Vehicular Ad Hoc Networks

2021 ◽  
Vol 10 (4) ◽  
pp. 220-227
Author(s):  
Hariharasudhan V. ◽  
Vetrivelan P*
Keyword(s):  
Real Time ◽  
Vehicular Ad Hoc Networks ◽  
Network Reliability ◽  
Realistic Model ◽  
Mobility Model ◽  
Communication Link ◽  
Communication Model ◽  
Mobility Models ◽  
Traffic Demand ◽  
The Real

Creation and maintaining of the one-to-one communication link between the nodes in Vehicular Adhoc Networks are challenging. The model which is very much efficient for one particular scenario will not work at the same level of efficiency for another environment. The mobility of the nodes in the network plays a crucial role in establishing a reliable communication model in the VANETs. Analyzing the nature of mobility inside a particular network based on logical and historical data paves an efficient way in the routing of packets by predicting the best route and improve the quality of the network, reliability, and other performance in terms of serviceability. This paper aims to analyze the drawbacks of existing mobility models utilizing various network quality parameters by classifying them into microscopic and macroscopic mobility models. With the insight gained from the analysis, we propose two methodologies where the realistic model for the VANETs can be established. The models are architected with the help of the information provided by the Geographic information system. The conventional mobility models include excessive details such as road and street layouts, intersection with traffic signals, acceleration and deceleration, building, and other obstacles in a realistic mobility model, that requires prolonged time to design and optimize, it should complicate the simulation. Designing an effective, realistic mobility model is crucial. The key objectives of this proposal are to architect realistic VANETs mobility models by taking into account the real-time road environment and actual data according to the traffic demand and improving the real-time performance of VANETs

scholarly journals A Space-Time POD Basis Interpolation on Grassmann Manifolds for Parametric Simulations of Rigid-Viscoplastic FEM

2020 ◽  
Vol 318 ◽  
pp. 01043
Author(s):  
Orestis Friderikos ◽  
Marc Olive ◽  
Emmanuel Baranger ◽  
Dimitrios Sagris ◽  
Constantine N. David
Keyword(s):  
Real Time ◽  
Metal Forming ◽  
Large Scale ◽  
Space Time ◽  
Computational Time ◽  
High Fidelity ◽  
Grassmann Manifolds ◽  
Real Time Analysis ◽  
Time Basis ◽  
Proper Orthogonal

Parametric simulations of thermomechanical metal forming processes still remain computational costly and difficult due to inherent strong non-linearities. To this end, Reduced Order Models (ROMs) are introduced to decrease the computational time in large scale models and provide near-optimal solutions in acceptable times. ROMs based on the Proper Orthogonal Decomposition (POD) are usually capable of accurately reproducing the dynamics of high-fidelity FEM simulations and offer the potential for near real-time analysis. However, ROMs are not robust with respect to parameter changes and must often be rebuilt for each parameter variation. This work aims to interpolate ROM POD basis associated with a limited number of training points on Grassmann manifolds, so as to obtain a robust ROM corresponding to a target parameter. A novel Space-Time (ST) POD basis interpolation, where the reduced spatial and time basis are separately interpolated on Grassmann manifolds, is proposed. Good correlations of the ROM ST models with respect to their associated high-fidelity FEM counterpart simulations are found. Hence, application of the ROM adaptation method for near real-time metal forming simulations using off-line computed ROM POD databases can be possible.

scholarly journals City-Wide Eco-Routing Navigation Considering Vehicular Communication Impacts

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 290 ◽  
Author(s):  
Ahmed Elbery ◽  
Hesham Rakha
Keyword(s):  
System Performance ◽  
Large Scale ◽  
Penetration Rate ◽  
Transportation Systems ◽  
Pollutant Emissions ◽  
Market Penetration ◽  
Vehicular Communication ◽  
Traffic Demand ◽  
Realistic Communication ◽  
The Impact

Intelligent Transportation Systems (ITSs) utilize Vehicular Ad-hoc Networks (VANETs) to collect, disseminate, and share data with the Traffic Management Center (TMC) and different actuators. Consequently, packet drop and delay in VANETs can significantly impact ITS performance. Feedback-based eco-routing (FB-ECO) is a promising ITS technology, which is expected to reduce vehicle fuel/energy consumption and pollutant emissions by routing drivers through the most environmentally friendly routes. To compute these routes, the FB-ECO utilizes VANET communication to update link costs in real-time, based on the experiences of other vehicles in the system. In this paper, we study the impact of vehicular communication on FB-ECO navigation performance in a large-scale real network with realistic calibrated traffic demand data. We conduct this study at different market penetration rates and different congestion levels. We start by conducting a sensitivity analysis of the market penetration rate on the FB-ECO system performance, and its network-wide impacts considering ideal communication. Subsequently, we study the impact of the communication network on system performance for different market penetration levels, considering the communication system. The results demonstrate that, for market penetration levels less than 30%, the eco-routing system performs adequately in both the ideal and realistic communication scenarios. It also shows that, for realistic communication, increasing the market penetration rate results in a network-wide degradation of the system performance.

Methods for the Quantification of Salivary Cortisol and of a-amylase in Biosensors and Portable Devices

2018 ◽  
Vol 68 (12) ◽  
pp. 2857-2859
Author(s):  
Cristina Mihaela Ghiciuc ◽  
Andreea Silvana Szalontay ◽  
Luminita Radulescu ◽  
Sebastian Cozma ◽  
Catalina Elena Lupusoru ◽  
...  
Keyword(s):  
Real Time ◽  
Medical Practice ◽  
Salivary Cortisol ◽  
Clinical Studies ◽  
Large Scale ◽  
Psychological Research ◽  
Portable Devices ◽  
Salivary Amylase ◽  
Specificity And Sensitivity

There is an increasing interest in the analysis of salivary biomarkers for medical practice. The objective of this article was to identify the specificity and sensitivity of quantification methods used in biosensors or portable devices for the determination of salivary cortisol and salivary a-amylase. There are no biosensors and portable devices for salivary amylase and cortisol that are used on a large scale in clinical studies. These devices would be useful in assessing more real-time psychological research in the future.

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