Intelligent Speed Advising Based on Cooperative Traffic Scenario Determination

2014 ◽  
pp. 77-92 ◽  
Author(s):  
Rodrigo H. Ordóñez-Hurtado ◽  
Wynita M. Griggs ◽  
Kay Massow ◽  
Robert N. Shorten
Keyword(s):  
Traffic Scenario

Influences of Uncertainties and Traffic Scenario Difficulties in a Human-in-the-Loop Simulation

2014 ◽  
Vol 22 (2) ◽  
pp. 179-193
Author(s):  
Nancy Bienert ◽  
Joey Mercer ◽  
Jeffrey R. Homola ◽  
Susan E. Morey ◽  
Thomas Prevot
Keyword(s):  
Human In The Loop ◽  
Traffic Scenario

scholarly journals CarLink: A Real-Time V2X Validation Platform for a Safe and Sustainable Mobility

2021 ◽  
Author(s):  
Babak Mafakheri ◽  
Pierpaolo gonnella ◽  
Barbara Masini ◽  
Alessandro Bazzi
Keyword(s):  
Short Range ◽  
Field Tests ◽  
Hardware In The Loop ◽  
Driver Assistance ◽  
Sustainable Mobility ◽  
Driver Assistance Systems ◽  
Laboratory Environment ◽  
Traffic Scenario ◽  
Assistance Systems ◽  
External Management

<div>In this article, we present CarLink, a new simulation platform with hardware-in-the-loop (HiL), designed and implemented to reduce the time spent on field tests through the emulation of a complex vehicular scenario in a controlled laboratory environment. Specifically, CarLink can simulate a generic traffic scenario and let each vehicle in it communicate with a vehicle under test (VUT), which is actually physically available HiL and equipped with long- and short-range wireless communication capabilities. Communication between simulated vehicles and the VUT is provided by an external management unit (EMU) that integrates the virtual word with the physical one. The architecture is also designed to allow the integration of advanced driver assistance systems (ADAS) testing for the validation of future connected and automated vehicles.</div>

A Fuzzy-Based Congestion Control Scheme for Vehicular Adhoc Network Communication

2021 ◽  
Vol 4 (1) ◽  
pp. 1-15
Author(s):  
Samuel Ibukun Olotu ◽  
Olumide Sunday Adewale ◽  
Bolanle Adefowoke Ojokoh
Keyword(s):  
Congestion Control ◽  
Ad Hoc ◽  
Power Transmission ◽  
Transmission Rate ◽  
Contention Window ◽  
Delivery Ratio ◽  
Self Organized ◽  
Traffic Scenario ◽  
Service Oriented ◽  
Parameter Values

Vehicular ad hoc network (VANET) is a self-organized, multi-purpose, service-oriented communication network that enables communication between vehicles and between vehicles and roadside infrastructures for the purpose of exchanging messages. In a dense traffic scenario, the message traffic may generate a load higher than the available capacity of the transmission medium leading to channel congestion problem. This situation leads to a rise in packet loss rates and transmission delay. Some existing congestion control schemes adapt the transmission power, transmission rate, and contention window parameters by making comparison with neighboring values through classical logic. However, the approach does not consider points between two close parameter values. This work uses fuzzy logic to improve the adaptation process of the network contention window parameter. The proposed scheme achieved a 15% higher in-packet delivery ratio and 10ms faster transmission compared with related work in terms end-to-end delay.

Exploring IoT-Enabled Smart Transportation System

2019 ◽  
pp. 186-202 ◽  
Author(s):  
Sushruta Mishra ◽  
Shikha Patel ◽  
Amiya Ranjan Ranjan Panda ◽  
Brojo Kishore Mishra
Keyword(s):  
Weather Conditions ◽  
Transportation System ◽  
Automated System ◽  
Smart Transportation ◽  
Parking Spot ◽  
Parking System ◽  
Traffic Scenario ◽  
Smart Parking ◽  
And Performance ◽  
Real Time Information

Internet of Things (IoT) is a platform that makes a device smart such that every day communication becomes more informative. A Smart Transportation system basically consists of three components which include smart roads, smart vehicles and a smart parking system. Smart roads are used to describe roads that use sensors and IoT technology which makes driving safer and greener. Smart parking system involves an automated system model that can assist the drivers in selecting the suitable parking spot for them. The data that the system collects will be sent for some analysis. It provides real time information to drivers about various aspects of transportation like weather conditions, traffic scenario, road safety, parking space, and many other things. A well-built Smart Transportation system reduces the risk of accidents, improves safety, increases capacity, reduces fuel consumption, and enhances overall comfort and performance for drivers. Our chapter deals with the in-depth discussion of these various aspects of a smart transportation system enabled with IoT technology.

The SYNCROMAX Solution for Air Traffic Flow Management in Brazil

2010 ◽  
pp. 23-37
Author(s):  
Antonio Pedro Timoszczuk ◽  
Walter Nogueira Pizzo ◽  
Giacomo Feres Staniscia ◽  
Eno Siewerdt
Keyword(s):  
Traffic Flow ◽  
System Architecture ◽  
Air Traffic ◽  
Flow Management ◽  
Air Traffic Flow Management ◽  
Implementation Phase ◽  
Air Traffic Flow ◽  
Traffic Flow Management ◽  
Traffic Scenario ◽  
Demand And Capacity

This chapter charts Brazil’s participation and strategy in dealing with Air Traffic Flow Management (ATFM). First a review of ATFM concepts is provided, where the demand and capacity balancing problem is defined. Afterwards the Brazilian air traffic scenario is laid out and a short history is presented. Finally, the SYNCROMAX system architecture is presented as defined for it’s first implementation phase. Internal details to the system are given and finally current directions indicate a higher level of decision making tools required in the future, in order to face the growing air navigation requirements.

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