Presentation Title

HOW DOES AUTONOMOUS VEHICLE TECHNOLOGY LINK WITH LEVEL OF SERVICE ANALYSIS

Faculty Mentor

wen cheng

Start Date

18-11-2017 10:00 AM

End Date

18-11-2017 11:00 AM

Location

BSC-Ursa Minor 96

Session

Poster 1

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

Traffic flow theory has been developed and is based on the human-vehicle-environment relationship based on a vision controlled environment with humans gathering and processing information to adapt to changing situations. With the development of new vehicle technologies, the current traffic flow theory would need to be updated. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technology is slowly removing the sight based human factor in the driving experience by using advanced sensors, communication, and processing capabilities. With the development of fully autonomous vehicles, the human factor can be completely removed from the equation and traffic flow will no longer be restrained by human capabilities.

Two emerging technologies currently exist, Adaptive Cruise Control (ACC) and Coordinated Adaptive Cruise Control (CACC), which removes part of the human factor from the driving experience. These two technologies eliminate the human element by having a computer control the speed of a vehicle. A computer would use various sensors on the vehicle and calculate how fast or slow a vehicle should be. Currently, ACC technology is implemented in luxury vehicles and is advertised as convenience and safety technology while the CACC has been tested in several prototype vehicles. In both of these technologies, the computer is assisting the driver with the driving experience while the driver is able to take full control of the vehicle at any time. However, when humans fully trust the vehicle, the technology can reach its maximum potential and significantly reduce traffic congestion. Traffic flow theory based on future computer controlled environment should be investigated.

Keywords: Traffic flow; Vehicle-to-Vehicle; Vehicle-to-Infrastructure; Level of Service.

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Nov 18th, 10:00 AM Nov 18th, 11:00 AM

HOW DOES AUTONOMOUS VEHICLE TECHNOLOGY LINK WITH LEVEL OF SERVICE ANALYSIS

BSC-Ursa Minor 96

Traffic flow theory has been developed and is based on the human-vehicle-environment relationship based on a vision controlled environment with humans gathering and processing information to adapt to changing situations. With the development of new vehicle technologies, the current traffic flow theory would need to be updated. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technology is slowly removing the sight based human factor in the driving experience by using advanced sensors, communication, and processing capabilities. With the development of fully autonomous vehicles, the human factor can be completely removed from the equation and traffic flow will no longer be restrained by human capabilities.

Two emerging technologies currently exist, Adaptive Cruise Control (ACC) and Coordinated Adaptive Cruise Control (CACC), which removes part of the human factor from the driving experience. These two technologies eliminate the human element by having a computer control the speed of a vehicle. A computer would use various sensors on the vehicle and calculate how fast or slow a vehicle should be. Currently, ACC technology is implemented in luxury vehicles and is advertised as convenience and safety technology while the CACC has been tested in several prototype vehicles. In both of these technologies, the computer is assisting the driver with the driving experience while the driver is able to take full control of the vehicle at any time. However, when humans fully trust the vehicle, the technology can reach its maximum potential and significantly reduce traffic congestion. Traffic flow theory based on future computer controlled environment should be investigated.

Keywords: Traffic flow; Vehicle-to-Vehicle; Vehicle-to-Infrastructure; Level of Service.