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System and Method to Optimize Traffic Around Autonomous Vehicle Schedules

IP.com Disclosure Number: IPCOM000246636D
Publication Date: 2016-Jun-23
Document File: 1 page(s) / 25K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system and method to alter traffic patterns to match itineraries or priorities of autonomous vehicles and collaboratively alter autonomous vehicles' operation to provide these opportunities (route, order, etc).

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System and Method to Optimize Traffic Around Autonomous Vehicle Schedules

Proposed is a system and method to alter traffic patterns to match itineraries or priorities of autonomous vehicles and collaboratively alter autonomous vehicles' operation to provide these opportunities (route, order, etc).

    Traffic lights are currently designed to optimize flow through them. However, in the case of autonomous vehicles, there is room to change the thinking on traffic optimization. It is possible that an autonomous vehicle is not in a hurry to get somewhere. Parking in an area may be expensive or full, and the vehicle may determine it is more cost efficient to drive for a while rather than park (e.g., parking may be $15/hour whereas driving in the city for an hour may only cost $5 in gas). What is needed is a method to group vehicles that are not in a hurry and alter the traffic flow based on those groups.

Operation: 1) Collect vehicle itineraries or priorities a) where vehicles have to be and by when b) vehicles priorities may vary based on owner (company, etc.) or other factors, in addition to the itinerary 2) Logically rank vehicles based on the itineraries and priority a) vehicles may be assigned logical ranks based on the information gathered in 1)

    b) ranks may be dynamically created based on the variance in data in 1) and the number
of vehicles in the area or projected to be in the area i) e.g., 4 vehicles that have 1 hour to get through an area, 7 have 30 minutes, and 2 have 15 minutes, could d...