Google llc (20240263954). Collective Vehicle Traffic Routing simplified abstract
Contents
Collective Vehicle Traffic Routing
Organization Name
Inventor(s)
David M. Barth of Seattle WA (US)
Collective Vehicle Traffic Routing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240263954 titled 'Collective Vehicle Traffic Routing
Simplified Explanation: The patent application describes a system and method for providing route and turn-by-turn directions based on estimates of current and future traffic conditions.
- The system allows a client device to request directions between two locations.
- The server identifies multiple routes between the locations and estimates travel times for each route segment based on vehicle volume data.
- It selects the route with the lowest estimated travel time and generates turn-by-turn directions for the client device.
Key Features and Innovation:
- Route and turn-by-turn directions based on real-time traffic estimates.
- Estimation of travel times using vehicle volume data.
- Selection of the fastest route for navigation.
Potential Applications:
- Navigation systems for vehicles.
- Traffic management and optimization.
- Location-based services for mobile devices.
Problems Solved:
- Inefficient route planning.
- Lack of real-time traffic information.
- Traffic congestion and delays.
Benefits:
- Reduced travel time.
- Improved navigation accuracy.
- Enhanced traffic flow and efficiency.
Commercial Applications: Optimized Route Navigation System for Vehicles: Enhancing navigation systems with real-time traffic data for efficient route planning and improved travel experiences.
Prior Art: Prior art related to this technology may include existing navigation systems that provide turn-by-turn directions but do not consider real-time traffic conditions for route optimization.
Frequently Updated Research: Research on improving traffic prediction algorithms and integrating data from various sources for more accurate travel time estimates could be relevant to this technology.
Questions about Route Optimization: 1. How does the system estimate travel times based on vehicle volume data? 2. What are the potential challenges in implementing real-time traffic data for route optimization?
Original Abstract Submitted
systems and methods provide a route and turn-by-turn directions based on estimates of current and future traffic along the route. a client device may request turn-by-turn directions between an initial and a final location. a server may identify a plurality of routes between the locations. each route of the plurality of routes may be divided into route segments. for each route segment of a particular route, the server may estimate a travel time. the travel time may be based on estimated vehicle volume data generated from information received from other vehicles. the server may estimate a total travel time for the particular route. the server may repeat this estimate for each of the plurality of routes between the locations and select the route with the lowest estimated travel time. based on the selected route, the server may generate turn-by-turn directions and transmit the directions to the client device for display.
