Authors:
Evgeny Shevtsov, Denys Kostrinchuk, Yevgeni Tsirulnik, Andrei Khaitas
Abstract:
This invention provides a system and method for coordinating the navigation of multiple drivers to a single destination. By leveraging real-time traffic data, user preferences, and group coordination algorithms, the system generates individualized routes while ensuring the group achieves optimal efficiency in arrival timing, resource utilization, and congestion management.
The destination can either be:
- Dynamic: A flexible location determined based on factors such as traffic conditions, driver speeds, and predicted arrival times. This ensures that all drivers can reach the destination at the same time while dynamically adjusting the location to achieve optimal efficiency.
- Static: A fixed location, such as a warehouse or event venue.
Background:
Efficient navigation is critical for scenarios involving multiple drivers heading to a shared destination, such as delivery services, carpools, or coordinated events. Traditional navigation systems focus on individual routes without considering the interactions between multiple drivers, resulting in inefficiencies such as congestion at arrival points or poorly synchronized arrival times.
This invention addresses these inefficiencies by optimizing navigation for groups of drivers, taking into account factors such as real-time traffic, staggered arrival requirements, and driver-specific parameters. Additionally, it introduces the capability for the destination to be either static or dynamically adjusted based on real-time or predicted conditions, making it suitable for situations where a flexible meeting location is preferable.
Description:
The system comprises:
- Centralized Navigation Controller: A platform that collects real-time data from all participating drivers, including current locations, estimated time of arrival, and traffic conditions.
- Driver Profiles: Information such as vehicle type, speed preferences, and constraints (e.g., fuel efficiency, delivery time windows).
- Optimization Algorithms: Algorithms to calculate the best route for each driver, considering group objectives (e.g., staggered or simultaneous arrivals). This includes:
- Dynamic adjustment of the destination based on real-time traffic or predicted conditions to synchronize arrival times.
- Optimization for a meeting point when the destination is flexible, ensuring efficiency for all drivers.
- Communication System: A real-time update mechanism to relay navigation changes to drivers as conditions evolve.
Example Use Cases:
- Dynamic Destination: A group of drivers heading to an event venue. Based on current traffic and their respective speeds, the system dynamically selects an optimal meeting point—adjusting as conditions change—while ensuring all drivers arrive at the same time and the final destination remains consistent for the group.
- Static Destination: A group of delivery drivers must arrive at a single warehouse to load packages. The system calculates optimal arrival times to minimize congestion, assigns staggered arrival slots, and navigates each driver using real-time data.
Drawings/Diagrams:
- Dynamic Destination Diagram: A diagram showing multiple drivers starting from different locations and navigating to a dynamically selected meeting point. The meeting point is updated in real-time based on traffic conditions, ensuring all drivers arrive at the same time at an optimal and flexible final destination.
- Static Destination Diagram: A diagram illustrating multiple drivers navigating to a single, fixed location (e.g., a warehouse). Each driver’s route is optimized to ensure staggered arrival times and minimal congestion at the fixed destination.
Advantages:
- Improved coordination of multiple drivers to a shared destination.
- Flexibility to adapt to static or dynamic destination scenarios.
- Ensures synchronized arrival for dynamic destinations, improving efficiency.
- Reduced congestion at arrival locations for static destinations.
- Enhanced fuel efficiency and time management.
- Increased convenience for scenarios requiring dynamic decision-making.
Claims:
- A system for coordinating navigation of multiple drivers to a single destination by:
- Collecting and analyzing real-time traffic and location data.
- Generating and updating individualized routes for each driver based on group-level objectives.
- The method of optimizing routes includes:
- Synchronizing arrival times for all drivers when the destination is dynamically determined.
- Staggered arrival timing to minimize congestion for static destinations.
- Balancing fuel efficiency and travel time for each driver.
- Real-time recalibration based on evolving traffic or road conditions.
- Dynamic determination of a flexible destination based on group preferences and real-time or predicted data.
TGCS Reference 00403
