Authors:
Evgeny Shevtsov, Yeshai Bouskila, Yevgeni Tsirulnik, Roman Tuchak
Abstract:
This invention provides a system and method for coordinating the navigation of multiple walkers to a single destination. By leveraging real-time pedestrian 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 convenience.
The destination can either be:
- Dynamic: A flexible location determined based on factors such as pedestrian conditions, walker speeds, and predicted arrival times. This ensures that all walkers can reach the destination at the same time while dynamically adjusting the location to achieve optimal efficiency.
- Static: A fixed location, such as a park, event venue, or meeting spot.
Background:
Efficient navigation is critical for scenarios involving multiple walkers heading to a shared destination, such as group gatherings, events, or coordinated activities. Traditional navigation systems focus on individual routes without considering the interactions between multiple walkers, resulting in inefficiencies such as uncoordinated arrival times or suboptimal meeting points.
This invention addresses these inefficiencies by optimizing navigation for groups of walkers, taking into account factors such as real-time pedestrian conditions, staggered arrival requirements, and walker-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 walkers, including current locations, estimated time of arrival, and pedestrian conditions.
- Walker Profiles: Information such as walking speed, preferences, and constraints (e.g., stamina, time windows for arrival).
- Optimization Algorithms: Algorithms to calculate the best route for each walker, considering group objectives (e.g., staggered or simultaneous arrivals). This includes:
- Dynamic adjustment of the destination based on real-time pedestrian conditions to synchronize arrival times.
- Optimization for a meeting point when the destination is flexible, ensuring efficiency for all walkers.
- Communication System: A real-time update mechanism to relay navigation changes to walkers as conditions evolve.
Example Use Cases:
- Dynamic Destination: A group of walkers heading to a group picnic. Based on current pedestrian conditions and their respective walking speeds, the system dynamically selects an optimal meeting point—adjusting as conditions change—while ensuring all walkers arrive at the same time and the final destination remains consistent for the group.
- Static Destination: A group of walkers must arrive at a fixed event venue, such as a park. The system calculates optimal arrival times to minimize waiting, assigns staggered arrival slots if needed, and navigates each walker using real-time data.
Drawings/Diagrams
Dynamic Destination Diagram: A diagram showing multiple walkers starting from different locations and navigating to a dynamically selected meeting point. The meeting point is updated in real-time based on pedestrian conditions, ensuring all walkers arrive at the same time at an optimal and flexible final destination.
Static Destination Diagram: A diagram illustrating multiple walkers navigating to a single, fixed location (e.g., a park). Each walker’s route is optimized to ensure staggered arrival times and minimal delays at the fixed destination.
Advantages:
- Improved coordination of multiple walkers to a shared destination.
- Flexibility to adapt to static or dynamic destination scenarios.
- Ensures synchronized arrival for dynamic destinations, improving efficiency.
- Reduced delays and waiting times for static destinations.
- Enhanced route efficiency and convenience for walkers.
- Increased practicality for scenarios requiring dynamic decision-making.
Claims:
- A system for coordinating navigation of multiple walkers to a single destination by:
- Collecting and analyzing real-time pedestrian and location data.
- Generating and updating individualized routes for each walker based on group-level objectives.
- The method of optimizing routes includes:
- Synchronizing arrival times for all walkers when the destination is dynamically determined.
- Staggered arrival timing to minimize delays for static destinations.
- Balancing walking distance and time for each walker.
- Real-time recalibration based on evolving pedestrian conditions.
- Dynamic determination of a flexible destination based on group preferences and real-time or predicted data.
TGCS Reference 00404
