Carpool Route Coordination for Curbside Pickup Seat Assignment

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Solution Overview

Problem

Current on-demand transportation services face safety issues due to passengers jaywalking or entering vehicles on the wrong side, as existing systems lack intelligent coordination for optimal pick-up and drop-off routes and seat assignments, leading to potential hazards.

Innovation Solution

A network computing system that uses sensor data from user devices and transport provider devices to track passenger positions within vehicles, optimize routes, and assign seats, ensuring passengers can enter and exit vehicles safely from the curb side, even in autonomous vehicles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the system optimizes routing to ensure curbside pick-ups and drop-offs, then passenger safety is improved, but route coordination complexity increases

Engineering Contradiction:
Improvepassenger safetyVSAvoidroute coordination complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system determines the optimal seat assignment in advance based on the pick-up location and vehicle route, ensuring that the correct seat will be available when the vehicle arrives at the curbside pick-up point. This preliminary planning avoids last-minute complications and ensures safe curbside access without adding operational complexity during the actual pick-up process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts seat assignments and route coordination based on real-time factors such as pick-up location, vehicle routing, and passenger proximity to points of interest. This dynamic optimization allows the system to adapt to changing conditions while maintaining passenger safety through curbside pick-ups, resolving the contradiction between safety and coordination complexity.

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If the system tracks passenger positions within vehicles using sensor data, then seating arrangement optimization is improved, but system complexity increases

Engineering Contradiction:
Improveseating arrangement optimizationVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system uses sensor data from user devices to automatically track passenger positions within the vehicle and dynamically adjust seat assignments. This self-service approach allows the system to optimize seating arrangements based on real-time passenger location data without requiring manual intervention, improving ease of operation while managing system complexity through automated processing.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system replaces manual seat assignment and tracking with automated sensor-based detection and computational optimization. By using sensor data from user devices to track passenger positions and automatically determine optimal seating arrangements, the system eliminates the need for manual coordination while improving seating optimization efficiency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If the system adjusts seating arrangements to ensure safe passenger entry and exit, then passenger safety is improved, but device complexity increases

Engineering Contradiction:
Improvepassenger safetyVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system determines the optimal seat assignment in advance based on the pick-up location and vehicle route, ensuring that the correct seat will be available when the vehicle arrives at the curbside pick-up point. This preliminary planning ensures safe curbside access without adding operational complexity during the actual pick-up process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses sensor data to continuously monitor passenger positions and provides feedback to the seat assignment algorithm, allowing it to adjust seating arrangements to ensure safe entry and exit. This feedback mechanism enables the system to optimize for passenger safety while managing device complexity through efficient data processing and automated decision-making.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11378408B2Route coordination and navigation based on user proximity to points of interest
Publication Date: 2022.07.05 UBER TECHNOLOGIES INC
  • US11378408B2 patent drawing
  • US11378408B2 patent drawing
  • US11378408B2 patent drawing

AI summary

A network computing system can receive transport requests from user computing devices of requesting users of an on-demand carpool service. The system can further receive sensor data from the user computing devices of each carpool passenger of a vehicle. Based on the sensor data, the system can determine a relative position of each carpool passenger within the vehicle, and based on the relative position of each carpool passenger within the vehicle, the system can transmit route data to a transport provider device of the vehicle to rendezvous with a next carpool passenger at an upcoming pick-up location such that an open seat within the vehicle is adjacent to the next carpool passenger.