AV Pickup Routing Using Passenger Position and Seat Coordination
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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 there is a lack of intelligent coordination between matching, routing, and passenger positioning, leading to dangerous pick-up and drop-off scenarios.
Innovation Solution
A network computing system that receives sensor data from user devices to track passenger positions within vehicles, optimizing routes and seat assignments to ensure passengers can enter and exit from the curb side, using inertial measurement unit data, Bluetooth localization, and other wireless signals to coordinate safe and efficient pick-ups and drop-offs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional on-demand transportation services match users with transport providers based solely on location and estimated time of arrival, then the matching process is simple and quick, but safety issues arise due to lack of coordination between matching, routing, and passenger positioning
Solution Approach 1:
The patent merges previously separate functions (matching, routing, and passenger positioning) into a coordinated system. The network computing system integrates sensor data from user devices with transport provider location data to simultaneously optimize matching decisions and safety considerations, ensuring passengers enter/exit from curb sides while maintaining efficient routing.
Solution Approach 2:
The system implements feedback by continuously receiving sensor data from user devices regarding passenger positions within vehicles. This real-time feedback loop allows the network computing system to adjust routing instructions dynamically, ensuring that passengers are positioned safely for entry and exit while maintaining overall system efficiency.
2Reliability
If the system optimizes routes and seat assignments to ensure passengers can enter and exit from the curb side, then safety is improved, but the computational complexity and data processing requirements increase
Solution Approach 1:
The system employs self-service mechanisms by automatically processing sensor data from user devices and generating optimized routing instructions without requiring manual intervention. The network computing system autonomously coordinates matching, routing, and passenger positioning decisions based on real-time data, reducing the need for human operators while maintaining high safety standards.
3Measurement precision
If sensor data from user devices is collected and processed to track passenger positions in real-time, then passenger positioning accuracy is improved, but data transmission and processing overhead increase
Solution Approach 1:
The patent leverages the multi-functionality of user devices by utilizing their existing sensors (accelerometers, gyroscopes, GPS) for multiple purposes: navigation, safety monitoring, and passenger positioning tracking. This approach avoids adding dedicated hardware while achieving precise passenger position tracking through intelligent processing of data already being collected by the devices.
4Productivity
If the network computing system coordinates matching, routing, and passenger positioning together, then overall system efficiency is improved, but the computational load and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal routing options and passenger positioning strategies during the matching phase. By anticipating future positioning needs and preparing routing instructions in advance, the system reduces real-time processing requirements while maintaining high coordination efficiency across all functions.
Data Source
AI summary
A system receives sensor data from computing devices of passengers riding in an autonomous vehicle (AV). Based on the sensor data, the system can determine a position of each of the passengers within the AV. The system determines a next passenger to be picked up by the AV. Based at least in part on the position of each of the passengers within the AV, the system can (i) select a pickup location for the next passenger, and (ii) determine a route for the AV based on the pickup location such that an open seat within the AV is adjacent to the next passenger when the AV arrives at the pickup location for the next passenger. The system can transmit data corresponding to the route to enable the AV to update a current route in order to facilitate a rendezvous with the passenger at the pickup location.