Sensor-Based Delivery Routing for Building Access Point Location
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Solution Overview
Problem
Existing location determination and routing technologies are inefficient as they often route delivery drivers to the main entrance of buildings, where parking may not be available, leading to additional time and effort for drivers to find suitable locations for delivery within large complexes, causing inefficiencies and delays.
Innovation Solution
The use of sensor-based systems that track driver navigation and location within buildings, allowing for dynamic routing to optimize delivery routes by identifying more suitable locations such as parking lots or loading docks, based on real-time sensor inputs and historical data, to improve delivery efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drivers are routed to the main entrance of buildings using existing location determination technologies, then the routing process is simple and straightforward, but parking may not be available and additional time is required to find suitable delivery locations
Solution Approach 1:
The system performs preliminary actions by analyzing historical sensor data and delivery patterns before the driver arrives. It pre-determines the optimal delivery location within the building complex based on previous successful deliveries, parking availability, and building layout, then routes the driver directly to that location rather than the main entrance.
Solution Approach 2:
The system implements feedback by continuously collecting sensor data from mobile devices of delivery drivers and analyzing it against historical data. The routing system adjusts and optimizes delivery locations based on feedback from actual delivery outcomes, parking availability, and driver navigation patterns, improving routing accuracy over time.
2Measurement precision
If sensor-based tracking systems are implemented to monitor driver navigation, then optimal delivery locations can be identified, but the system complexity increases
Solution Approach 1:
The system achieves universality by using a mobile device's existing sensors (GPS, accelerometer, gyroscope, magnetometer) for multiple purposes: tracking driver location, analyzing navigation patterns, determining building entry points, and identifying optimal delivery locations. This multi-functional approach avoids adding dedicated complex tracking hardware.
Solution Approach 2:
The system implements self-service by utilizing the mobile device's own sensors and processing capabilities to perform tracking and analysis functions. The device itself generates and processes the data needed for routing optimization without requiring external dedicated monitoring infrastructure.
3Loss of time
If dynamic routing is used to optimize delivery routes based on real-time data, then delivery time is reduced, but more data processing and analysis are required
Solution Approach 1:
The system performs preliminary data processing by pre-analyzing historical sensor data and building delivery profiles before actual deliveries occur. It pre-processes raw sensor data into meaningful patterns and characteristics, so that real-time routing decisions can be made quickly based on pre-computed information rather than processing raw data from scratch during delivery.
Data Source
AI summary
Systems and methods are disclosed for location determination and dynamic routing. In one implementation, a first request corresponding to a first location identifier is received. The first request is assigned based on a location of a first device. A second location identifier is received in conjunction with a fulfillment of the first request and based on a perception of one or more access points by one or more sensors of the first device. The second location identifier is associated with the first location identifier. A second request corresponding to the first location identifier is received. The second request is assigned to the second device with respect to the second location identifier based on input(s) originating from sensor(s) of a second device and an association, with respect to the fulfillment of the first request, of the second location identifier with the first location identifier.