Destination-Deadline Request Filtering for On-Demand Dispatch
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Solution Overview
Problem
Service providers in on-demand networks are reluctant to go online or stay online when they have limited time due to fears that trips could lead them far away from desired destinations, such as home or work, leading to reduced system usage and increased waiting times for users.
Innovation Solution
A network computer system filters service requests based on a service provider's specified destination and deadline, ensuring the provider can arrive at the desired destination before the deadline by programmatically selecting and offering only relevant service invitations, thereby maintaining flexibility and control over scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If service providers are assigned trips without destination and deadline filtering, then system usage increases and waiting times decrease, but service providers cannot reach their desired destinations on time
Solution Approach 1:
The system performs preliminary filtering of service requests based on destination and deadline criteria before assigning them to service providers. This preliminary action ensures that only compatible requests are presented to providers, guaranteeing that assigned trips can reach desired destinations on time while maintaining high system usage.
Solution Approach 2:
The network computer system acts as an intermediary between service providers and service requests. It mediates the matching process by evaluating destination and deadline compatibility, thereby ensuring both high system usage and reliable deadline adherence without direct provider-requester negotiation.
2Productivity
If service providers go online with limited time constraints, then system usage increases, but providers risk being assigned trips that prevent them from reaching desired destinations
Solution Approach 1:
The system changes the parameter of request filtering from none to destination and deadline-based filtering. This allows providers to maintain scheduling control by specifying their desired destination and deadline, while the system automatically filters compatible requests, ensuring both high system usage and provider convenience.
3Reliability
If the network system filters requests by destination and deadline, then provider satisfaction increases, but system complexity increases
Solution Approach 1:
The filtering system operates autonomously using automated algorithms to evaluate destination and deadline compatibility. This self-service approach ensures reliable destination achievement without requiring complex manual intervention, thereby managing system complexity while maintaining high reliability.
4Reliability
If service providers are selectively invited based on filtering, then waiting times may increase, but provider reliability improves
Solution Approach 1:
The system performs preliminary filtering and pre-qualifies service requests before provider assignment. This preliminary action reduces the need for multiple rejection cycles, thereby minimizing user waiting time while ensuring that assigned providers can reliably meet deadlines and destination requirements.
Data Source
AI summary
A method and system for filtering service requests by destination and deadline are described. A network computer system receives provider data corresponding to a specified destination and a deadline from a service provider. The network computer system tracks a current location of the service provider through a device equipped with one or more location-based resources and receives request data corresponding to requests for service from users. The network computer system analyzes the request data for each of the requests for service to identify a subset of the requests that are assignable to the service provider based on whether the service provider is able to fulfill the request and travel to the desired destination before the deadline. The network computer system transmits a message to the service provider's device requesting that the service provider fulfill one of the requests for service from the identified subset.