Real-time Carpool Routing for Dynamic Passenger Matching
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Solution Overview
Problem
Existing transportation networking services struggle to efficiently coordinate real-time carpooling, often requiring advance arrangements and not fully utilizing existing vehicle capacity.
Innovation Solution
A system and method for coordinating the matching of for-hire passenger vehicles with prospective passengers in real-time, by identifying transportation vehicle units currently en route or transporting other passengers and determining if they can accommodate additional passengers while minimizing delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advance arrangements are required for carpooling, then transportation coordination reliability is improved, but real-time responsiveness deteriorates
Solution Approach 1:
The system performs preliminary identification and evaluation of vehicles currently en route or transporting passengers, pre-assessing their capacity and route compatibility before a ride request is made. This allows the system to quickly match riders with suitable vehicles in real-time without requiring advance arrangements.
Solution Approach 2:
The system dynamically adjusts vehicle capacity utilization by identifying vehicles currently en route and determining if they can accommodate additional passengers. This dynamic approach allows real-time carpooling coordination while maintaining reliability through continuous monitoring of vehicle status and capacity.
2Productivity
If existing vehicle capacity is fully utilized, then productivity is improved, but device complexity deteriorates
Solution Approach 1:
The system makes existing vehicles multi-functional by enabling them to serve both their original purpose (transporting current passengers) and additional carpooling functions (transporting extra riders). This universal utilization increases productivity without requiring dedicated carpooling vehicles or complex separate coordination systems.
Solution Approach 2:
Vehicles currently en route effectively serve themselves as carpooling options by having their capacity and route information automatically identified and evaluated by the system. This self-service approach simplifies coordination complexity while maximizing vehicle utilization efficiency.
3Loss of time
If vehicles currently en route are utilized for additional passengers, then loss of time is reduced, but reliability deteriorates
Solution Approach 1:
The system changes the parameter of vehicle capacity utilization by determining if vehicles currently en route can accommodate additional passengers within their existing capacity constraints. This parameter adjustment reduces passenger wait time while maintaining service reliability through careful evaluation of vehicle capacity and route compatibility.
Solution Approach 2:
The system implements feedback mechanisms to continuously monitor vehicle status, capacity, and route information, ensuring that adding passengers to en route vehicles does not compromise transportation reliability. This feedback loop allows real-time adjustments to maintain service quality while reducing wait times.
Data Source
AI summary
A computing system determines that a transportation vehicle is transporting a first end user to a first destination location. Based on a set of factors, the system determines that a driver of the transportation vehicle is able to travel to a rendezvous location to rendezvous with a second end user while the transportation vehicle is progressing to the first destination location along an original route. The system determines an alternate route for the transportation vehicle to travel to the rendezvous location that satisfies the set of factors, and directs the driver of the transportation vehicle to the rendezvous location to rendezvous with the second end user along the alternate route.