Dynamic Bus Schedule Revision for Unplanned Service Disruptions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies for managing the operation of multiple vehicles, such as circulating buses, lack efficiency in adapting to unplanned events, leading to potential disruptions in service and adverse effects on the operation schedule.
Innovation Solution
A server-based system that stores and manages the operation schedule of circulating buses, judges whether predetermined conditions are met during unplanned events, and revises the schedule to introduce additional buses into the circulation route only when necessary, thereby minimizing disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the operation schedule is rigidly maintained without revision, then schedule stability is preserved, but service reliability deteriorates when unplanned events occur
Solution Approach 1:
The operation schedule is transformed from a static, rigid plan to a dynamic, adjustable framework. The server continuously monitors bus positions and operational status, automatically revising the schedule in real-time when unplanned events occur. This dynamic adjustment mechanism maintains service reliability by adapting to changing conditions while preserving overall schedule structure.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the server receives real-time status information from buses, judges whether unplanned events have occurred, and automatically revises the schedule accordingly. This feedback loop ensures that schedule revisions are triggered only when necessary, maintaining both reliability and controlled adaptability.
2Reliability
If additional buses are frequently introduced into the circulation route, then service coverage is improved, but operational complexity increases
Solution Approach 1:
The server pre-identifies and prepares additional buses that can be introduced into the circulation route when needed. By having standby buses ready and pre-coordinating their introduction, the system can rapidly expand service coverage without the complexity of ad-hoc bus deployment. The base maintains a pool of prepared buses for quick deployment.
Solution Approach 2:
The system implements automated schedule revision and bus deployment management through the server, which independently monitors conditions, makes judgment calls about unplanned events, and executes schedule revisions without manual intervention. This self-service approach reduces operational complexity by eliminating the need for human operators to manually coordinate each bus introduction.
3Reliability
If the server continuously monitors and revises the operation schedule, then service reliability is improved, but computational load increases
Solution Approach 1:
The server performs continuous monitoring but only executes full schedule revisions when unplanned events are detected through automated judgment. During normal operation, the system maintains a lighter computational state, checking for events but not continuously optimizing the schedule. This partial action approach maintains reliability through monitoring while reducing unnecessary computational energy consumption.
Data Source
AI summary
An operation management method for managing a plurality of circulating buses, each circulating bus being introduced into a circulation route from a base and returning to the base to be switched with another circulating bus after traveling a specified number of laps, includes storing, by a server, an operation schedule of the plurality of circulating buses, judging, by the server, whether a predetermined condition is satisfied when a predetermined event not planned in the operation schedule occurs, and revising, by the server, the operation schedule to introduce an additional circulating bus into the circulation route from the base when it is judged that the predetermined condition is satisfied.