Offshore HOS Routing Engine for Port-to-Port Day Cab Planning
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Solution Overview
Problem
The complexity of tracking driver states for offshore routes, especially when involving overseas destinations, makes it challenging for drivers to manage hours of service (HOS) compliance and route planning, particularly with constraints such as day cab tractor usage.
Innovation Solution
An hours of service engine is developed to automate the generation of offshore route plans, incorporating HOS feasibility checks and compliance with day cab tractor restrictions, using a computer system that includes a routing engine and feasibility systems to optimize routes and ensure compliance with HOS rules and store rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated HOS feasibility checks are implemented, then route planning complexity is reduced, but system complexity increases
Solution Approach 1:
An automated HOS feasibility check system acts as an intermediary between route planning requirements and driver operations. The system includes components that receive route plans, perform automated HOS compliance verification, and provide feasibility determinations without requiring drivers to manually track complex HOS regulations
Solution Approach 2:
The system segments the HOS compliance verification process into distinct functional components: route plan reception, HOS rule application, feasibility analysis, and result output. This modular segmentation allows each component to handle specific aspects of compliance checking independently, reducing the operational burden on drivers while maintaining systematic control
2Reliability
If comprehensive HOS feasibility checks are performed, then compliance accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary HOS feasibility checks during the route planning phase rather than during execution. By evaluating HOS compliance requirements before finalizing the route plan, the system ensures accurate compliance determination without causing time losses during actual driver operations
Solution Approach 2:
The system implements feedback mechanisms where HOS feasibility check results are communicated back to the route planning process. If a route plan fails HOS compliance verification, the feedback triggers route plan modifications or alternative evaluations, ensuring high compliance accuracy while streamlining the iterative planning process
3Reliability
If multiple feasibility checks are conducted, then route plan reliability improves, but computational complexity increases
Solution Approach 1:
The system performs multiple HOS feasibility checks at different stages of route planning, applying partial checks to initial route concepts and more comprehensive checks to finalized plans. This staged approach ensures high route plan reliability through multiple verification points while managing computational complexity by avoiding redundant full-scale analyses
Data Source
AI summary
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors perform certain functions: obtaining an input comprising a sequence of service locations; iterating through pairs of consecutive service locations of the service locations to determine when a port for the first service location is different from the port for the second service location; adding the port for the first service location and the port for the second service location; and iterating through hours of service (HOS) states of the offshore route; determining whether to add one or more additional HOS states in the offshore route; and resetting a cumulative drive time to zero for each offshore port-to-port service. Other embodiments are disclosed.