Travel Path Optimizer

Overview

The Route Optimizer Engine is designed to enhance route planning for logistics and transportation services. By integrating various critical parameters such as fuel capacity, driver hours, and real-time traffic data, this engine aims to optimize routes for efficiency and compliance with legal standards.

Features

Fuel Capacity Management

• Objective: Manage refueling needs based on vehicle fuel capacity and range.
• Implementation:
  • Fuel Capacity Consideration: This parameter does not directly translate into a route parameter for the TomTom API. Instead, potential refueling points are calculated based on the truck's fuel capacity and range.
  • Route Calculation: Determines when and where refueling should occur without significantly deviating from the optimal route.

Driver Hours Regulation

• Objective: Ensure compliance with legal driving hours and provide for mandatory rest periods.
• Implementation:
  • Hours of Service Compliance: Segments the route into multiple parts to ensure drivers operate within legal driving limits.
  • Rest Period Planning: Plans rest stops based on continuous driving time and remaining hours in the driver's schedule, incorporating these into the route planning.

Dynamic Route Planning

• Objective: Adjust routes dynamically in response to real-time data and predefined criteria.
• Implementation:
  • Real-time Data Integration: Integrates real-time traffic and weather data feeds to adjust routes dynamically, enhancing route accuracy and timeliness.
  • Continuous Re-routing: If conditions change (e.g., traffic jams, accidents), the engine recalculates the route in real-time to find the best alternative paths.

Database Integration

• Objective: Utilize a comprehensive database to support dynamic routing with updated real-world data.
• Implementation:
  • Data Storage: Integrates with a database that stores up-to-date information on traffic patterns, weather conditions, and available rest areas.
  • Data Utilization: Regularly accesses and updates this database to reflect current conditions in route planning.

Handling Specific Routing Parameters

• Objective: Manage routing parameters that are not directly supported by standard APIs.
• Implementation:
  • Custom Logic Implementation: For parameters like axle weight or turn radius that are not directly manageable through the TomTom API, custom logic is implemented to filter and evaluate feasible routes.
  • API Extension: Develop extensions or additional API layers to handle complex routing scenarios that involve multiple parameters.

Real-time Adjustments and Decision Making

• Objective: Allow for real-time route modifications based on changing conditions and inputs.
• Implementation:
  • Driver Inputs: Incorporate feedback or commands from drivers to adjust routes according to real-time needs or preferences.
  • Vehicle Status Monitoring: Monitor the status of the vehicle to adjust routes based on factors like unexpected vehicle performance issues or maintenance needs.

graph TD
  A[OptimizerRoute]
  B[findBestRoutes]
  C{Construct URL}
  D{Add Parameters}
  E{Logic to avoid high-traffic areas}
  F{Consider Fuel Stations}
  G{Handle refrigeration needs}
  H{Add axle weight logic}
  I{Handle driver hours}
  J{Avoid toll roads if no toll system}
  K[Send request to TomTom API]
  L[Handle response]
  M[findStationsAlongRoute]
  N[isStationAlongRoute]
  O[calculateDetour]

  A --> B
  B --> C
  B --> D
  B --> E
  B --> F
  B --> G
  B --> H
  B --> I
  B --> J
  B --> K
  B --> L
  F --> M
  M --> N
  E --> O

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classDiagram
    class RouteOptimizer {
        +OptimizerRoute(tomtom_api_key, from, to, driverHourThreshold, fuelCapacityThreshold, truck) RouteResponse
    }

    class RouteResponse {
        +routes: List<Route>
        +warnings: List<String>
    }

    class Truck {
        +Dimensions: Dimensions
        +Weight: int
        +Hazmat: boolean
        +RouteRestrictions: List<String>
        +TrafficPatterns: Map<String, String>
        +FuelCapacity: int
        +FuelStations: List<FuelStation>
        +Refrigeration: boolean
        +AxleWeight: List<int>
        +DriverHours: int
        +RestAreas: List<String>
        +TollSystem: String
    }

    class Dimensions {
        +Height: int
        +Width: int
        +Length: int
    }

    class FuelStation {
        +Location: String
        +FuelType: String
        +Price: float
    }

    RouteOptimizer --> RouteResponse
    RouteOptimizer --> Truck
    Truck --> Dimensions
    Truck --> FuelStation

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