Skip to main content

A solver for real-time vehicle routing problems

Project description

Online-RTV

Installation

pip install rtv-solver

Code example

Initialize

from rtv_solver import OnlineRTVSolver

# Initialize the RTV solver with the URL of the OSRM server
online_rtv_solver = OnlineRTVSolver("http://127.0.0.1:50000/")

Check feasibility of time slots

payload = {
    "requests": [
    {
        'am': int,
        'wc': int,
        'time_windows' : [
            {'pickup_time_window_start': int, 'pickup_time_window_end': int, 'dropoff_time_window_start': int, 'dropoff_time_window_end': int,},
        ],
        'pickup_pt': {'lat': float, 'lon': float, 'node_id': int},
        'booking_id': int,
        'dropoff_time_window_start': int,
        'dropoff_time_window_end': int,
        'dropoff_pt': {'lat': float, 'lon': float, 'node_id': int}
    }],
    "driver_runs": driver_runs
}

feasibility = online_rtv_solver.check_feasibility(payload)


feasibility <-- [(feasible_window,vmt/pmt ratio)]

Generating a manifest

current_time = 5*3600+30*60 # 05:30:00 pm
driver_runs, unserved_requests = online_rtv_solver.solve_pdptw_rtv(new_payload)

unserved_requests <-- [list of ids of the requests that are not feasible to serve]

Fast option with Insertion Heuristic

driver_runs, unserved_requests = online_rtv_solver.solve_pdptw_heuristic(new_payload)

unserved_requests <-- [list of ids of the requests that are not feasible to serve]

Serve a request as soon as possible

new_payload = {
    "depot": {},
    "requests": [],
    "driver_runs": []
}

driver_runs, unserved_requests = online_rtv_solver.serve_asap(new_payload)

Simulate the vehicles

current_time = 5*3600+40*60+00 # Simulate to 05:40:00 pm
new_driver_runs = online_rtv_solver.simulate_manifest(current_time, driver_runs)

Regenerating a manifest

payload = {
    "driver_runs": driver_runs,
    "depot": depot
}

driver_runs = online_rtv_solver.resolve_pdptw_rtv(payload)

Get stats from the manifest

depot = {
    "pt": {"lat": val, "lon": val}
}

driver_runs <- generated driver runs

feasibility, stats = online_rtv_solver.get_stats(depot, driver_runs)

feasibility {true or false} <- Is this schedule feasibile

stats = {
    "vmt": ,
    "pmt": ,
    "serviced": ,
    "wait_time": [wait time for each request],
    "detour": [detour for each request]
}

Payload format

Common format

{
    
    'depot': {
        'loc': {'lat': float, 'lon': float, 'node_id': int}
    }, 
    'date': 'yyyy-mm-dd', 
    'driver_runs': [],
    'requests': []
    
}

Requests

{
    
    'requests': [ {
        'am': int,
        'wc': int,
        'pickup_time_window_start': int,
        'pickup_time_window_end': int,
        'pickup_pt': {'lat': float, 'lon': float, 'node_id': int},
        'booking_id': int,
        'dropoff_time_window_start': int,
        'dropoff_time_window_end': int,
        'dropoff_pt': {'lat': float, 'lon': float, 'node_id': int}
    }] 
    
}

DriverRun

{
    
    'DriverRun': [ {
        'state': {
            'run_id': int,
            'start_time': int,
            'end_time': int,
            'am_capacity': int,
            'wc_capacity': int,
            'locations_already_serviced': int,
            'locations_dt_seconds': int,
            'loc': {'lat': float, 'lon': float, 'node_id': int},
            'total_locations': int,
        },
        'manifest': Stop[list]
    }] 
    
}

Stop

{
    
    'Stop': [ {
        'run': int,
        'booking_id': int,
        'order': int,
        'action': string,
        'loc': {'lat': float, 'lon': float, 'node_id': int}
        'scheduled_time': int,
        'am': int,
        'wc': int,
        'time_window_start': int,
        'time_window_end': int,
    }] 
    
}

Set up the OSRM Server

wget https://download.geofabrik.de/north-america/us/north-carolina-latest.osm.pbf
docker run -t -v "${PWD}:/data" ghcr.io/project-osrm/osrm-backend osrm-extract -p /opt/car.lua /data/north-carolina-latest.osm.pbf || echo "osrm-extract failed"
docker run -t -v "${PWD}:/data" ghcr.io/project-osrm/osrm-backend osrm-partition /data/north-carolina-latest.osrm || echo "osrm-partition failed"
docker run -t -v "${PWD}:/data" ghcr.io/project-osrm/osrm-backend osrm-customize /data/north-carolina-latest.osrm || echo "osrm-customize failed"
docker run -t -i -p 5000:5000 -v "${PWD}:/data" ghcr.io/project-osrm/osrm-backend osrm-routed --algorithm mld /data/north-carolina-latest.osrm

Building

python -m build
twine upload dist/rtv_solver-[version]*

Input files

inputs/wilson folder contains the

inputs/wilson

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rtv_solver-0.1.35.tar.gz (31.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rtv_solver-0.1.35-py3-none-any.whl (41.6 kB view details)

Uploaded Python 3

File details

Details for the file rtv_solver-0.1.35.tar.gz.

File metadata

  • Download URL: rtv_solver-0.1.35.tar.gz
  • Upload date:
  • Size: 31.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.13

File hashes

Hashes for rtv_solver-0.1.35.tar.gz
Algorithm Hash digest
SHA256 d6264930173492c523a4e5350a46fa5f9cdb63255039c7f43ee56dbd59dc36e7
MD5 0297b945ddf7ca0f2b2fa834abcf7886
BLAKE2b-256 9dc8f50229609f6558ee886e86e6479b5798d59cbe7ead45ed5a238b702e665a

See more details on using hashes here.

File details

Details for the file rtv_solver-0.1.35-py3-none-any.whl.

File metadata

  • Download URL: rtv_solver-0.1.35-py3-none-any.whl
  • Upload date:
  • Size: 41.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.13

File hashes

Hashes for rtv_solver-0.1.35-py3-none-any.whl
Algorithm Hash digest
SHA256 b0a35874305f01eb6eb20702de5388ded0a8fc3988f864502e0cb7d15d92bf51
MD5 247253c1203e2d35854559bba279c5eb
BLAKE2b-256 a93c92d12fac13e016397330b8de7cd1b84e47a4c69aad433c20befea6a29ca8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page