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Travel Time Matrix API
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Shift Notifications for Temporary Work Platforms

Use Case

  • Send workers smarter notifications for upcoming shifts

Value

  • Help workers to arrive on time and reduce late arrivals and no-shows
  • Improve the worker UX

Customer Case study

Brigad logo
  • tick iconReduced poor matches by 18%
  • tick iconIncreased quality connection rate by 12%
  • tick iconReduced late withdrawals by 3x
Read customer storychevron icon
Grisha Ghukasyan

Grisha Ghukasyan

VP of Engineering at Brigad

“In order to improve our financial benefits, we had to improve the connection rate...all the missions that we don't connect are lost - and we don't make any money on it.


Until we started working with TravelTime, all we showed was kilometres and straight-line distance, and it was making people leave the app.”

Typical flow

shift notification flow chart

Sending requests

Request typePOST
Hostapi.traveltimeapp.com
Endpoint/v4/time-filter
AuthenticationApplication-Id
Api-Key

You can find your Application-Id and Api-Key by logging into your TravelTime account.

Or if you don't already have an account, then sign up for free access below.

Request body


{
  "locations": [
    {
      "id": "Shift Location",
      "coords": {
        "lat": 54.2389,
        "lng": -0.3975
      }
    },
    {
      "id": "Worker Home Location",
      "coords": {
        "lat": 54.2442,
        "lng": -0.4075
      }
    }
  ],
  "arrival_searches": [
    {
      "id": "Shift Notification",
      "arrival_location_id": "Shift Location",
      "departure_location_ids": [
        "Worker Home Location"
      ],
      "arrival_time": "2024-10-01T19:00:00",
      "travel_time": 14400,      
      "transportation": {
        "type": "public_transport"
      },
      "properties": [
        "travel_time",
        "route"
      ]
    }
  ]
}
          
Parameters:

locations - an array containing the IDs and lat-long coordinates of the worker's home location and the shift location

arrival_searches - travel times are calculated departing from the matched workers' home locations, travelling to the shift location

arrival_time - the desired arrival time at the shift, taking into account the shift start time

travel_time - this is a mandatory field that sets the maximum travel time, but in this case we can just set it as the maximum supported value (4 hours), as the route will always be less than this

transportation - the preferred transport mode selected by the worker on their profile

properties - the data point(s) to be calculated for each listing - here we include travel_time to return the total journey time, and route to return the turn-by-turn directions

Response body


{
  "results": [
    {
      "search_id": "Shift Notification",
      "locations": [
        {
          "id": "Worker Home Location",
          "properties": [
            {
              "travel_time": 849,
              "route": {
                "departure_time": "2024-10-01T19:45:51+01:00",
                "arrival_time": "2024-10-01T20:00:00+01:00",
                "parts": [
                  {
                    "id": 0,
                    "type": "start_end",
                    "mode": "walk",
                    "directions": "Start your journey 3 meters west",
                    "distance": 3,
                    "travel_time": 2,
                    "coords": [
                      {
                        "lat": 54.2442,
                        "lng": -0.4075
                      },
                      {
                        "lat": 54.24419420000009,
                        "lng": -0.4075458000000025
                      }
                    ],
                    "direction": "west"
                  },
                  {
                    "id": 1,
                    "type": "road",
                    "mode": "walk",
                    "directions": "Walk 42 meters along Plough Lane",
                    "distance": 42,
                    "travel_time": 30,
                    "coords": [
                      {
                        "lat": 54.24419420000009,
                        "lng": -0.4075458000000025
                      },
                      {
                        "lat": 54.24381080000001,
                        "lng": -0.4075534000000035
                      }
                    ],
                    "road": "Plough Lane"
                  }
          

travel_time - The total commute time

parts - The turn-by-turn directions

SDKs

NodeJS
Python

Installation

npm

npm i traveltime-api

This package comes with TypeScript support.

Usage

Client Initialization

Before starting, the package needs to be configured with your account's application ID and Key, which can be found in the TravelTime Developer Portal Dashboard. To create an instance - you will need to create new TravelTimeClient class object with credentials you got from dashboard.

import { TravelTimeClient } from 'traveltime-api';

const travelTimeClient = new TravelTimeClient({
  apiKey: 'YOUR_APP_KEY',
  applicationId: 'YOUR_APP_ID',
});

Time Filter Function


travelTimeClient.timeFilter({
  "locations": [
    {
      "id": "Shift Location",
      "coords": {
        "lat": 54.2389,
        "lng": -0.3975
      }
    },
    {
      "id": "Worker Home Location",
      "coords": {
        "lat": 54.2442,
        "lng": -0.4075
      }
    }
  ],
  "arrival_searches": [
    {
      "id": "Shift Notification",
      "arrival_location_id": "Shift Location",
      "departure_location_ids": [
        "Worker Home Location"
      ],
      "arrival_time": "2024-10-01T19:00:00",
      "travel_time": 14400,      
      "transportation": {
        "type": "public_transport"
      },
      "properties": [
        "travel_time",
        "route"
      ]
    }
  ]
}).then((data) => console.log(data))
  .catch((e) => console.error(e));
              

Installation

Install Travel Time Python SDK in a virtualenv using pip. virtualenv is a tool to create isolated Python environments.

virtualenv allows to install Travel Time Python SDK without needing system install permissions, and without clashing with the installed system dependencies.

Linux/Mac

pip3 install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install traveltimepy

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install traveltimepy

Sdk set up

In order to authenticate with Travel Time API, you will have to supply the Application Id and Api Key.

Takes:

  • app_id: str - Application Id
  • api_key: str - Api Key
  • limit_per_host: int - Number of simultaneous connections to one host.
  • rate_limit: int - Number of searches which can be made in a time window.
  • time_window: int - Duration, in seconds, of the time period in which to limit the rate.
  • retry_attempts: int - Number of retries for failed requests.
  • host: str - TravelTime host, default value is api.traveltimeapp.com.
  • timeout: int - Maximum session time until timeout. Default value is 300 (5 minutes).

from traveltimepy import TravelTimeSdk

sdk = TravelTimeSdk(app_id="YOUR_APP_ID", api_key="YOUR_APP_KEY")

Time Filter Function


import asyncio

from traveltimepy import Location, Coordinates, PublicTransport, Property, TravelTimeSdk


async def main():
    sdk = TravelTimeSdk("YOUR_APP_ID", "YOUR_APP_KEY")

    locations = [
        Location(id="Shift Location", coords=Coordinates(lat=54.2389, lng=-0.3975)),
        Location(id="Worker Home Location", coords=Coordinates(lat=54.2442, lng=-0.4075)),
    ]

    results = await sdk.time_filter_async(
        locations=locations,
        search_ids={
            "Worker Home Location": [
                "Shift Location",
            ],
        },
        arrival_time="2024-10-01T19:00:00",
        travel_time=14400,
        transportation=PublicTransport(),
        properties=[Property.TRAVEL_TIME, Property.ROUTE],
    )

    print(results)

asyncio.run(main())
              

FAQs

What is the performance like?
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The Travel Time Matrix Fast endpoint can calculate 100,000 travel times in under 150ms.

How accurate is your data?
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Our dedicated Data Team ensures our data is always fully up to date, and our Public Transport timetables are updated at least once a week. We build our Driving models from the ground up to replicate the drive times from Google Maps as closely as possible, and you can run benchmarks to compare our results to other providers using our Github Comparison Tool.
How reliable is the service?
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Our APIs never drop below 99.99% uptime - view the details on our live status page.
Where do you have coverage?
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We support driving, walking and cycling in 235 countries globally, with public transport data in over 110 countries. We publish exactly what public transport data we have in our interactive Coverage Tool.
How much will this cost?
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We never charge based on usage. Instead we offer unlimited usage licences for a fixed monthly fee. The only thing you need to decide is the maximum Requests Per Minute (RPM) you need.

Can I test out the endpoint for myself?
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You can test the full functionality of the Travel Time Matrix Fast endpoint in our API Playground. Once you've signed up for a TravelTime account, you can also use your API key for an unlimited 2 week trial.