
Atypical Curves
Description
Description
Our "Atypical Curves" API allows you to qualify the risk profile of turns located in extra-urban areas, on a selected territory. Anticipate the works to be done before accidents happen.
Leveraging DDI expertise in data science, this atypical curve API helps you to identify curves concentrating atypical behavior from drivers: curves where drivers have been surprised, where they haven't properly assessed the trajectory or the proper speed, and where near miss events occurred.
Want to know more? Have a look at our Safer Roads range of services:
Product sheet
Product sheet
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Benefits
Benefits
You can identify curves which require a thorough analysis on the field, which wouldn't have necessarily been detected by leveraging only crash data and accident reports.
You can rank curves on your territory thanks to Michelin DDI indicator (assessing the risk profile of the curve and correlated with crash data) : as a consequence, you can analyze on the field with your teams the potential root causes and prioritize the corrective actions to put in place whether it is a road signage conception or broader environment issue - and you effectively reduce the risk by improving the infrastructure, minimizing near misses and such preventing road accidents.
If you wish to go further, our Driving Events at Intersection API allows you to get a closer look at your intersections’ safety while our Harsh Acceleration and Harsh Braking APIs can give you information on how to pin point the exact risky locations within your network.
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Dataset Features Definition
Dataset Features Definition
Title | Description | Type |
---|---|---|
id | Curve unique identifier | string |
geometry | Set of GPS coordinates to map the curve location | object |
risk | Curve risk level (from 0-low to 1-high) | float64 |
curveLength | Curve length | float64 |
Quick Start guide
Quick Start guide
Prerequisites
An active account either with " Freemium " subscription (number of requests is limited to 5), or a " Business " subscription to the selected service.
Use of the APIs
The use of all our APIs is subject to the use of a user token. To obtain this token, it is necessary to authenticate by an API call.
The authentication allows to get the user token which will be requested in all the API calls.
The url to use: https://api.ddi.michelin.com/ddi/auth/token
Input parameters:
- grant_type: Type of grant. The only accepted value is “client_credentials”.
- client_id: Your customer id. You can find it in your account page (sample: zbQZOqNEAlKuL[…truncated sample..]0K07AyOk).
- client_secret: Your secret password. You can find it in your account page (sample: BZGn8fZu[…truncated sample…]).
Sample using Curl:
curl –-location --request POST 'https://api.ddi.michelin.com/ddi/auth/token'\
--header 'Content-Type: application/x-www-form-urlencoded'\
--header 'Accept: application/json'\
--data-raw 'grant_type=client_credentials&client_id= zbQZOqNEAlKuL[…truncated sample..]0K07AyOk&client_secret= BZGn8fZufqXXXXXX'
Then, the token must be added in the header of the request:
curl --location --request GET 'https://api.ddi.michelin.com/risky_turns/turns?distance=1&long=3.05167&lat=45.9153'\
--header 'Accept: application/json'\
--header 'Content-Type: application/json'\
--header 'Authorization: Bearer eyJraWQiOiJxMXl2M[…truncated sample…] EnWxN67fggh1Q'
Sample using Swagger:
1. Select POST /ddi/auth/token and click on “Try it out”
2. Fill in the input parameters specified above
3. Execute to get your token within the response as below:
{
"token": "eyJraWQxMXl2[…truncated sample…]nWxN67fggh1Q"
}
4. Select the “Authorize” button on the top right corner of the Swagger:
5. Copy and paste the token in the field before validating.
The token will then be automatically used in all API requests.
Pricing
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