This API provides structured access to traffic congestion data for major cities in Germany, leveraging real-time and historical insights. The API enables developers to extract the list of all tracked German cities and fetch detailed traffic data for any city by name. This includes average congestion levels, time lost in traffic, peak traffic periods, and more. It is ideal for applications in urban planning, logistics, travel advisories, and data analytics platforms. The API is designed with flexibility in mind, supporting simple parameter-based queries to tailor the data output per city.
{
"cities_found": [
{
"rank": 1,
"city": "Berlin"
},
{
"rank": 2,
"city": "Frankfurt am Main"
},
{
"rank": 3,
"city": "Leipzig"
},
{
"rank": 4,
"city": "Hamburg"
},
{
"rank": 5,
"city": "Munich"
},
{
"rank": 6,
"city": "Dusseldorf"
},
{
"rank": 7,
"city": "Nuremberg"
},
{
"rank": 8,
"city": "Stuttgart"
},
{
"rank": 9,
"city": "Dresden"
}
],
"total_cities_found": 9
}
curl --location --request POST 'https://zylalabs.com/api/8216/germany+traffic+analysis+api/14061/get+german+cities' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
{
"city_name": "Berlin",
"average_travel_time_per_10_km": 29,
"unit": "min"
}
curl --location --request POST 'https://zylalabs.com/api/8216/germany+traffic+analysis+api/14065/get+average+travel+time+per+10+km+by+city' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"city":"Required"}'
{
"city": "Berlin",
"change": 19,
"unit": "s"
}
curl --location --request POST 'https://zylalabs.com/api/8216/germany+traffic+analysis+api/14070/get+traffic+change+by+city' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"city":"Required"}'
{
"city": "Berlin",
"time_in_rush_hour_per_year": 84
}
curl --location --request POST 'https://zylalabs.com/api/8216/germany+traffic+analysis+api/14075/get+time+in+rush+hour+per+year+by+city' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"city":"Required"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Germany Traffic Analysis API provides data on average congestion levels, time lost in traffic, peak traffic periods, and more for major cities in Germany.
The API returns traffic data in a structured format, typically JSON, which allows for easy integration and manipulation of the data.
The API can be used for urban planning, logistics optimization, travel advisories, and data analytics platforms to enhance decision-making related to traffic management.
Developers can tailor the data output by using simple parameter-based queries to specify the city name and the type of traffic data they wish to retrieve.
The traffic data includes fields such as city name, average congestion level, estimated time lost in traffic, and peak traffic periods, allowing for detailed analysis.
This endpoint returns the average travel time required to cover 10 kilometers in a specified German city. The response includes the city name, average travel time in minutes, and the unit of measurement.
This endpoint provides data on the increase or decrease in traffic time for a specified city. The response includes the city name, the change in traffic time in seconds, and the unit of measurement.
The response is structured in JSON format, containing the city name and the total time spent in rush hour per year, expressed in hours. This allows for easy parsing and analysis of rush hour data.
Each endpoint requires the name of a German city as a parameter. Users can obtain a list of available cities from the "get german cities" endpoint to ensure valid input.
The response includes fields such as "rank" (indicating the city's rank based on traffic data) and "city" (the name of the city). This helps users identify and select cities for further traffic data queries.
If no data is available, the API may return an empty result or a specific message indicating the lack of data. Users should implement error handling to manage such scenarios gracefully in their applications.
The API allows users to analyze various traffic data types, including average travel times, traffic changes, and rush hour durations, providing insights into congestion patterns and traffic flow in German cities.
Urban planners can use the traffic data to identify congestion hotspots, assess the impact of infrastructure changes, and optimize traffic management strategies, ultimately improving urban mobility and reducing travel times.
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