OpenTollData

This format represents toll prices between two toll stations (closed system).

This format represents toll prices for open systems (flat fee).

This describes each toll booth, enriched with metadata coming from OpenStreetMap.

Contains utility scripts used to parse and process operator data and OSM data.

1. Select an operator

2. Create a .csv file for closed toll prices It must follow the structure:

   name_from,name_to,distance,price1,price2,price3,price4,price5 ...

3. Create a .csv file listing toll station names It must follow:

   All station names must be normalized using the following function:

   import re import unicodedata def normalize_name(s: str) -> str: if not s: return "" s = unicodedata.normalize("NFKC", s) s = "".join( c for c in unicodedata.normalize("NFD", s) if unicodedata.category(c) != "Mn" ) s = re.sub(r"[^A-Za-z0-9]", " ", s) s = re.sub(r"\s+", " ", s) s = s.strip() return s.upper()

   name is used as a unique primary key. Two different stations must never normalize to the same name.

4. Retrieve toll booths from OpenStreetMap

   You can use the request_overpass_turbo.py script with a query such as:

   [out:json][timeout:180]; area[name="France"][boundary=administrative][admin_level=2]->.searchArea; node["barrier"="toll_booth"]["operator"="AREA"](area.searchArea); out body; >; out skel qt;

5. Convert Overpass Turbo results into CSV

   Use overpass_request_out_to_csv.py to generate a CSV similar to:

   osm_name operator_ref lat lon nbs_booth booth_node_id Voreppe Barrière 3087 45.2831859 5.6216873 2 [126236, 136834] Moirans 3084 45.3200799 5.6075430 2 [137090, 258027361] Tullins 3095 45.2870178 5.5218684 2 [137232, 36715162]

6. Merge operator data with OSM data

   Use the script merge_overpass_data_with_operator_data.py to combine:

   • the station name list
   • the OSM toll booth CSV

   Example input:

   name ST MARTIN BELLEVUE A41 N ST PIERRE BELLEVILLE STE MARIE DE CUINES

   Example output:

   name;osm_name;operator_ref;lat;lon;nbs_booth;booth_node_id;booth_way_id;type;operator_osm ST QUENTIN FAL BRETELLE;;;;;;;;; ISLE D ABEAU CENTRE;L'Isle-d'Abeau Centre;3003;45.605103;5.2344726;2;[19224143, 267571099];;; BOURGOIN;Bourgoin;3004;45.5822626;5.3002391;2;[36713429, 261946952];;;

   Some entries may remain incomplete (name mismatch, complexity, etc.).

   Note: Some operator entries may represent special cases. For example, in AREA, _3400 SYSTEME OUVERT_ corresponds to no actual toll station, but indicates that the linked toll uses an open pricing system. In this case:

   • set type = open
   • add its price to the open price CSV

7. Manual refinement

   Use the OSM website or any mapping tool to:

   • identify missing IDs
   • validate booth locations
   • adjust metadata

   The final goal is to obtain three complete files:

   ✅ Open toll prices ✅ Closed toll prices ✅ Toll booth metadata (OSM-enriched)

8. Generate the aggregated JSON

   Use:

   This produces a JSON structured like price_format.json.

Some OSM ways may be used by multiple relations (and thus multiple possible prices). If you want to compute:

• the average toll cost per way
• the minimal toll cost per way

…you can use:

It outputs a CSV that can then be used to enrich a routing engine with cost estimates.