Last Map Update: Wed Apr 15 01:15:51 UTC 2026

Map Downloads here (you need to be logged in to github)

direct links:

IGPSPORT BSC300 / BSC300T Map Creator

This is a clone from https://github.com/adrianf0/bsc300_maps with an added CI step so github builds maps and ported to python for simpler math (no original code remains). If you are logged in to github you should be able to download the artifacts. Ping me if a map update is wanted or a country should be added (or fork the repo and trigger a CI run).

It is based on the description by CYMES source but the maps are heavily filtered and modified.

The idea is that we have up to date maps and not rely on the igpsport maps from 2023 and regions that are not officially available. Also, the maps are shit. If someone is interested, this are the maps that came preinstalled on my device. Only open the link on a performant browser (not on mobile).

Improvments:

Original iGPSPORT Map	New Map	OSM
cycleway is included in the maps but not rendered as it is too crowded	contains cycleway
random stuff included	inaccessible streets removed
from 2023	up to date

in cruiser:

Original iGPSPORT Map	New Map
includes a lot of random stuff making the file bigger (e.g. footway/sidewalks)	also not perfect, missing one road (highway=service and no bicycle=* tag, should be fixed in osm)
highly simplified	way better resolution
cycleway is useless as it is not rendered on the device (too crowded)	everything rendered

Map format

• Format is mapsforge
• Renderer on the BSC300:

  • anything you want green use landuse=grass (--modify-tags="landuse=something to =grass" or leisure=garden to landuse=grass)

  • it can only render some amount of roads/ways. Even the original maps are not rendered fully. Random roads are missing.

    • thats the reason why I filter extensively which ways to add.

  • Code on this repo does not use simplification-factor for zoom levels 13 and 14. Original uses some factor > 0.5 making the maps even smaller but less accurate

  • Supported tags (colors from night mode):

    • thick yellow line
      • primary
      • primary_link
      • trunk
      • trunk_link
    • less thick yellow
      • secondary
      • secondary_link
      • tertiary
      • tertiary_link
    • thin white line
      • cycleway
      • living_street
      • pedestrian
      • track
    • medium thick gray
      • residential
      • road
      • unclassified
      • service (destroys other stuff like living street?)

  • Not rendered tags examples (some are included in igpsport maps...):

    • path
    • footway
    • motorway
    • motorway_link
    • bridleway
    • construction

Usage

Run the tool with the following syntax:

python generate_map.py -i input_map_file.pbf -c DE -s 1200

• Input map files can be downloaded from Geofabrik.
• The output will be a .map file, automatically generated with the correct extension.
• The output filename must follow a specific format to be recognized by BSC300 firmware, it will be calculated in the script.

Output Filename Format

The filename should include:

• Country code
• 4-digit region code (see explanation below)
• Date in the format YYMMDD
• Coordinates in base36 Example: -o PL00002507043EJ20506N068 (for Poland)

Region Code Explanation

The 4-digit map version number in the filename actually represents a region within the given country.

• 0000 means the map covers the whole country.
• Other 4-digit codes correspond to specific regions (e.g., voivodeships in Poland).

Example: Poland Region Codes

Region	Example Filename
dolnośląskie	PL01002505163F423C01X01R
kujawsko-pomorskie	PL02002505163GN21A01N01K
łódzkie	PL03002505163H622Q01O01M
lubelskie	PL04002505163JF22U01M024
lubuskie	PL05002505163EY21Z01701U
małopolskie	PL06002505163HT24N01I01C
mazowieckie	PL07002505163HX21L02H02L
opolskie	PL08002505163GG23Y015019
podkarpackie	PL09002505163J424C01K01U
podlaskie	PL10002505163JE20L01J02B
pomorskie	PL11002505163GB20401W01I
śląskie	PL12002505163H524201901Q
świętokrzyskie	PL13002505163I723T01F017
warmińsko-mazurskie	PL14002505163HU20J02D01H
wielkopolskie	PL15002505163FQ21E02502P
zachodniopomorskie	PL16002505163EO20F01U024
Poland (whole)	PL00002505163E920007106D
Czech Republic	CZ00002505163DD24304G02J

Example Filenames by Country

Country	Example Filename
Argentina 🇦🇷	AR00002503171UZ3JT0DA0RX.map
Australia 🇦🇺	AU00002503174FN3BK1OB105.map
Austria 🇦🇹	AT00001111113BR26204W02L.map
Bosnia and Herzegovina 🇧🇦	BA00002503313FO29J02J02H.map
Bahrain 🇧🇭	GC00002503173RK2JU0G10BL.map
Belarus 🇧🇾	BY00002408073JS1YF06R066.map
Belgium 🇧🇪	BE000025031737923N02L022.map
Bolivia 🇧🇴	BO00002503281XI3BT07Z09C.map
Brazil 🇧🇷	BR00002503251UO32A0SV0QB.map
Malaysia 🇲🇾	MY00002503254WR3100CF04I.map
Bulgaria 🇧🇬	BG00002407153JK29V04B03C.map
Cambodia 🇰🇭	KH00002503174YE2VY03N03J.map
Canada 🇨🇦	CA00002311170EV08Z25I48I.map
Spain 🇪🇸	ES35001111112UA2LH03R024.map
Chile 🇨🇱	CL000025031718L3GW0R80WF.map
China 🇨🇳	CN00002503204G32141330UK.map
Colombia 🇨🇴	CO00002503171Q12VL0AS0CY.map
Croatia 🇭🇷	HR00002503173EA28C03T03T.map
Cyprus 🇨🇾	CY00002408273Q62HK01H00W.map
Czech Republic 🇨🇿	CZ00002503173DD24304C02J.map
Denmark 🇩🇰	DK00002503173AV1WT04I03N.map
Ecuador 🇪🇨	EC00002503171JM34P0AR04A.map
Egypt 🇪🇬	EG00002501033KQ2KL08L08G.map
Finland 🇫🇮	FI00002311173GN1E00940GP.map
France 🇫🇷	FR000025031732I23V09I096.map
Georgia 🇬🇪	GE00002503173V02AR04C02K.map
Germany 🇩🇪	DE000025031739H1ZQ05Z083.map
Greece 🇬🇷	GR00002502103I02CN06I05N.map
Guyana 🇬🇾	GY000025031722W30B03I04W.map
Hungary 🇭🇺	HU00002503173FY26904I032.map
India 🇮🇳	IN00002503174CK2HO0JC0JT.map
Indonesia 🇮🇩	ID00002503174TT31X0TL0AV.map
Ireland 🇮🇪	IE00002406252Z01YM032056.map
Israel 🇮🇱	IL00001111113QT2J901T03O.map
Italy 🇮🇹	IT000025031739Y27S07J09Z.map
Japan 🇯🇵	JP00002503175BH29D0JN0J8.map
Kazakhstan 🇰🇿	KZ00002503313Z11ZA0Q10HM.map
Kuwait 🇰🇼	GC00002503173RK2JU0G10BL.map
Kyrgyzstan 🇰🇬	KG00002503314DJ2BA06X03J.map
Lithuania 🇱🇹	LT00002502103IZ1Y503U034.map
Luxembourg 🇱🇺	LU000025031739D24Y00K00S.map
Malaysia 🇲🇾	MY00002503254WR3100CF04I.map
Montenegro 🇲🇪	ME00002503313HE2B201A01J.map
Mexico 🇲🇽	MX000025032512Y2JU0K00CN.map
North Macedonia 🇲🇰	MK000025041007X059004003.map
North Macedonia 🇲🇰	MK00002504103IO2C201V01G.map
Morocco 🇲🇦	MA00002311262UY2GM0A70BQ.map
Myanmar 🇲🇲	MM00002503174S02MX05R0CR.map
Netherlands 🇳🇱	AN000025031737T21J02J02Z.map
Norway 🇳🇴	NO00002311172X90ME0U61B6.map
New Zealand 🇳🇿	NZ000025021000Q3P46A80JX.map
Oman 🇴🇲	GC00002503173RK2JU0G10BL.map
Paraguay 🇵🇾	PY000025031721Y3I005L068.map
Peru 🇵🇪	PE00002503171QD35G08B0C6.map
Philippines 🇵🇭	PH000025031754P2S40930AR.map
Poland 🇵🇱	PL00002503173EJ20506N068.map
Portugal 🇵🇹	PT00002503172M02C80FW07V.map
Qatar 🇶🇦	GC00002503173RK2JU0G10BL.map
France 🇫🇷	FR940024071744O3J900E00D.map
Romania 🇷🇴	RO00002503173IH26U06404A.map
Saudi Arabia 🇸🇦	GC00002503173RK2JU0G10BL.map
Serbia 🇷🇸	RS00002412313HI28M03C03P.map
Singapore 🇸🇬	MY00002503254WR3100CF04I.map
Slovakia 🇸🇰	SK00002311173G525G042020.map
Slovenia 🇸🇮	SI00002311173E528002701Q.map
South Korea 🇰🇷	KR00002503205CJ2F804L04C.map
Spain 🇪🇸	ES00002503182ZW2AX08M070.map
Suriname 🇸🇷	SR000025031724L31Y03B039.map
Sweden 🇸🇪	SE00002503173CP1GK08H0J1.map
Switzerland 🇨🇭	CH000025031739G27903001Y.map
Tajikistan 🇹🇯	TJ00002503314CB2D904X03L.map
Thailand 🇹🇭	TH00002503174V42SE05J09V.map
Turkey 🇹🇷	TR00002503173M02C50CG060.map
Turkmenistan 🇹🇲	TM00002503313ZB2810CY0A7.map
Ukraine 🇺🇦	UA00002503173JK22Q0BN07O.map
United Arab Emirates 🇦🇪	GC00002503173RK2JU0G10BL.map
United Kingdom 🇬🇧	UK00002503172X41SZ09S0CC.map
Uruguay 🇺🇾	UY000025031724D3NK04606W.map
Uzbekistan 🇺🇿	UZ000025033144F28M0BM086.map
Venezuela 🇻🇪	VE00002503171VE2VQ08M0AE.map
Vietnam 🇻🇳	VN00002503174Y22QK0800A7.map

additional filename values

Looking at Austria https://en.wikipedia.org/wiki/States_of_Austria

Map names are the following E.g. Vienna: AT09002303103G026S009007

The following list is sorted by most northern point which matches the numbers

State Name	Country	state	date	3chars base36 westernmost point	3chars base36 northernmost point	3chars base36 west east size	3chars base36 north south size
Lower Austria	AT	0300	230310	3EW -> 4424	263 -> 2811	01O -> 60	01K -> 56
Upper Austria	AT	0400	230310	3DT -> 4385	26C -> 2820	01G -> 52	01A -> 46
Vienna	AT	0900	230310	3G0 -> 4464	26S -> 2836	009 -> 09	007 -> 07
Burgenland	AT	0100	230310	3FV -> 4459	26Y -> 2842	00R -> 27	019 -> 45
Salzburg	AT	0500	230310	3DE -> 4370	271 -> 2845	018 -> 44	012 -> 38
Styria	AT	0600	230310	3EC -> 4404	278 -> 2852	01O -> 60	016 -> 42
Tyrol	AT	0700	230310	3C5 -> 4325	27B -> 2855	01U -> 66	012 -> 38
Vorarlberg	AT	0800	230310	3BS -> 4312	27H -> 2861	00H -> 17	00P -> 25
Carinthia	AT	0200	230310	3DR -> 4383	27W -> 2876	01K -> 56	00Q -> 26

This is sorted by westernmost point, which also matches:

State Name	Country	state	date	3chars base36 westernmost point	3chars base36 northernmost point	3chars base36 west east size	3chars base36 north south size
Vorarlberg	AT	0800	230310	3BS -> 4312	27H -> 2861	00H -> 17	00P -> 25
Tyrol	AT	0700	230310	3C5 -> 4325	27B -> 2855	01U -> 66	012 -> 38
Salzburg	AT	0500	230310	3DE -> 4370	271 -> 2845	018 -> 44	012 -> 38
Carinthia	AT	0200	230310	3DR -> 4383	27W -> 2876	01K -> 56	00Q -> 26
Upper Austria	AT	0400	230310	3DT -> 4385	26C -> 2820	01G -> 52	01A -> 46
Styria	AT	0600	230310	3EC -> 4404	278 -> 2852	01O -> 60	016 -> 42
Lower Austria	AT	0300	230310	3EW -> 4424	263 -> 2811	01O -> 60	01K -> 56
Burgenland	AT	0100	230310	3FV -> 4459	26Y -> 2842	00R -> 27	019 -> 45
Vienna	AT	0900	230310	3G0 -> 4464	26S -> 2836	009 -> 09	007 -> 07

To get the exact values, latitude needs to be converted to web mercator projection. See parser.ipynb for the exact calculation steps

some graphs about the data:

https://manujedi.github.io/BSC300-Maps/f1-maxLon.html

https://manujedi.github.io/BSC300-Maps/f2-maxLat.html

https://manujedi.github.io/BSC300-Maps/f3-angleDiffLongitude.html

https://manujedi.github.io/BSC300-Maps/f4-angleDiffLatgitude.html