Fairfax County, Virginia/Roads
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This will be a page to organize efforts to correct and update all roads in Fairfax County. In particular this will focus on the possibility of synchronizing Fairfax County Department of Transportation road centerline data with OSM.
Fairfax County DOT RCL
The road centerline (RCL) data from the county has rich metadata, including road classification, route number, speed limit, bridges, and more. The data can be downloaded from http://www.fairfaxcounty.gov/maps/metadata.htm (direct link to ZIP containing Shapefiles), and is considered in the public domain (per phone and email conversations by User:Joshdoe with the Fairfax County GIS and FCDOT offices). The data was last updated 2011/10/17. No mass import is planned, rather this data will be used to enhance the existing roadway in OSM through a manual process, perhaps supported by future conflation tools. The quality of this data is quite high, as it is used by county emergency services, tax collections, etc. Changes are updated within weeks or months, and the spatial accuracy seems to be within about 5 meters (often much better).
Replacing TIGER data
There is an effort underway to replace all unedited TIGER data in the county with this data. This is a tedious and meticulous process using JOSM that takes quite a bit of experience to perform correctly. If interested please leave a message on the talk page or claim a school in the table below.
Some notes from the first few areas (work in progress):
- Open latest OSM data and county data in JOSM
- Oftentimes highway=secondary and above roads will be edited, but large subdivisions of highway=residential may be totally unedited and have version 1 and user DaveHansenTiger (nodes will have user woodpeck_fixbot)
- In this case, delete the roads in the subdivision, ensuring to check for added intersections (driveways, paths), or edited nodes (highway=turning_circle), and select the relevant ways in the county layer, and merging to the OSM layer (Ctrl+Shift+M), then join to existing ways with the join tool (j) or merge tool (m)
| Elementary school | User | Finished | Notes |
|---|---|---|---|
| Clifton | User:Joshdoe | 2011-12-11 | |
| Deer Park | User:Joshdoe | 2012-01-04 | |
| Fairview | User:Joshdoe | 2011-12-09 | |
| Fort Belvoir | User:Joshdoe | 2011-12-27 | |
| Gunston | User:Joshdoe | 2012-01-04 | |
| Hayfield | User:JoshDoe | 2011-12-26 |
Fields
There are two columns for the field names. The ESRI GeoDatabase direct from Fairfax County DOT has the full names, while the Shapefile available online from the Fairfax County GIS office has the shortened names (limitation of the format).
| FCDOT Field | Shortened Field | Description | Mapping | Five most frequent values |
| AC_L_FROM_ADD | Address range (actual) | ? | ||
| AC_L_TO_ADD | Address range (actual) | ? | ||
| AC_R_FROM_ADD | Address range (actual) | ? | ||
| AC_R_TO_ADD | Address range (actual) | ? | ||
| AUTHORIZE_USE | ? | N/A | 0 (53056), AUTHORIZE_USE (1) | |
| BRIDGE | BRIDGE | bridge=yes/no | N (52492), Y (561), (3), BRIDGE (1) | |
| CFCC | TIGER Census Feature Class Code | ? | A41 (31543), A61 (9874), A45 (3425), A35 (1845), A25 (1708) | |
| DATA_SOURCE | ? | 4 (52504), 0 (266), 13 (169), 9 (110), 20 (7) | ||
| DIVIDED | Only use as reference | N/A | N, Y | |
| DRAW_SYMBOL | Similar to class? | N/A | 6 (42648), 5 (5021), 4 (2434), 7 (975), 1 (576) | |
| EFF_DATE | Date road entered database | ? | 2007/09/12 0:00:00 (42967), 2008/03/13 0:00:00 (1054), 2006/07/01 0:00:00 (948), 2008/04/25 0:00:00 (793), (762) | |
| FFX_CLASS | Fairfax Co specific class? | ? | LOC (45686), MAA (2819), MEA (1676), MIA (1193), (497) | |
| FULLNAME | FULLNAME | Name of street | name=* | OUTLET (1249), PARKING LOT (811), XXOVER (429), LEESBURG PIKE (316), LEE HWY (313) |
| FX_SOURCE | Particular FCDOT source? | ? | 100 (48089), 500 (2109), 230 (1592), 160 (568), 0 (348) | |
| GATE | ? | ? | 2, 0, 1 | |
| L_JURISDICTION | FCDOT/VDOT jurisdiction to left? | N/A | 4 (49673), 15 (1137), 8 (978), 17 (806), 18 (238) | |
| L_POSTAL_AREA | Similar to tiger:zip_left | N/A | 22003 (2371), 20170 (2064), 22079 (2058), 22101 (1989), 22015 (1868) | |
| LAST_UPDATE | Last update | ? | NULL (26145), 2011/03/17 15:10:04 (662), 2009/07/16 0:00:00 (556), 2011/03/17 15:10:03 (520), 2009/02/20 0:00:00 (484) | |
| LOW_WATER | Roads in danger of flooding? | ? | N (52974), Y (79), (3), LOW_WATER (1) | |
| MAINT_RES | Maintenance descriptor? | N/A | 5 (33125), 0 (19121), 1 (741), 4 (67), 8 (2) | |
| MAR_STREET_NAME_KEY | ? | ? | 0 (5773), 8041 (315), 8008 (313), 1473 (305), 4621 (295) | |
| ONEWAY | ONEWAY | oneway=yes | N, Y, B | |
| R_JURISDICTION | FCDOT/VDOT jurisdiction to right? | N/A | 4 (49673), 15 (1139), 8 (982), 17 (806), 18 (240) | |
| R_POSTAL_AREA | Similar to tiger:zip_right | N/A | 22003 (2323), 22079 (2056), 20170 (2022), 22101 (1995), 22030 (1870) | |
| ROAD_CLASS | ROAD_CLASS | Highway class | highway=* | LOC (41540), TER (4171), SEC (2165), PRI (1773), RMP (1020) |
| ROUTE_ALIAS | ROUTE_ALIA | Route number | ref=* | |
| RW_NAME | N/A | OUTLET (1252), PARKING LOT (812), XXOVER (429), LEE (353), LEESBURG (318) | ||
| RW_PREFIX | N/A | NULL (52729), N (134), S (84), E (58), W (51) | ||
| RW_SUFFIX | N/A | NULL (52187), SW (285), SE (219), NE (138), NW (121) | ||
| RW_SUFFIX_DIR | N/A | NULL (52193), WB (221), NB (217), EB (213), SB (212) | ||
| RW_TYPE_USPS | N/A | DR (11475), RD (11011), CT (6532), LN (4987), (4598) | ||
| SEGID | Unique segment ID | ? | 378466 (1), 378467 (1), 378464 (1), 378465 (1), 378463 (1) | |
| SPEED_LIMIT_CAR | SPEED_LIMI | maxspeed=* | ||
| STATUS | ? | N/A | B (52763), A (291), C (2), STATUS (1) | |
| TH_L_FROM_ADD | Address range (theoretical) | N/A | 0 (18704), 6001 (248), 6401 (244), 6101 (233), 6301 (233) | |
| TH_L_TO_ADD | Address range (theoretical) | N/A | 0 (18704), 6399 (216), 6599 (216), 6199 (211), 6699 (208) | |
| TH_R_FROM_ADD | Address range (theoretical) | N/A | 0 (14619), 6400 (254), 6000 (254), 6300 (246), 6100 (244) | |
| TH_R_TO_ADD | Address range (theoretical) | N/A | rerun script | |
| TIME_FACTOR | Indication of traffic flow? | N/A | ||
| TRANS_ID | Unique segment ID by FCDOT? | ? | 500046190 (1), 500046192 (1), 500046193 (1), 500046194 (1), 500046196 (1) | |
| VEHIC_MAX_HEIGHT | VEHIC_MAX_ | maxheight=* | ||
| VEHIC_MAX_LENGTH | maxlength=* | |||
| VEHIC_MAX_WEIGHT | VEHIC_MAX1 | maximum weight of vehicles in pounds | maxweight=* | |
| VEHIC_MAX_WIDTH | VEHIC_MA_1 | maxwidth=* | ||
| VEHIC_MIN_WIDTH | Minimum width?? | N/A | ||
ogr2osm translation file
Work in progress. Note the street suffixes are loaded from /Street suffixes.
# ogr2osm translation script to convert Fairfax County, Virginia, USA
# street centerline Shapefile
import string
import re
import csv
"""
Caveats and TODO:
Check highway classification for correctness, in particular:
* highway=service, service=parking_aisle may not always be correct
* highway=secondary_link may be primary_link, tertiary_link, etc.
* highway=unclassified may be better tagged as highway=residential
Names that have capitalized letters in the middle of a word need to be
fixed manually.
Street segments with identical tags should be merged.
Added the following to the USPS street suffix list:
CL,CIRCLE
NK,NOOK
CORR,CORRIDOR
CMNS,COMMONS
And remove the following (singular form more common):
PARK,PARKS
PKWY,PARKWAYS
SPUR,SPURS
WALK,WALKS
"""
def translateAttributes(attrs):
if not attrs: return
# load modified USPS street suffix abbrevation mapping (only once)
if not getattr(translateAttributes, "street_suffixes", False):
print "Loading USPS street suffixes"
translateAttributes.street_suffixes = {}
csvReader = csv.reader(open('street_suffixes.csv', 'rb'), delimiter=',')
for row in csvReader:
translateAttributes.street_suffixes[row[0]] = string.capwords(row[1])
tags = {}
fixme = []
# ROAD_CLASS should be defined for every feature
# not all will have names in OSM
named = {'LOC': 'unclassified',
'TER': 'tertiary',
'SEC': 'secondary',
'PRI': 'primary'}
unnamed = {'INT': 'motorway',
'PRK': 'service', # parking aisle, FIXME: but not always
'MRG': 'secondary_link', # FIXME: this might be other types of links, flag it?
'RMP': 'motorway_link',
'CRS': 'service', # crossover
'DRV': 'service', # driveway, inc. residential, commercial, etc.
'HWY': 'fcdot_HWY' # FIXME: possibly a bad value? in one case just a crossover, another should be primary
}
if attrs['ROAD_CLASS'] in named:
tags['highway'] = named[attrs['ROAD_CLASS']]
elif attrs['ROAD_CLASS'] in unnamed:
tags['highway'] = unnamed[attrs['ROAD_CLASS']]
else:
print "Unknown ROAD_CLASS"
return null
if attrs['ROAD_CLASS'] == 'PRK':
tags['service'] = 'parking_aisle'
elif attrs['ROAD_CLASS'] == 'DRV':
tags['service'] = 'driveway'
elif attrs['ROAD_CLASS'] == 'CRS':
tags['service'] = 'crossover'
# Assemble the name
if attrs['ROAD_CLASS'] in named and attrs['FULLNAME'] != 'OUTLET' and attrs['FULLNAME'] != 'PIPESTEM':
name = []
if attrs['RW_PREFIX']:
name.append(attrs['RW_PREFIX'])
if attrs['RW_NAME']:
name.append(string.capwords(attrs['RW_NAME']))
if attrs['RW_TYPE_US']:
name.append(translateAttributes.street_suffixes[attrs['RW_TYPE_US']])
if attrs['RW_SUFFIX']:
name.append(attrs['RW_SUFFIX'])
if name:
tags['name'] = " ".join(name)
else:
fixme.append('missing name on highway class that should have a name')
if attrs['BRIDGE'] == 'Y':
tags['bridge'] = 'yes'
if attrs['ONEWAY'] == 'Y':
tags['oneway'] = 'yes'
# all roads except the Interstates are state roads, so prefix with SR
if attrs['ROUTE_ALIA'] and attrs['ROAD_CLASS'] != 'INT':
tags['ref'] = 'SR %d' % (int(attrs['ROUTE_ALIA']))
elif attrs['ROAD_CLASS'] == 'INT':
# interstates aren't given names, but use the name component to set the ref
m = re.search('^(I|RT)(\d+)', attrs['FULLNAME'])
if m and m.group(1) == 'I':
tags['ref'] = 'I %d' % (int(m.group(2)))
elif m and m.group(1) == 'RT':
tags['ref'] = 'SR %d' % (int(m.group(2)))
else:
fixme.append('motorway without a ref')
if attrs['SPEED_LIMI']:
tags['maxspeed'] = '%d mph' % (int(attrs['SPEED_LIMI']))
if float(attrs['VEHIC_MAX_']) > 0:
tags['maxheight'] = '%.0f in' % (float(attrs['VEHIC_MAX_']))
if float(attrs['VEHIC_MAX1']) > 0:
tags['maxweight'] = '%.0f lbs' % (float(attrs['VEHIC_MAX1']))
if float(attrs['VEHIC_MA_1']) > 0:
tags['maxwidth'] = '%.0f in' % (float(attrs['VEHIC_MA_1']))
# fix some quirks
# outlets should be service, not unclassified
if attrs['FULLNAME'] == 'OUTLET' or attrs['FULLNAME'] == 'PIPESTEM':
tags['highway'] = 'service'
if fixme:
tags['fixme'] = ';'.join(fixme)
return tags