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trans-efficiency.py
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trans-efficiency.py
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import geojson
import json
import utils as utils
import random
import time
import urllib2
import requests
import xml.etree.cElementTree as et
import shapely
from shapely.geometry import shape, Polygon, Point
def csvToJSON(city):
basePath = '/Users/pranavramkrishnan/Desktop/Research/maps/static/data/' + str(city) +'/transportation/'
valuesToJSON = {}
PARKING_TIME = 0
modes = ['driving','transit']
for mode in modes:
values = open(basePath + mode+ '_values.csv', 'r')
values = values.readlines()
for val in values:
val = val.split(',')
#print mode,val
#if mode == 'transit':
# id1 = int(val[0])
# id2 = int(val[1])
# if val[2] != 'None' and val[3] != 'None':
# duration = float(val[2])
# distance = float(val[3])
# else:
# duration = None
# distance = None
# else:
id1 = int(val[0])
id2 = int(val[3])
if val[2] != 'None' and val[3] != 'None':
duration = float(val[6])
distance = float(val[7])
else:
duration = None
distance = None
if mode =='driving':
duration += PARKING_TIME
if mode =='transit':
duration += 10
if id1 in valuesToJSON:
if id2 in valuesToJSON[id1]:
valuesToJSON[id1][id2]['modes'][mode] = duration
else:
valuesToJSON[id1][id2] = {'modes':{mode:duration}}
else:
valuesToJSON[id1] ={id2: {'modes':{mode:duration}}}
if id2 in valuesToJSON:
if id1 in valuesToJSON[id2]:
valuesToJSON[id2][id1]['modes'][mode] = duration
else:
valuesToJSON[id2][id1] = {'modes':{mode:duration}}
else:
valuesToJSON[id2] = {id1:{'modes':{mode:duration}}}
maxValue = -100000
minValue = 1000000
finalJSON = {}
for id1 in valuesToJSON:
if id1 != 'ranges':
maxValue = -100000
minValue = 1000000
for id2 in valuesToJSON[id1]:
if id1 != id2:
driving = valuesToJSON[id1][id2]['modes']['driving']
transit = valuesToJSON[id1][id2]['modes']['transit']
if transit > 10.0:
value = driving/transit
else:
value = 0.0
if value > maxValue:
maxValue = value
if value < minValue:
minValue = value
valuesToJSON[id1]['max'] = maxValue
#print maxValue, minValue
maxRound = -10000
minRound = 100000
print maxValue
for id1 in valuesToJSON:
if id1 != 'ranges':
for id2 in valuesToJSON[id1]:
if id1 != id2 and id2 != 'max':
driving = valuesToJSON[id1][id2]['modes']['driving']
transit = valuesToJSON[id1][id2]['modes']['transit']
if transit > 10.0:
value = driving/transit
else:
value = 0.0
normalized = value / valuesToJSON[id1]['max']
roundedFinal = float("%.2f" % normalized)
roundedFinal = roundedFinal * 10
#print roundedFinal
#print value, maxValue, roundedFinal, normalized
else:
roundedFinal = 0.0
if roundedFinal > maxRound and roundedFinal <10.0:
maxRound = roundedFinal
if roundedFinal < minRound:
minRound = roundedFinal
if id1 in finalJSON:
finalJSON[id1][id2] = roundedFinal
else:
finalJSON[id1] ={id2: roundedFinal}
if id2 in finalJSON:
finalJSON[id2][id1] = roundedFinal
else:
finalJSON[id2] ={id1: roundedFinal}
finalJSON['ranges'] = {'efficiency': [minRound, maxRound]}
#print finalJSON
highest = -10
highestID = 0
lowest = 100000
edgeIds = [313,662,134,86,460,329,135,549,251,252,419,157,418]
for id1 in finalJSON:
if id1 != 'ranges':
total = 0
count = 0
for id2 in finalJSON[id1]:
if id1 in edgeIds:
finalJSON[id1][id2] = 2.0
if finalJSON[id1][id2] > 0.0:
total += finalJSON[id1][id2]
count+=1
if count ==0:
avg = total/len(finalJSON.keys())
else:
avg = total/count
if avg > highest and id1 not in edgeIds:
highest = avg
highestID = id1
if avg < lowest:
lowest = avg
finalJSON[id1]['avg'] = avg
finalJSON['best'] = highestID
print highestID
finalJSON['ranges']['avg'] = [lowest,highest]
jsonValues = json.dumps(finalJSON)
output_file = open(basePath + 'efficiency_values_drtr10.json','w')
output_file.write(jsonValues)
csvToJSON('Brooklyn')