def exp_9():
net = DataFixer.load("../networks/exps/exp9/net.json")
fn = '../networks/exps/exp9/flowdata.csv'
net.solve_with_data(fn)
for link in net.get_links():
print link, link.v_flow.value, link.v_dens.value
net.realize()
net.dump('../networks/exps/exp9/bignetstate.json')
def exp_9_next():
net = DataFixer.load('/Users/jdr/Documents/github/commroute/python/networks/exps/exp9/bignetstate.json')
net.cache_props()
for source in net.sources:
for sink in net.sinks:
routes = net.od_routes[source,sink]
print '\n\n'
print 'o', source, 'd', sink
for route in routes:
print net.route_travel_time(route) / net.ff_travel_time(route)
def exp_9_hist():
import pylab
net = DataFixer.load('/Users/jdr/Documents/github/commroute/python/networks/exps/exp9/bignetstate.json')
net.cache_props()
for link in net.get_links():
if link.congestion_level() < -1.0:
print 'bad 1'
print link.state.flow / link.fd.q_max
pylab.hist([
link.congestion_level()
for link in net.get_links()
], bins = 100)
pylab.show()
