def exp_5_profile():
"""
"""
scales = lab.linspace(0.0, 0.1, 10)
route_tts = defaultdict(lambda: list())
for scale in scales:
net = MinTTTFlowLinkComplacencyProblem.load('../networks/exps/exp5/net_nash.json')
net.scale = scale
net.get_program().cr_solve()
net.realize()
for route in net.all_routes():
route_tts[tuple(route.name())].append(net.route_travel_time(route))
latex_figure()
# lab.xscale("log")
lab.hold(True)
for route, values in route_tts.iteritems():
lab.plot(scales, values,next(line_cycler), label='rte {0}'.format(route[1]), linewidth=3.0)
route_tts = defaultdict(lambda: list())
for scale in scales:
net = MinTTTFlowLinkComparativeComplacencyProblem.load('../networks/exps/exp5/net_nash.json')
net.scale = scale
net.get_program().cr_print()
net.get_program().cr_solve()
net.realize()
for route in net.all_routes():
route_tts[tuple(route.name())].append(net.route_travel_time(route))
for route, values in route_tts.iteritems():
lab.plot(scales, values,next(line_cycler), label='rte {0}: comp.'.format(route[1]))
lab.ylabel('Route latency $\\ell_r$ (s)')
lab.xlabel('Complacency scale factor $\\alpha$ (-)')
lab.title('Comparison of route latencies')
lab.legend(loc=7)
lab.savefig('figures/complacency_models_simple_network.pdf')
def n_routes():
net = CTMStaticProblem.load("data/data_fixed.json")
net.cache_props()
latex_figure()
pylab.hist([len(routes) for routes in net.od_routes.itervalues()], bins=7, align="mid", range=(-0.5, 6.5))
pylab.title("Number of available routes between o-d pairs")
pylab.xlabel("Number of routes between o-d pair (-)")
pylab.ylabel("Count (-)")
pylab.savefig("figures/available_routes.pdf")
def congestion_level():
net = CTMStaticProblem.load("data/data_fixed_again.json")
net.cache_props()
latex_figure()
pylab.hist([link.congestion_level() for link in net.get_links()], bins=50, range=(0, 1), normed=True)
pylab.title("Congestion levels of input data")
pylab.xlabel("Congestion level (-)")
pylab.ylabel("Normalized counts (-)")
pylab.savefig("figures/congestion_level.pdf")
def difference_stuff():
prev = CTMStaticProblem.load("data/jdr_with_state.json")
final = CTMStaticProblem.load("data/data_fixed_again.json")
latex_figure()
pylab.hist(
[
abs(p.state.flow - f.state.flow) / (p.state.flow)
for p, f in [
(prev.link_by_name(lid), final.link_by_name(lid))
for lid in set([link.name for link in prev.get_links()])
]
],
bins=20,
)
pylab.title("Relative change in link flow input")
pylab.xlabel("Relative change (-)")
pylab.ylabel("Count (-)")
pylab.savefig("figures/data_fixer_difference_flow.pdf")
latex_figure()
pylab.hist(
[
abs(p.state.density - f.state.density) / (p.state.density)
for p, f in [
(prev.link_by_name(lid), final.link_by_name(lid))
for lid in set([link.name for link in prev.get_links()])
]
],
bins=20,
)
pylab.title("Relative change in link density input")
pylab.xlabel("Relative change (-)")
pylab.ylabel("Count (-)")
pylab.savefig("figures/data_fixer_difference_density.pdf")
routes = [route.name() for route in prev.all_routes()]
latex_figure()
pylab.hist(
[
abs(prev.route_travel_time(route) - final.route_travel_time(route)) / prev.route_travel_time(route)
for route in routes
],
bins=20,
range=(0, 0.3),
)
pylab.title("Relative change in route travel times after data preparation")
pylab.xlabel("Relative change (-)")
pylab.ylabel("Count (-)")
pylab.savefig("figures/data_fixer_difference_route.pdf")
