Exemplos de single_class_parametric_study em Python

Exemplo n.º 1

Arquivo: scripts_LA.py Projeto: ugirumurera/Traffic-Assignment-Problem

def LA_ue(factors, output):
    '''
    parametric study for computing equilibrium flows with different demand factors
    '''
    net, demand, node, geom = load_LA_3()
    demand[:, 2] = demand[:, 2] / 4000.
    single_class_parametric_study(factors, output, net, demand)

Exemplo n.º 2

Arquivo: scripts_LA.py Projeto: megacell/python-traffic-assignment

def LA_ue(factors, output):
    '''
    parametric study for computing equilibrium flows with different demand factors
    '''
    net, demand, node, geom = load_LA_3()
    demand[:,2] = demand[:,2] / 4000.
    single_class_parametric_study(factors, output, net, demand)

Exemplo n.º 3

Arquivo: scripts_LA.py Projeto: ugirumurera/Traffic-Assignment-Problem

def LA_so(factors, output):
    '''
    parametric study for computing social optimum with different demand factors
    '''
    net, demand, node, geom = load_LA_3()
    demand[:, 2] = demand[:, 2] / 4000.
    net2 = net_with_marginal_cost(net)
    single_class_parametric_study(factors, output, net2, demand)

Exemplo n.º 4

Arquivo: scripts_LA.py Projeto: megacell/python-traffic-assignment

def LA_so(factors, output):
    '''
    parametric study for computing social optimum with different demand factors
    '''
    net, demand, node, geom = load_LA_3()
    demand[:,2] = demand[:,2] / 4000.
    net2 = net_with_marginal_cost(net)
    single_class_parametric_study(factors, output, net2, demand) 

Exemplo n.º 5

Arquivo: scripts_LA.py Projeto: ugirumurera/Traffic-Assignment-Problem

def LA_ue_K(factors, thres, cog_cost, output):
    '''
    parametric study for computing equilibrium flows with different demand factors
    and cognitive cost
    '''
    net, demand, node, geom = load_LA_3()
    demand[:, 2] = demand[:, 2] / 4000.
    net2, small_capacity = multiply_cognitive_cost(net, geom, thres, cog_cost)
    single_class_parametric_study(factors, output, net2, demand)

Exemplo n.º 6

Arquivo: scripts_LA.py Projeto: megacell/python-traffic-assignment

def LA_ue_K(factors, thres, cog_cost, output):
    '''
    parametric study for computing equilibrium flows with different demand factors
    and cognitive cost
    '''
    net, demand, node, geom = load_LA_3()
    demand[:,2] = demand[:,2] / 4000.
    net2, small_capacity = multiply_cognitive_cost(net, geom, thres, cog_cost)
    single_class_parametric_study(factors, output, net2, demand)