18 #ifndef LogitCalculator_h
19 #define LogitCalculator_h
38 template<
class R,
class E,
class V>
48 void setCosts(R* route,
const double costs,
const bool )
const {
49 route->setCosts(costs);
58 for (
typename std::vector<R*>::const_iterator i = alternatives.begin(); i != alternatives.end(); i++) {
61 const std::vector<const E*>& edgesR = pR->getEdgeVector();
62 for (
typename std::vector<const E*>::const_iterator edge = edgesR.begin(); edge != edgesR.end(); ++edge) {
64 lengthR += (*edge)->getTravelTime(veh,
STEPS2TIME(time));
66 double overlapSum = 0;
67 for (
typename std::vector<R*>::const_iterator j = alternatives.begin(); j != alternatives.end(); j++) {
69 double overlapLength = 0.;
71 const std::vector<const E*>& edgesS = pS->getEdgeVector();
72 for (
typename std::vector<const E*>::const_iterator edge = edgesS.begin(); edge != edgesS.end(); ++edge) {
73 lengthS += (*edge)->getTravelTime(veh,
STEPS2TIME(time));
74 if (std::find(edgesR.begin(), edgesR.end(), *edge) != edgesR.end()) {
75 overlapLength += (*edge)->getTravelTime(veh,
STEPS2TIME(time));
78 overlapSum += pow(overlapLength / sqrt(lengthR * lengthS),
myGamma);
83 for (
typename std::vector<R*>::iterator i = alternatives.begin(); i != alternatives.end(); i++) {
85 double weightedSum = 0;
86 for (
typename std::vector<R*>::iterator j = alternatives.begin(); j != alternatives.end(); j++) {
90 pR->setProbability(1. / weightedSum);
98 double min = std::numeric_limits<double>::max();
99 for (
typename std::vector<R*>::const_iterator i = alternatives.begin(); i != alternatives.end(); i++) {
100 const double cost = (*i)->getCosts() / 3600.;
113 double min = std::numeric_limits<double>::max();
114 for (
typename std::vector<R*>::const_iterator i = alternatives.begin(); i != alternatives.end(); i++) {
115 const double cost = (*i)->getCosts() / 3600.;
121 const double meanCost = sum / double(alternatives.size());
122 for (
typename std::vector<R*>::const_iterator i = alternatives.begin(); i != alternatives.end(); i++) {
123 diff += pow((*i)->getCosts() / 3600. - meanCost, 2);
125 const double cvCost = sqrt(diff /
double(alternatives.size())) / meanCost;
128 return 3.1415926535897932384626433832795 / (sqrt(6.) * cvCost * (min + 1.1)) / 3600.;