Research Article

Policy-Combination Oriented Optimization for Public Transportation Based on the Game Theory

Table 1

Main parameters.

SymbolsDescriptionsValues

Environment Variables
Travel distance, (km)
Y=1: BL Scenario; Y=0: NBL Scenario
Design Variables
Bus operating frequency, (bus/h);
Travel cost by car, (RMB);
Bus fare, (RMB);
Subsidy for bus travel, (RMB);
Fixed Parameters
Travelers’ time value coefficient;
Walking time value coefficient;
Waiting time value coefficient;
, Parameters of time value when staying in the crowded vehicle;,
Bottleneck capacity in BL Scenario, (pcu/h);
Bottleneck capacity in NBL Scenario, (pcu/h);
, Penalty coefficients for arriving earlier or later, ;,
, Free flow speed of car and bus, respectively, (km/h);,
Car travelers’ walking time, (h);
Bus travelers’ walking time, (h);
Price of fuel consumption and car depreciation per km, (RMB/km);
Distance of every road segment, (km);
Passenger car equivalent factor of bus;
Rated passenger capacity of bus, (person);
Total travel demand in the system, (person);
Scheduled arriving time at work;9:00 a.m
Unit variable cost of bus passengers, (RMB/person);
Unit variable cost of number of buses, (RMB/carkm);