Fund budget model for multipurpose transit smart card systems

城市公共交通一卡多用系统资金预算模型(英文)

The fund budget of multipurpose transit smart card systems is studied by stochastic programming to assign limited funds to different applications reasonably. Under the constraints of a gross fund, models of chance-constrained and dependentchance for the fund budget of multipurpose transit smart card systems are established with application scale and social demand as random variables, respectively aiming to maximize earnings and satisfy the service requirements the furthest; and the genetic algorithm based on stochastic simulation is adopted for model solution. The calculation results show that the fund budget differs greatly with different system objectives which can cause the systems to have distinct expansibilities, and the application scales of some applications may not satisfy user demands with limited funds. The analysis results indicate that the forecast of application scales and application future demands should be done first, and then the system objective is determined according to the system mission, which can help reduce the risks of fund budgets.

为将有限的资金合理分配到多个应用中,用随机规划理论研究了城市公共交通一卡多用系统资金预算问题.在资金总量约束条件下,以应用规模和相应的社会需求作为随机变量,根据收益最大化和最大程度满足用户需求目标,分别建立了资金预算机会约束模型和相关机会模型,并采用基于随机模拟的遗传算法来求解模型.实例分析表明:目标设定不一致,资金预算结果有较大差异,导致系统发展方向也不一致;资金有限的情况下,很可能造成一些应用规模不能满足用户的需求.资金预算应首先对各应用的规模及业务量进行预测,根据系统使命确定系统目标,有助于降低资金预算的风险.