基于效用的大型综合客运枢纽智能交通出行链技术

Intelligent Trip Chain Technology for Large Comprehensive Transportation Hub Based on Utility Theory

摘要:

近年来，基于效用理论的大型综合客运枢纽智能交通出行链受到广泛关注。提出旅客交通出行效用模型，基于数据挖掘技术、用户画像技术精准识别枢纽旅客出行需求，并给出典型用户优先过滤推荐算法和信息动态更新策略；针对大客流情景建立交通系统效用模型，提出基于交通系统效率最优的智能交通出行链，均衡各交通方式；当交通系统服务正常运行时，为了避免交通系统共振，建立旅客端与交通系统端效用均衡最优的双层规划模型。最后，经“畅行虹桥”APP测试验证，采用智能交通出行链后，总体交通方式转变率约0.050，出行链满意度总体得分提升率为0.160，出行时间变化率减少0.056。

Abstract:

In recent years， the research on intelligent trip chains for large comprehensive passenger transportation hubs based on utility theory has received extensive attention. Firstly，the utility model of hub passenger transportation was proposed. Based on data mining technology and user profiling technology， the travel demands of hub passengers were accurately identified. With the goal of optimizing passenger travel utility， a typical user priority filtering recommendation algorithm and an information dynamic update strategy were proposed. Secondly，for scenarios with large passenger flows， a transportation system utility model was established， and an intelligent trip chain based on the optimization of transportation system efficiency was proposed to balance various transportation modes. Thirdly，during the normal operation of the transportation system service， to avoid the resonance in the transportation system， a bi-level programming model for the equilibrium optimization of passenger and transportation system utility was established. Finally，verified by the internal test of the “Changxing Hongqiao” APP， after adopting the intelligent trip chain， the overall rate of change in transportation modes is approximately 0.050， the overall satisfaction score of the trip chain increases by 0.160， and the rate of change in travel time decreases by 0.056.