基于心理学和经济学理论的人本自治交通科学假想及群组动画推演验证

项目名称： 基于心理学和经济学理论的人本自治交通科学假想及群组动画推演验证

项目编号： No.61472370

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 计算机科学学科

项目作者： 徐明亮

作者单位： 郑州大学

项目金额： 86万元

中文摘要： 根据心理学与经济学理论，创新地提出人本自治交通科学假想：（1）对每辆车安装可监控其它车辆交通行为的电子眼设备，实现车辆之间的相互监控；（2）每个驾驶人都可通过举报其它车辆的违章行为获得一定的奖励，由违章驾驶人支付奖励；（3）车辆的主动避让行为能被电子眼识别，并会获得一定奖励；（4）收取交通资源使用费，促使所有出行人根据其购买力理性选择交通方式，实现有限交通资源的效用最大化；（5）定期向所有驾驶人平均发放一定量的交通资源免费使用卷，用以保证公平；（6）违章驾驶行为将被扣除一定的驾驶行为信用值，信用值只能通过系统对所有驾驶人定期平均发放获得，其使用具有时效性，一定时间内每个驾驶人的信用值是有限的，扣除完后驾驶人将被终止驾驶，用以约束违章行为。据此对实施该假想后的车辆流动演化过程进行多智能体系统建模，采用群组动画技术推演验证假想的理论可行性，为交通治理提供新的研究思路和方法手段。

中文关键词： 群组动画；交通管理；社会计算；交通仿真

英文摘要： This proposal, for the first time, proposes a Human-initiative autonomous traffic regulationtheory, inspired by psychology and economics principles. It is based on the following key assumptions: (1) Each car will be installed with an E-eye device that can be used to monitor other cars on the road, which enables each car to play the role of law enforcement and the role by law enforcement. (2) Each car will win certain amount of rewards by reporting the illegal driving behavior of other cars via its installed E-eye system. (3) A car's traffic avoidance behavior will be given certain amount of rewards if it is identified and reported by other car's E-eye system. (4) In order to drive on the road, each car need to pay traffic resource cost. In this way, every car owner will make the most rational decision to maximize the utility of his/her own traffic resource. (5) Everyone in the society will be evenly allocated a certain amount of traffic resource regularly, without charge. An interdisciplinary research team, combining theories and methodologies from information science, psychology, and economics, will develop a tractable computational model to quantitatively model the driver behavior function in psychological space, where each driver-car is studied as a basic micro-unit. The pipeline of our approach consists of the following key steps: proposing scientific assumptions -> construction of computational model -> ground-truth data collection -> model-based simulation -> simulation based validation and evaluation. Finally, we will systematically model the dynamic evolving of the traffic after our proposed computational model is incorporated, and further validate the theoretical feasibility of the proposed computational model based on data-driven traffic simulation.

英文关键词： Crowd Animation;Transportation;Social Computing;Traffic Simulation