Evasive Flow Capturing Problem: Optimal Allocation of Weigh-in-Motion Stations, Tollbooths, and Security Checkpoints

该研究项目的目标是引入一个新的流量捕获框架，“规避流量捕获问题”（EFCP），并开发数学解决方案技术，用于优化目标驱动程序希望避免的设施位置。流捕获问题包括定位设施，以最大化的用户谁应该遇到至少一个这些设施沿着他们预定的旅行路径的数量。用于解决该问题的现有模型通常假设，如果设施沿着（或相对靠近）预定路径定位，则沿着该路径的运输流被认为被捕获。然而，在确定司机试图避开的设施时，例如用于拦截违规者、逃避通行费者、入侵者或危险货物的设施，这种假设是站不住脚的。该项目的方法将应用于现实的案例研究，以最佳地定位卡车重量执法设施以及安全和安全检查站。如果成功，这项研究预计将改善目前的做法，运输机构在定位重量执法设施，这往往是简单地优先考虑最受损的道路。定位重量强制设施的方法可以加快公共机构的决策过程，并提供大大降低1）道路维护成本，2）环境破坏和3）由于超重商用车辆造成的事故成本的解决方案。安保和安全检查站最佳位置的方法可以大大改善国土安全和运输危险材料的风险。 拟议工作的计算机实现（例如解决技术和输入数据的代码）将在网上提供，供今后扩展，并将用于为妇女和代表人数不足的少数民族服务的研究生优化课程。所开发的方法和结果也将通过技术会议、期刊论文和向运输机构的介绍进行传播。

The goal of this research project is to introduce a new flow capturing framework, "Evasive Flow Capturing Problem" (EFCP), and develop mathematical solution techniques for optimizing locations of facilities that targeted drivers wish to avoid. The flow capturing problem consists of locating facilities in order to maximize the number of users who should encounter at least one of these facilities along their predetermined travel paths. Existing models for solving this problem commonly assume that if a facility is located along (or relatively close to) a predetermined path, the transportation flow along this path is considered captured. However, this assumption is untenable when locating facilities that drivers try to avoid, such as facilities used to intercept violators, toll evaders, intruders or hazardous cargoes. The project's methods will be applied in realistic case studies for optimally locating truck weight enforcement facilities as well as security and safety checkpoints.If successful, this research is expected to improve current practices of transportation agencies in locating weight-enforcing facilities, which often consist of simply prioritizing the most damaged roads. The methods for locating weight-enforcing facilities could speed up decision making processes of public agencies and provide solutions that greatly reduce 1) road maintenance costs, 2) environmental damage and 3) accident costs due to overweight commercial vehicles. The methods for optimal location of security and safety checkpoints could considerably improve homeland security and the risks of transporting hazardous materials. The computer implementations of the proposed work (e.g. codes for the solution techniques and input data) will be made available online for future extensions and will be used in graduate optimization courses that serve women and under-represented minorities. The developed methods and results will also be disseminated through technical conferences, journal papers, and presentations to transportation agencies.