CAREER: Conflicting Traffic Streams with Mixed Traffic: Modeling and Control

职业：冲突交通流与混合交通：建模和控制

基本信息

批准号：
1944369
负责人：
Danjue Chen
金额：
$ 50万
依托单位：
University of Massachusetts Lowell
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2023-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1944369&HistoricalAwards=false
关键词：
CAREER Conflicting Traffic Streams Mixed

项目摘要

This Faculty Early Career Development (CAREER) grant supports fundamental research in understanding of traffic flow patterns in mixed autonomous and human-controlled traffic streams. Emerging connected automated vehicle (CAV) technologies hold enormous potential to reduce transportation system congestion, improve safety, and facilitate higher energy efficiency. While anticipated benefits are greatest when all vehicles on the roads are CAVs, the near-term future will consist of mixed connected vehicles (CVs) connected automated vehicles and non-connected (human-driven, or HV) vehicles. This project will study mixed traffic streams, quantifying their impact on congestion and traffic flow, and develop robust strategies intended to improve performance and safety of the system as a whole, thereby enabling better understanding of how different vehicle types interact in traffic. The results will guide the development of roadway design, policies, and long-term planning for future transportation systems. The research activities will be closely integrated with a set of education and outreach activities to effectively promote smart and sustainable transportation. These activities include (i) developing a set of tools that will be shared with the research and practice communities (e.g., portable driving simulators, and an open-sourced micro-simulation platform), (ii) enhancing existing engineering curricula, (iii) broadening participation of women in STEM, and (iv) providing outreach to a broad audience, including K-12 students and teachers as well as cross-sector research communities. The research objectives of this project are to (i) characterize the driving behaviors of HVs and CAVs in conflicting traffic streams, (ii) the collective impact of mixed traffic on the traffic flow, and (iii) investigate robust tactical-level control strategies for CAVs to improve system performance with respect to throughput, traffic flow stability, and safety. The research involves data collection on using driving simulators and field tests, establishment of behavior models for different vehicle types (i.e., CAVs, CVs, and HVs) based on the collected data, and design and evaluation of tactical level control strategies using rule-based and Artificial Intelligent (AI)-based control approaches. This research will uncover the cooperative behavior of CAVs and the behavior of HVs and CVs under cooperation in the context of conflicting traffic streams. The research is expected to produce effective control strategies for CTS with mixed traffic. The outreach plan will provide high school students and teachers with exposure to the university's virtual driving lab as well as to research challenges in emerging transportation systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项教师早期职业发展（职业）赠款支持理解混合自主和人类控制交通流的交通流模式的基本研究。新兴连接的自动化车辆（CAV）技术具有巨大的潜力，可减少运输系统拥塞，提高安全性并促进更高的能源效率。尽管道路上的所有车辆都是骑士，但预期的福利是最大的，但近期的未来将由混合连接的车辆（CVS）连接的自动车辆和未连接的（人类驱动或HV）车辆组成。该项目将研究混合的交通流，量化其对交通拥堵和交通流量的影响，并制定旨在提高整个系统性能和安全性的强大策略，从而更好地了解不同车辆类型在交通中的相互作用。结果将指导未来运输系统的道路设计，政策和长期计划的制定。研究活动将与一系列教育和外展活动紧密融合，以有效地促进智能和可持续的运输。这些活动包括（i）开发一组将与研究和实践社区共享的工具（例如，便携式驾驶模拟器和开源的微模拟平台），（ii）加强现有的工程课程，（iii）妇女在STEM中的宽广参与，以及（iv）（iv），（iv）向广泛的读者提供广泛的读者，包括K-12的广泛群众，包括K-12学生和教师和教师和教师研究社区以及社区以及社区以及社区以及社区以及社区以及社区以及社区以及社区。该项目的研究目标是（i）表征交通冲突中HVS和CAVS的驾驶行为，（ii）混合流量对交通流的集体影响，（iii）研究强大的战术级别控制策略，以提高骑士在相对于吞吐量，交通流量稳定和安全性方面提高系统性能相对于系统性能提高系统性能。该研究涉及有关使用驾驶模拟器和现场测试的数据收集，基于收集的数据建立不同车辆类型（即CAV，CVS和HVS）的行为模型，以及使用基于规则的和人工智能（AI）的控制方法设计和评估战术水平控制策略。这项研究将揭示骑士的合作行为以及在交通冲突的背景下合作的HVS和CV的行为。预计该研究将为流量混合的CT制定有效的控制策略。宣传计划将为高中生和教师提供对大学虚拟驾驶实验室的接触，以及在新兴运输系统中的研究挑战。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点和更广泛的影响来通过评估来支持的。