CPS: Small: Cyber-Physical Phases of Mixed Traffic with Modular & Autonomous Vehicles: Dynamics, Impacts and Management

CPS：小型：模块化混合流量的网络物理阶段

基本信息

批准号：
1932452
负责人：
Xiaopeng Li
金额：
$ 50万
依托单位：
University of South Florida
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：
2020-01-01 至 2023-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1932452&HistoricalAwards=false
关键词：
CPS Small Cyber Physical Phases

项目摘要

Emerging technologies in communications and vehicle technologies will allow future autonomous vehicles to be platooned together with wireless communications (cyber-connected) or physically forming an actual train (physically-connected). When physically connected, vehicles may dock to and undock from each other en-route when vehicles are still moving. While such platooning can potentially offer substantial societal benefits in safety, mobility and environmental friendliness, their emergence also challenges the classic traffic flow models that do not account for the state that vehicles can have very short to no gaps from each other. And yet, classic traffic flow models are being used for all traffic simulations for assessment on safety, mobility and environment. This project aims to expand classic highway traffic flow models to account for states where vehicles can be very close to or even physically connected with each other. These new models will help stakeholders plan and manage future transportation systems and supply the engineering curriculum with new methods, tools, and experimental platforms oriented towards future smart urban systems. The objectives of this research are (1) to gain new knowledge on the impacts of the emerging new states in highway traffic dynamics in both ideal (e.g., with zero sensor errors and delay, infinite communication range, and infinite computational power ) and realistic ( e.g., with sensor noise, communication delay and computational limits) operational conditions, (2) to devise mechanisms and managing strategies to properly regulate the multi-state mixed traffic for its best performance, and (3) to quantify the key components of the models and systems via both full-scale and reduced-scale testbeds. These models will provide theoretical insights on the upper-bound performance of a mixed traffic system in ideal operational conditions. Then realistic cyber-physical constraints will be incorporated into the highway system and agent-based simulations will be conducted to understand how the system performance will be compromised due to these real-world cyber-physical constraints. Various management strategies will also be explored via both decentralized (e.g., each individual vehicle making decisions on its own) and centralized (e.g., all vehicles controlled or coordinated by a central operator) control strategies for offsetting the performance of a transportation system closer to the theoretical upper bound. Finally, field experiments on both multi-scale testbeds will be conducted to validate the key components of the theorems and models.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.

通信和车辆技术领域的新兴技术将使未来的自动驾驶汽车与无线通信（网络连接）一起被排成，或者物理形成实际火车（物理连接）。当物理连接时，车辆仍在移动时，车辆可能会停靠并从途中撤离。尽管这样的排可能会在安全，机动性和环境友好性方面具有可观的社会利益，但它们的出现也挑战了经典的交通流模型，这些模型无法说明车辆可能彼此之间的空白很短。然而，经典的交通流模型已用于所有交通模拟，以评估安全性，流动性和环境。该项目旨在扩大经典的高速公路交通流模型，以说明车辆可能非常接近甚至物理相互连接的状态。这些新模型将帮助利益相关者计划和管理未来的运输系统，并使用针对未来智能城市系统的新方法，工具和实验平台提供工程课程。这项研究的目的是（1）获得有关高速公路交通动态中新状态的影响的新知识，例如，具有零传感器错误和延迟，无限的沟通范围和无限计算能力）以及现实（例如，具有传感器噪音，沟通延迟和计算限制）的操作策略（2），（2）的策略（2）性能和（3）通过全尺度和尺度测试台量化模型和系统的关键组件。这些模型将提供理论上有关在理想操作条件下混合交通系统上限性能的理论见解。然后，将将现实的网络物理约束纳入公路系统，并将进行基于代理的模拟，以了解由于这些真实的网络物理限制因素，将如何损害系统性能。还将通过分散化（例如，每辆单独的车辆自行做出决定）和集中式（例如，所有由中央操作员控制或协调的车辆）控制策略来探讨各种管理策略，以抵消更接近理论上限的运输系统性能的策略。最后，将对两个多尺度测试台进行现场实验，以验证定理和模型的关键组成部分。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛影响的审查标准通过评估来通过评估来获得支持的。

项目成果

期刊论文数量（14）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Trajectory planning for autonomous modular vehicle docking and autonomous vehicle platooning operations

DOI：
10.1016/j.tre.2022.102886
发表时间：
2022-10
期刊：
Transportation Research Part E: Logistics and Transportation Review
影响因子：
0
作者：
Qianwen Li;Xiaopeng Li
通讯作者：
Qianwen Li;Xiaopeng Li

A Review of Connected and Automated Vehicle Platoon Merging and Splitting Operations

DOI：
10.1109/tits.2022.3193278
发表时间：
2022-12
期刊：
IEEE Transactions on Intelligent Transportation Systems
影响因子：
8.5
作者：
Qianwen Li;Zhiwei Chen;Xiaopeng Li
通讯作者：
Qianwen Li;Zhiwei Chen;Xiaopeng Li

Empirical study on car-following characteristics of commercial automated vehicles with different headway settings

DOI：
10.1016/j.trc.2021.103134
发表时间：
2021-07
期刊：
Transportation Research Part C: Emerging Technologies
影响因子：
0
作者：
Xiaowei Shi;X. Li
通讯作者：
Xiaowei Shi;X. Li

Lane-change-aware connected automated vehicle trajectory optimization at a signalized intersection with multi-lane roads

DOI：
10.1016/j.trc.2021.103182
发表时间：
2021-06-04
期刊：
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
影响因子：
8.3
作者：
Yao, Handong;Li, Xiaopeng
通讯作者：
Li, Xiaopeng

Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model

DOI：
10.1016/j.tre.2021.102240
发表时间：
2021-02-05
期刊：
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
影响因子：
10.6
作者：
Pei, Mingyang;Lin, Peiqun;Chen, Zhiwei
通讯作者：
Chen, Zhiwei

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Xiaopeng Li其他文献

Catalytic performance of spray-dried Cu/ZnO/Al2O3/ZrO2 catalysts for slurry methanol synthesis from CO2 hydrogenation

喷雾干燥Cu/ZnO/Al2O3/ZrO2催化剂用于CO2加氢制浆液甲醇的催化性能

DOI：
10.1016/j.jcou.2016.01.005
发表时间：
2016-09
期刊：
Journal of CO2 Utilization
影响因子：
7.7
作者：
Yanfei Zhang;Liangshu Zhong;Hui Wang;Peng Gao;Xiaopeng Li;Shuo Xiao;Guoji Ding;Wei Wei;Yuhan Sun
通讯作者：
Yuhan Sun