车路联网与协同交通管理与控制-同济大学智能交通运输系统（ITS）研究中心

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车路联网与协同交通管理与控制

【来源： | 发布日期：2021-07-27 】

一、车路联网与协同关键技术

1、高水平论文

杨晓光,马万经,姚佼, et al.智慧主动型交通控制系统及实验[J].工程研究-跨学科视野中的工程, 2014(1):43-53.

摘要：限于交通信息采集内容及方式、控制实现手段和优化模型性能等因素，传统交通控制系统难以满足实际的交通控制需求。大数据和车联网及车路协同系统等技术的发展，为提升交通控制系统的控制基础与条件、系统适应能力和响应能力创造了前所未有的条件。本文首先分析了信息、数据和计算技术等变革对交通系统运行环境、交通控制对象特征和通信与实现手段的影响;进而面向多模式交通流，提出了以更安全、更快速、更绿色、更人性化等为基本特征的下一代智慧主动型交通控制系统及其逻辑架构与物理架构。系统原型测试表明，快速发展的信息通信等技术及基于此的下一代交通控制系统具有出色的潜在性能和广阔的前景。

Wang, Yinsong、Yang, Xiaoguang、Huang, Luoyi、Wang, Jiawen，Lane-Level Vehicle Trajectory Reckoning for Cooperative Vehicle-Infrastructure System，Discrete Dynamics in Nature and Society, Vol 1, pp 1-15, 2012.

摘要：This paper presents a lane-level positioning method by trajectory reckoning without Global Positioning System (GPS) equipment in the environment of Cooperative Vehicle-Infrastructure System (CVIS). Firstly, the accuracy requirements of vehicle position in CVIS applications and the applicability of GPS positioning methods were analyzed. Then, a trajectory reckoning method based on speed and steering data from vehicle’s Control Area Network (CAN) and roadside calibration facilities was proposed, which consists of three critical models, including real-time estimation of steering angle and vehicle direction, vehicle movement reckoning, and wireless calibration. Finally, the proposed method was validated through simulation and field tests under a variety of traffic conditions. Results show that the accuracy of the reckoned vehicle position can reach the lane level and match the requirements of common CVIS applications.

2、专利与软著

专利名称：一种基于车车通信的换道超车辅助方法及系统

专利号：201210096478.X

发明人：杨晓光、黄罗毅、王吟松等

专利名称：一种道路交通状态跟车探测方法、系统及应用

专利号：201210096748.7

发明人：杨晓光，王吟松，黄罗毅，王嘉文

二、智能交通控制系统

1、高水平论文

杨晓光,赵靖,马万经, et al.信号控制交叉口通行能力计算方法研究综述[J].中国公路学报, 2014, 27(5):148-157.

摘要：为给规划、设计、管理等各阶段提供科学的道路通行能力计算方法，通过对各国大量道路通行能力研究文献的分析，重点综述了以往通行能力研究的代表性领域“信号控制交叉口通行能力”的成果。饱和流率和有效绿信比是通行能力估算的2个关健参数:对饱和流率从其模型形式、实侧方法、基本饱和流率和各项修正参数的确定方法等进行了综述;对有效绿信比的确定，针对定时和感应2种主要信号控制模式，阐述了绿信比的影响因素、计算方法及模型。最后结合信号控制交叉口通行能力研究需求和条件变化及中国在该研究领域中所需解决的特殊问题，探讨了信号控制交叉口通行能力的研究发展方向。结果表明:目前的信号交叉口通行能力研究缺乏对交叉口上、下游条件的考虑，关于饱和流率在波动、复杂通行环境及提供信息条件下的通行能力计算及其不确定性分析是未来研究的方向。

Yu C , Ma W , Lo H K , et al. Optimization of mid-block pedestrian crossing network with discrete demands[J]. Transportation Research Part B: Methodological, 2015, 73:103-121.

In many cases, pedestrian crossing demands are distributed discretely along an arterial segment. Demand origins, destinations and crosswalks comprise a pedestrian crossing network. An integrated model for optimizing the quantity, locations and signal settings of mid-block crosswalks simultaneously is proposed to best trade-off the operational performances between pedestrians and vehicles. Pedestrian behavior of choosing crosswalks is captured under a discrete demand distribution. Detour distance and delay at signalized crosswalks are formulated as a measure of pedestrian crossing cost. Maximum bandwidths are modeled in analytical expressions as a measure of vehicular cost. To solve the proposed model, the Non-dominated Sorting Genetic Algorithm II (NSGA II) based algorithm is designed and employed to obtain the Pareto frontier efficiently. From the numerical study, it is found that there exists an optimal number of mid-block crosswalks. Excess available crosswalks may make no contributions to improvement in pedestrian cost when the constraint of the minimum interval between crosswalks and vehicular cost are taken into account. Two-stage crosswalks are more favorable than one-stage ones for the benefits of both pedestrian and vehicles. The study results show promising properties of the proposed method to assist transportation engineers in properly designing mid-block crosswalks along a road segment.