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学者姓名：连培昆
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Abstract ：
When throughput demand exceeds intersection capacity in urban road networks, queue overflow causes congestion. This paper investigates limitations of the Webster algorithm in initial signal timing calculations and proposes an improved capacity estimation model for signalised intersections, considering traffic flow characteristics, lane number, length and road geometry. The model development involves establishing a computational framework based on lane number and flow at each entrance, correcting and analysing lane number and traffic flow reduction coefficients. Road geometry and actual traffic flow effects are studied, leading to a modified model. Using the Jinshan Avenue in Fuzhou, China as an example, the highway capacity manual (HCM) method verifies the model. Results show: (a) no significant difference between modified model inflow and actual observed flow; (b) the model exhibits an average error of 8.44 veh/h for calibrated flow during off-peak periods and 13.67 veh/h during peak hours. In both scenarios, it better matches real-world traffic conditions than HCM and Synchro; (c) in the case study, a single-factor sensitivity analysis was conducted for parameter alpha. Results show that this parameter exerts a notable influence on the model.
Keyword ：
inflow traffic inflow traffic model tests model tests simulation simulation traffic capacity traffic capacity transport management transport management UN SDG 9: Industry, innovation and infrastructure UN SDG 9: Industry, innovation and infrastructure widened section widened section
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| GB/T 7714 | Lin, Yi , Zhong, Linkai , Bao, Riyong et al. A modified model for signal intersection capacity considering road geometric conditions [J]. | PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT , 2025 . |
| MLA | Lin, Yi et al. "A modified model for signal intersection capacity considering road geometric conditions" . | PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT (2025) . |
| APA | Lin, Yi , Zhong, Linkai , Bao, Riyong , Kang, YaLing , Lian, Peikun . A modified model for signal intersection capacity considering road geometric conditions . | PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT , 2025 . |
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智能路侧设施布设的管控效果对智能路侧设施建设至关重要，但在现有的智能路侧设施管控效果测度方法研究中，存在实地测度实验的高成本性、场景不可控及现有仿真软件侧重单车仿真且缺乏对交通流层面的控制策略植入与运行状态分析等问题。因此利用VISSIM COM二次开发，提出了基于交通流仿真的管控效果测度方法。首先，设计高速公路的管控场景，并利用VISSIM进行场景构建；其次，通过设计换道控制策略算法和动态限速策略算法，对换道过程和限速过程进行计算和控制；最后，通过构建管控效果评价模型对高速公路的管控效果进行量化及分析，并与其他方法进行对比。仿真结果表明，对比其他测度方法，所提方法的速度方差分别降低了39.51%和25.65%。由此可见，该方法能够适应复杂的高速交通环境，并能够有效地对高速公路智能路侧设施布设的管控效果进行测量。
Keyword ：
VISSIM仿真 VISSIM仿真 智能交通 智能交通 智能路侧设施 智能路侧设施 管控效果 管控效果 高速公路 高速公路
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| GB/T 7714 | 钟琳凯 , 林毅 , 曾琪婷 et al. 基于交通流仿真的智能路侧设施管控效果测度方法 [J]. | 计算机应用研究 , 2025 , 42 (04) : 1135-1142 . |
| MLA | 钟琳凯 et al. "基于交通流仿真的智能路侧设施管控效果测度方法" . | 计算机应用研究 42 . 04 (2025) : 1135-1142 . |
| APA | 钟琳凯 , 林毅 , 曾琪婷 , 连培昆 , 陈宁 , 张道智 . 基于交通流仿真的智能路侧设施管控效果测度方法 . | 计算机应用研究 , 2025 , 42 (04) , 1135-1142 . |
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本发明提出一种基于潜在冲突分析的车路协同换道决策与控制方法，具体包括以下步骤：S1、采集和处理车辆和周围环境信息；S2、启动换道决策计算；S3、计算换道影响范围；S4、换道冲突车辆筛选；对每一换道车换道影响范围内车辆间的关系进行分析，判断换道车辆间是否存在潜在冲突；S5、计算换道优先度；S6、换道执行。本发明能够有效降低潜在的换道冲突风险，提高车辆换道效率；通过考虑换道车辆的到达随机性和时空演变特性，能够更加客观地反映车辆换道过程的动态变化规律以适应不同的换道场景与换道需求，对于推进车路协同技术应用与提高交通安全具有较为重要的理论意义和实际应用价值。
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| GB/T 7714 | 陈鲁川 , 王亮 , 方胥善 et al. 一种基于潜在冲突分析的车路协同换道决策与控制方法 : CN202411575993.5[P]. | 2024-11-06 . |
| MLA | 陈鲁川 et al. "一种基于潜在冲突分析的车路协同换道决策与控制方法" : CN202411575993.5. | 2024-11-06 . |
| APA | 陈鲁川 , 王亮 , 方胥善 , 钟琳凯 , 黄伟 , 林毅 et al. 一种基于潜在冲突分析的车路协同换道决策与控制方法 : CN202411575993.5. | 2024-11-06 . |
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针对目前交通检测在特殊交通工具类型的场景适应性较差、车辆漏检和误检频发等问题,提出了1种基于普适性和特适性需求相融合的交通检测方法.该方法通过设计同时汲取普适性场景特征与特适性交通工具特征的数据集,利用迁移学习的思路,冻结YOLOv5模型的主干网络,并使用DIoU-NMS算法代替经典的NMS算法,以减少漏检的情况,实现对特定交通场景的快速精准检测.实验结果表明,改进的交通检测模型算法与目前常见的几种模型算法相比,均值平均精确率(mAP)分别提高了8.9%、10.9%、5.0%,且在不同的场景下依然具有良好的鲁棒性.
Keyword ：
DIoU-NMS DIoU-NMS 交通检测 交通检测 冻结网络 冻结网络
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| GB/T 7714 | 鲍日湧 , 张康宜 , 林毅 et al. 基于普适性和特适性融合的交通检测方法研究 [J]. | 交通工程 , 2024 , 24 (03) : 91-96 . |
| MLA | 鲍日湧 et al. "基于普适性和特适性融合的交通检测方法研究" . | 交通工程 24 . 03 (2024) : 91-96 . |
| APA | 鲍日湧 , 张康宜 , 林毅 , 连培昆 . 基于普适性和特适性融合的交通检测方法研究 . | 交通工程 , 2024 , 24 (03) , 91-96 . |
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This paper proposes two sustainable lane-changing (LC) decision-making models for application in intelligent-connected (I-C) and mixed-traffic environments. The models, with their unique ap-proach, calculate the LC impact area of the vehicles, assess the interaction with other LC vehicles, and consider factors such as LC conflicts, the number of connected collaborative vehicles, and the overall benefits of LC to determine the final LC vehicle. The feasibility of lane changing is also considered when selecting the execution decision. The simulation results indicate that the proposed models effectively enhance traffic efficiency. Specifically, the models maintain good LC performance when the proportion of I-C vehicles exceeds 0.85 in mixed-traffic environments. The models effectively optimize LC conflicts, improve LC efficiency and sustainability, and contribute to the development of sustainable transportation in the future. © 2024, The Authors. All rights reserved.
Keyword ：
Decision making Decision making Efficiency Efficiency Sustainable development Sustainable development Vehicles Vehicles
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| GB/T 7714 | Lian, Peikun , Fang, Xushan , Huang, Wei et al. Exploring Sustainable Lane-Change Behaviors — Integrated Approach to Modeling Mixed Traffic with Auto-Mated Vehicles [J]. | SSRN , 2024 . |
| MLA | Lian, Peikun et al. "Exploring Sustainable Lane-Change Behaviors — Integrated Approach to Modeling Mixed Traffic with Auto-Mated Vehicles" . | SSRN (2024) . |
| APA | Lian, Peikun , Fang, Xushan , Huang, Wei , Wang, Chao , Easa, Said M. , Lin, Shuang et al. Exploring Sustainable Lane-Change Behaviors — Integrated Approach to Modeling Mixed Traffic with Auto-Mated Vehicles . | SSRN , 2024 . |
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Mainline coordinated control is usually based on fixed speed and statistical traffic flow by period. However, in actual operation, the vehicles parked in front of the intersection and the arriving vehicles often fluctuate, and the through-traffic green time is wasted due to phase transition, which leads to mismatches between the signal plans and actual traffic flow requirements, affecting the traffic efficiency of the intersection. To address the above issues, using vehicle-road collaborative control (VRCC), by calculating the phase difference lead time and phase difference of adjacent intersections, the green extension time for the green wave through-traffic phase, and the guiding vehicle speed, the goal of reducing the detention volume of through traffic, reducing the waste of through-traffic green time caused by phase transitions and improving the throughput of through traffic can be achieved. The speed of the green wave traffic flow is increased by guiding vehicles to form saturated platoons during green periods. Finally, PTV VISSIM 4.3 was used for simulation verification, and the results showed that compared to not implementing the control strategy, the average delay on the arterial road was reduced by 85.1%, the average number of stops was reduced by 84.3%, the average travel time was reduced by 34%, and the average queue length was reduced by 62.6%. This significantly improved the efficiency of traffic on the arterial road and effectively reduced congestion.
Keyword ：
arterial signal coordination arterial signal coordination dynamic adjustment dynamic adjustment phase difference phase difference signalized intersections signalized intersections speed guidance speed guidance traffic simulation traffic simulation vehicle-road collaboration vehicle-road collaboration
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| GB/T 7714 | Bao, Riyong , Huang, Wei , Lin, Yi et al. Green Wave Arterial Cooperative Control Strategy Based on Through-Traffic Priority [J]. | ELECTRONICS , 2024 , 13 (15) . |
| MLA | Bao, Riyong et al. "Green Wave Arterial Cooperative Control Strategy Based on Through-Traffic Priority" . | ELECTRONICS 13 . 15 (2024) . |
| APA | Bao, Riyong , Huang, Wei , Lin, Yi , Lian, Peikun , Easa, Said M. , Chen, Ning . Green Wave Arterial Cooperative Control Strategy Based on Through-Traffic Priority . | ELECTRONICS , 2024 , 13 (15) . |
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In areas with significant changes in traffic demand and high vehicle dispersion at adjacent intersections, such as the surrounding roads of large shopping malls and schools, traffic problems are prone to occur. This is due to the unequal signal cycle lengths used at upstream and downstream intersections, which lead to periodic phase offsets as the cycles progress. To address this, we propose a multi-strategy integrated vehicle-road coordinated control method to tackle traffic flow operational issues caused by the offset characteristics of unequal-cycle adjacent intersections. A multi-strategy combined algorithm and control logic is established, which includes downstream intersection coordinated phase green extension, dynamic offset adjustment, and transitional queue speed guidance. The proposed method can substantially minimize the offset from falling into an incompatible threshold, effectively reducing queuing and early arrival of vehicles in the straight-through direction. It enables arriving vehicles to pass through the intersection without or with minimal stopping. Finally, the effectiveness of the method is validated using simulation experiments. A vehicle-road coordinated simulation verification platform was established, and comparative experiments were designed. The results indicate that the multi-strategy combined vehicle-road coordinated control method proposed in this paper, while ensuring the original through capacity for straight movements, can effectively reduce queue lengths, the number of stops, average vehicle delay, and travel time for single-direction straight lanes. This improvement enhances the efficiency of coordinated movements in the unequal-cycle adjacent intersections.
Keyword ：
dynamic adjustment dynamic adjustment traffic engineering traffic engineering unequal cycle unequal cycle vehicle-road collaboration vehicle-road collaboration vehicle speed guidance vehicle speed guidance
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| GB/T 7714 | Lian, Peikun , Bao, Riyong , Zhang, Kangyi et al. Coordinated Control Method for Unequal-Cycle Adjacent Intersections Using Vehicle-Road Collaboration [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (14) . |
| MLA | Lian, Peikun et al. "Coordinated Control Method for Unequal-Cycle Adjacent Intersections Using Vehicle-Road Collaboration" . | APPLIED SCIENCES-BASEL 14 . 14 (2024) . |
| APA | Lian, Peikun , Bao, Riyong , Zhang, Kangyi , Easa, Said M. , Jiang, Zhengyi , Chen, Ning . Coordinated Control Method for Unequal-Cycle Adjacent Intersections Using Vehicle-Road Collaboration . | APPLIED SCIENCES-BASEL , 2024 , 14 (14) . |
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研究多目标约束下的智能路侧设施优化布设方法，构建设备成本、平均可靠性、平均管控效果等多目标约束的优化框架，并引入遗传算法结合AHP层次分析法等评价方法，提出多目标约束的智能路侧设施优化布设模型。其次，选用多品牌、多种类智能路侧设施开展案例分析，以遗传算法求解最优解。为验证模型灵敏度，本文还通过灵敏度分析验证了所设计的模型在侧重某一指标的应用效果：相较于专家给定的α、β、γ(平均管控效果、设备成本、平均可靠性对应权重值),侧重平均可靠性指标提升6.67%,侧重设备成本指标降低了27.82%,侧重平均管控效果指标有一定提升。实验结果表明本文模型在面向多品牌、多种类的智能路侧设施选型布设和实际动态需求具有可行性。
Keyword ：
优化布设 优化布设 多目标约束 多目标约束 平均交通管控效果 平均交通管控效果 平均可靠性 平均可靠性 智能路侧设施 智能路侧设施 设备成本 设备成本
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| GB/T 7714 | 林毅 , 钟琳凯 , 曾琪婷 et al. 多目标约束的智能路侧设施优化布设方法研究 [J]. | 交通工程 , 2024 , 24 (11) : 20-29,36 . |
| MLA | 林毅 et al. "多目标约束的智能路侧设施优化布设方法研究" . | 交通工程 24 . 11 (2024) : 20-29,36 . |
| APA | 林毅 , 钟琳凯 , 曾琪婷 , 张道智 , 陈鲁川 , 陈宁 et al. 多目标约束的智能路侧设施优化布设方法研究 . | 交通工程 , 2024 , 24 (11) , 20-29,36 . |
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本发明提出一种基于直行优先的干线绿波车路协同控制策略，通过路侧设备采集上游交叉口的左右转汇入量及当前交叉口前一周期的直行滞留量，计算相邻两交叉口的相位差提前时间和相位差，以减少直行车流的行程时间；通过路侧设备采集绿波直行相位绿灯期间的车辆到达数据，再计算绿波直行相位的绿灯延长时间，以减少直行车流的车辆滞留量；最后通过路侧设备、边缘计算设备、OBU设备及路侧显示设备进行车速引导，促进各转向车流保持车队编组，以减少相位过渡造成的直行绿灯时间浪费。
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| GB/T 7714 | 连培昆 , 张康宜 , 鲍日湧 et al. 基于直行优先的干线绿波车路协同控制策略 : CN202310388705.4[P]. | 2023-04-12 . |
| MLA | 连培昆 et al. "基于直行优先的干线绿波车路协同控制策略" : CN202310388705.4. | 2023-04-12 . |
| APA | 连培昆 , 张康宜 , 鲍日湧 , 曾琪婷 , 王超 , 郑似月 et al. 基于直行优先的干线绿波车路协同控制策略 : CN202310388705.4. | 2023-04-12 . |
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本发明涉及一种考虑交叉口渠化及多因素修正的信号交叉口通行预测方法，其特征在于，包括以下步骤：步骤S1 : 计算外围交叉口各进口道车道数量与汇入流量; 步骤S2 : 基于外围交叉口各进口道车道数量与汇入流量，构建系数修正模型；步骤S3 : 构建考虑道路几何条件的信号交叉口通行能力模型，基于系数修正模型修正，并基于修正后的信号交叉口通行能力模型实现对信号交叉口通行能力预测。本发明有效提高信号交叉口通行能力预测精度，可靠性高。
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| GB/T 7714 | 连培昆 , 鲍日湧 , 张康宜 et al. 考虑交叉口渠化及多因素修正的信号交叉口通行预测方法 : CN202310398628.0[P]. | 2023-04-14 . |
| MLA | 连培昆 et al. "考虑交叉口渠化及多因素修正的信号交叉口通行预测方法" : CN202310398628.0. | 2023-04-14 . |
| APA | 连培昆 , 鲍日湧 , 张康宜 , 王超 , 曾琪婷 , 江政毅 et al. 考虑交叉口渠化及多因素修正的信号交叉口通行预测方法 : CN202310398628.0. | 2023-04-14 . |
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