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International Conference on transportation Information and Safety (ICTIS)

作者： Zhongquan Qiu Hongxia Yuan Chao Wang Shideng Dai Yamin Huo Yi Wen School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Hi-Tech Industrial Development Zone Chengdu China School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Transportation Southwest Jiaotong University Hi-Tech Industrial Development Zone Chengdu China Department of Civil and Environmental Engineering University of Tennessee Knoxville TN USA

ISBN: (纸本)9781665497145

Shared e-scooter has become a popular mode of transportation in the United States. Despite the increasing attention paid to the e-scooter patterns and the influencing factors of e-scooter trips, few studies have explored the relative importance of the built environment and its threshold effect on e-scooters. Using the trip records of all the shared e-scooters in Austin, Texas, USA from August 2018 to March 2021, the origins and destinations of which are recorded by census tract, this study employs gradient boosting decision trees (GBDT) to examine the non-linear effects of the built environment on the e-scooter ridership. The results show that the relative importance of all built environment factors, with a contribution of 70.45%, is higher than that of socio-demographics (29.54%), and the distance from census tract to city center and bike lane density are the two most essential attributes to e-scooter ridership. Besides, all built environment factors have salient non-linear and threshold effects on the e-scooter ridership. For example, distance to the city center has a significant negative impact on e-scooter trips with an effective range of 6.5 kilometers, and the bike lane density is positively associated with the e-scooter ridership in a certain range. By quantifying each built environment factor's relative importance and threshold effect on e-scooters, this paper can provide e-scooter operators with fleet deployment and operation management suggestions and guide planning departments to build an e-scooter-friendly environment.

关键词： Correlation Employment Urban planning Motorcycles Bicycles Boosting Safety

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Integrated Optimization of Traffic Signals and Vehicle Trajectories for Mixed Traffic at Signalized Intersections: A Two-Level Hierarchical Control Framework

SSRN

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SSRN 2024年

作者： Zou, Yangang Zheng, Fangfang Liu, Can Liu, Xiaobo School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Western Hi-tech Zone Sichuan Chengdu611756 China

With the rapid advancement of connected and automated vehicle (CAV) technology, the integrated optimization of traffic signals and vehicle trajectories has emerged as a promising approach to enhance intersection performance. However, the complexity of this integrated optimization problem requires substantial computational resources, rendering existing methods impractical for real-time applications. To address this challenge, this paper presents a two-level hierarchical control framework for mixed traffic, which provides a computationally efficient solution to the integrated optimization problem of traffic signals and vehicle trajectories, while maintaining high performance. At the upper level, instead of considering individual vehicles, this study introduces a platoon-based mixed integer linear programming (PMILP) model to jointly optimize signal timing and desired arrival times, with the main objective of minimizing traffic delay. Building upon the optimized desired arrival times, a Nash-based distributed model predictive control (DMPC) method is developed at the lower level to optimize CAV trajectories for eco-driving. Numerical experiments are conducted to assess the performance of the proposed method. The results demonstrate that the integrated optimization approach significantly reduces traffic delay, fuel consumption, and idling time, while simultaneously enhancing driving comfort. Notably, the proposed method achieves these improvements with a high level of computational efficiency. © 2024, The Authors. All rights reserved.

关键词： Traffic signals

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Automatic Labeling for Gene-Disease Associations through Distant Supervision

Automatic Labeling for Gene-Disease Associations through Dis...

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International Conference on Intelligent System and Knowledge engineering, ISKE

作者： Fei Teng Meng Bai Tianrui Li Institute of Artificial Intelligence National Engineering Laboratory of Integrated Transportation Big Data Application Technology School of Information Science Technology Southwest Jiaotong University Chengdu China

ISBN: (数字)9781728123486

ISBN: (纸本)9781728123493

Associating genes with diseases is a fundamental challenge in human health with applications of understanding disease properties and developing precision medicine. Over the past decades, biomedical articles increase explosively, which contain a great number of gene-disease associations (GDAs). Association extraction requires annotated corpus of high accuracy, but manual labeling is time consuming and labor intensive. This paper proposes a distant supervision-based method, to automatically label corpus for GDAs extraction. Compared with the manually annotated gold corpus, the automatic labeled corpus has much larger scale and better quality. It improves the performance of state-of-the-art extraction models, with AUC of 0.96, and F1 of 90%. To the best of our knowledge, this is the first study of automatic labeling GDAs in the field of precision medicine. We extracted GDAs using new corpora from 115,261 PubMed abstracts about 29 lung cancers, and finally discovered 296 new genes/proteins related to lung cancers. These findings indicate new directions for drug design.

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Life cycle assessment of green production of glass substrate 20th

Life cycle assessment of green production of glass substrate

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20th Chinese Materials Conference, CMC 2019

作者： Wang, Yulong Gong, Xianzheng Sun, Boxue College of Materials Science and Engineering Beijing University of Technology No. 100 Ping Le Yuan Chaoyang District Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology No. 100 Ping Le Yuan Chaoyang District Beijing100124 China

ISBN: (纸本)9783035715668

In this study, the LCA assessment model of CML was employed to analyze the environmental burden caused by the production of glass substrates, and the evaluation of the environmental performance of five stages of preparation of ingredients, including glass melting, precision clarification, overflow molding and post process, was also conducted. The results show that the global warming potential is the dominant impact category in the comprehensive environmental burden with a normalized value of 4.64×10-14, followed by the acidification potential (2.57×10-14), photochemical oxidation potential (2.82×10-15). And the relative contribution of abiotic depletion potential and human toxicity to the comprehensive environmental burden is rather limited, with the normalized values of 8.31×10-17 and 1.21×10-16, respectively. The single score of environmental impact due to the whole production system is 2.37×10-13, wherein the environmental impact values of the processes of preparation of ingredients, glass melting, precision clarification, overflow molding, and post are 1.07×10-15, 9.10×10-14 (highest), 2.26×10-14, 7.36×10-14, and process 4.90×10-14, respectively. The preparation of the batch, the glass melting, the overflow molding and the post process mainly cause the environmental effects of global warming potential and acidification potential, the cumulative values of which are 1.13×10-13 and 9.01×10-14, respectively. The precision clarification stage mainly causes the environmental effect of acidification potential, the value of which is 2.02×10-14 and much higher than those of other environmental impact categories. © 2020 Trans Tech Publications Ltd, Switzerland.

关键词： Life cycle

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Bicycle Crossing Design and Signal Control Optimization for the Symmetric Intersection

Bicycle Crossing Design and Signal Control Optimization for ...

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International Conference on transportation Information and Safety (ICTIS)

作者： Yexin Lin Yugang Liu Liying Tang Shuai Zheng Bin Chen Hongtai Yang School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Chengdu China Institute of Transportation Development Strategy &#x0026 Planning of Sichuan Province Chengdu China

ISBN: (纸本)9781665497145

The symmetric intersection (SI) is a type of unconventional intersection that could increase capacity of the intersection. Although this type of intersection is promising, the bicycle crossing method has not been designed for SI, which prevents it from implementation. In this study, we propose three bicycle crossing designs for the purpose of eliminating the conflict between bicycles and vehicles, and optimize the corresponding signal timing. The first is to reverse the bicycle lane on the right-hand-traffic arterial, so that left-turning bicycles can pass at any time, which can reduce the flow of bicycles through the conflicting area of the intersection. The second is to use an advanced stop line, which moves the stop line backwards and sets up a bicycle waiting area in the front to reduce the conflict between bicycles and vehicles. The third is to set up an exclusive phase for bicycles to separate vehicles and bicycles. A linear programming model that maximizes the capacity of the intersection for vehicles considering constraints such as signal phase and cycle duration is established to calculate the signal timing. A case study is performed to determine the optimal signal timing of each condition. The results show that the scheme of advanced stop lines could reduce delays and increase capacity of the intersection for bicycles, but the capacity for vehicles is reduced, and thus should be used when the traffic demand of motor vehicles is not high. In the condition of high-throughput vehicles, the exclusive phase for bicycles perform better.

关键词： transportation Bicycles Programming Linear programming Safety Delays Optimization

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A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction

arXiv

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arXiv 2024年

作者： Sun, Zhanbo Dong, Caiyin Ji, Ang Zhao, Ruibin Zhao, Yu The School of Transportation and Logistics The National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu China Zelos Intelligent Technology Limited Company Jiangsu Suzhou China

Accurate prediction of future trajectories for surrounding vehicles is vital for the safe operation of autonomous vehicles. This study proposes a Lane Graph Transformer (LGT) model with structure-aware capabilities. Its key contribution lies in encoding the map topology structure into the attention mechanism. To address variations in lane information from different directions, four Relative Positional Encoding (RPE) matrices are introduced to capture the local details of the map topology structure. Additionally, two Shortest Path Distance (SPD) matrices are employed to capture distance information between two accessible lanes. Numerical results indicate that the proposed LGT model achieves a significantly higher prediction performance on the Argoverse 2 dataset. Specifically, the minFDE6 metric was decreased by 60.73% compared to the Argoverse 2 baseline model (Nearest Neighbor) and the b-minFDE6 metric was reduced by 2.65% compared to the baseline LaneGCN model. Furthermore, ablation experiments demonstrated that the consideration of map topology structure led to a 4.24% drop in the b-minFDE6 metric, validating the effectiveness of this model. Copyright © 2024, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Advances and prospects in SAR microwave vision three-dimensional imaging

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national Science Open 2024年第5期3卷 53-83页

作者： Xiaolan Qiu Zekun Jiao Zhe Zhang Qiancheng Yan Chibiao Ding National Key Laboratory of Microwave Imaging Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100190China School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijing 100094China Key Laboratory of Intelligent Aerospace Big Data Application Technology Suzhou 215123China

Synthetic Aperture Radar three-dimensional(3D)imaging enables the acquisition of more comprehensive information,making it a recent hotspot in radar *** 3D imaging methods have evolved from 2D and interferometric imaging,combining elevation aperture extension with signal processing *** such as long acquisition or complex system from its imaging mechanism restrict its *** recent years,rapid development of artificial intelligence has led to a swift advancement in radar,injecting new vitality into SAR 3D *** microwave vision 3D imaging theory,which is built upon advanced technologies,has emerged as a new interdisciplinary field for radar *** paper reviews SAR 3D imaging’s history and present situation,and introduces SAR microwave *** establish a theoretical framework covering representation models,computational models,processing paradigms and evaluation ***,our research progress in this area is discussed,along with future prospects for SAR microwave vision 3D imaging.

关键词： SAR microwave vision 3D imaging visual semantics scattering mechanism

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Freight transportation Structure Adjustment Control with Priority in Energy Consumption in China

SSRN

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SSRN 2022年

作者： Zuo, Dajie Liang, Qichen Zhan, Shuguang Huang, Wencheng Yang, Shenglan Wang, Mengyun School of Transportation and Logistics Southwest Jiaotong University Chengdu611756 China National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation Southwest Jiaotong University Chengdu611756 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu611756 China Key Laboratory of Comprehensive Transportation of Sichuan Province Southwest Jiaotong University Chengdu611756 China

China has set the goal of controlling the total energy consumption to 6 billion tonnes of standard coal by 2030 in an attempt to avoid an energy crisis. Generally, freight transportation is an energy-intensive industry. Controlling the energy consumption of freight transportation is crucial for achieving energy-saving goals in China. In this study, we establish the annual control model for freight transportation structure adjustment from the perspectives of the target year prediction and the intermediate year controlling to control energy consumption in the freight industry. We solve the model and obtain the annual control plan of freight transportation structure adjustment in China (2021-2030). As per the plan, energy consumption will reach its peak in 2029, with 145 million tonnes of standard coal. Lastly, we proposed a series of reasonable policy recommendations. This study will provide a reference for the sustainable development of transportation in China. © 2022, The Authors. All rights reserved.

关键词： Energy utilization

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Research on the application of Business data Fusion in the engineering Management of Oil and Gas Storage and transportation Station 4

Research on the Application of Business Data Fusion in the E...

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4th International Conference on Computer Science and Management technology, ICCSMT 2023

作者： Xie, Rui Fan, Bo Ma, Jianlin Pan, Meng Southwest Pipeline Ltd. PipeChina ChengDu610213 China School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu610031 China Chengdu Aerospace Science and Industry Big Data Institute Ltd. Casic Chengdu610213 China National Engineering Laboratory of Industrial Big-Data Application Technology Casic Chengdu610218 China

ISBN: (纸本)9798400709517

Due to challenges such as complex contractor personnel, a large amount of scattered form data, a cumbersome business implementation process, low levels of digitalization and security, and difficult management in the engineering management business of oil and gas storage and transportation stations, this paper proposes a study on business data fusion application in the engineering management of oil and gas storage and transportation stations. Focused on the business processes and data of engineering management in oil and gas storage and transportation stations, this research establishes and analyzes an architecture for engineering management business in these stations. Using an Artifact-centric data fusion method, the research constructs an information model for the engineering management business, identifying the data topics for this area. Finally, the research applies and verifies the study of business data fusion through real-world business management scenarios. As researchers in the field of business data fusion, this study utilizes digital technologies and methods to enhance the overall safety management of engineering operations, thereby promoting the transformation and upgrading of engineering management business in oil and gas storage and transportation stations © 2023 ACM.

关键词： Information management

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考虑跨服务模式的网约车派单优化

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Journal of Central South University 2023年第2期30卷 642-653页

作者：王印权吴建军孙会君张宇丰吕莹 State Key Laboratory of Rail Traffic Control and Safety(Beijing Jiaotong University) Beijing 100044China Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport of Ministry of Transport(Beijing Jiaotong University) Beijing 100044China Institute of Transportation System Science and Engineering Beijing Jiaotong UniversityBeijing 100044China

为解决多服务模式的网约车市场中所存在的模式间供需时空不匹配的问题,打破模式间派单壁垒,减少车辆无效巡游,提升乘客体验,提出一种基于强化学习的跨模式派单算法。首先,设计跨模式派单的运行规则和相应的仿真环境为算法的训练提供环... 详细信息

为解决多服务模式的网约车市场中所存在的模式间供需时空不匹配的问题,打破模式间派单壁垒,减少车辆无效巡游,提升乘客体验,提出一种基于强化学习的跨模式派单算法。首先,设计跨模式派单的运行规则和相应的仿真环境为算法的训练提供环境支持。其次,针对派单过程中乘客需求动态变化的特点,设计两阶段派单流程。在第一阶段,根据车辆与需求的时空特征确定虚拟派单请求;在第二阶段,采用k最近邻算法对可行派单请求进行细化,选择与虚拟派单请求最为相似的请求作为最终的派单方案。实验表明,与基线方法相比,所提出的跨模式派单算法提升了基础服务模式中3.1%的请求响应率,同时减少了高级服务模式中车辆的空驶时间,实现了更高的经济效益与服务水平。

关键词：网约出行多服务模式跨模式派单强化学习新兴交通系统

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