首页期刊导航|上海交通大学学报（英文版）
期刊信息/Journal information
上海交通大学学报（英文版）
上海交通大学学报（英文版）

郑杭

双月刊

1007-1172

xuebao2006@sjtu.edu.cn

021-62933373

200030

上海市华山路1954号上海交通大学

上海交通大学学报（英文版）/Journal Journal of Shanghai Jiaotong University(Science)EI
查看更多>>本刊是由上海交通大学主办的自然科学综合性学术期刊。它以马列主义、毛泽东思想和邓小平理论为指导。以促进科学技术发展、培育科技人才、为社会主义现代化建设服务为宗旨。本刊主要刊载船舶与海洋工程、动力、机械、能源、材料、电气、电子、计算机、化工、生物工程、管理科学，以及数学、物理、工程力学等方面的最新研究成果。本刊为中国自然科学核心期刊和中国科技论文统计用刊源之一。
正式出版
收录年代

    Travel Intention with Shared Electric Vehicles Based on Theory of Multiple Motivations for Urban Governance

    BAO LewenMIAO RuiCHEN ZhihuaZHANG Bo...
    1-9页
    查看更多>>摘要：Determining the travel intention of residents with shared electric vehicles(EVs)is significant for promoting the development of low-carbon transportation,considering that common problems such as high idle rate and lack of attractiveness still exist.To this end,a structural equation model(SEM)based on the theory of multiple motivations is proposed in this paper.First,the influencing motivations for EV sharing are divided into three categories:consumer-driven,program-driven,and enterprise-driven motivations.Then,the intentions of residents in Shanghai to travel with shared EVs are obtained through a survey questionnaire.Finally,an SEM is constructed to analyze quantitatively the impact of different motivations on the travel intention.The results show that consumer-driven motivations with impact weights from 0.14 to 0.63 have the overwhelming impact on travel intention,compared to program-driven motivations with impact weights from-0.14 to 0.15 and enterprise-driven motivations with impact weights from 0.02 to 0.06.In terms of consumer-driven motivations,the weight of green travel awareness is the highest.The implications of these results on the policy to enable large-scale implementation of shared EVs are discussed from the perspectives of the resident,enterprise,and government.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Intelligent Speed Limit System for Safe Expressway Driving in Rainy and Foggy Weather Based on Internet of Things

    YAN BeiruiFANG ChengQIU HaoZHU Wenfeng...
    10-19页
    查看更多>>摘要：The feature bends and tunnels of mountainous expressways are often affected by bad weather,specif-ically rain and fog,which significantly threaten expressway safety and traffic efficiency.In order to solve this problem,a vehicle-road coordination system based on the Internet of Things(IoT)is developed that can share vehicle-road information in real time,expand the environmental perception range of vehicles,and realize vehicle-road collaboration.It helps improve traffic safety and efficiency.Further,a vehicle-road cooperative driving assistance system model is introduced in this study,and it is based on IoT for improving the driving safety of mountainous expressways.Considering the influence of rain and fog on driving safety,the interaction between rainfall,water film,and adhesion coefficient is analyzed.An intelligent vehicle-road coordination assistance system is constructed that takes in information on weather,road parameters,and vehicle status,and takes the stopping sight distance model as well as rollover and sideslip model as boundary constraints.Tests conducted on a real expressway demonstrated that the assistance system model is helpful in bad weather conditions.This system could promote intelligent development of mountainous expressways.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Action-Aware Encoder-Decoder Network for Pedestrian Trajectory Prediction

    FU JiaweiZHAO Xu
    20-27页
    查看更多>>摘要：Accurate pedestrian trajectory predictions are critical in self-driving systems,as they are fundamental to the response-and decision-making of ego vehicles.In this study,we focus on the problem of predicting the future trajectory of pedestrians from a first-person perspective.Most existing trajectory prediction methods from the first-person view copy the bird's-eye view,neglecting the differences between the two.To this end,we clarify the differences between the two views and highlight the importance of action-aware trajectory prediction in the first-person view.We propose a new action-aware network based on an encoder-decoder framework with an action prediction and a goal estimation branch at the end of the encoder.In the decoder part,bidirectional long short-term memory(Bi-LSTM)blocks are adopted to generate the ultimate prediction of pedestrians'future trajectories.Our method was evaluated on a public dataset and achieved a competitive performance,compared with other approaches.An ablation study demonstrates the effectiveness of the action prediction branch.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Electric Vehicle Charging Situation Awareness for Ultra-Short-Term Load Forecast of Charging Stations

    SHI YiweiLIU ZeyuFENG DonghanZHOU Yun...
    28-38页
    查看更多>>摘要：Electric vehicles(EVs)are expected to be key nodes connecting transportation-electricity-communication networks.Advanced automotive electronics technologies enhance EVs'perception,computing,and communication capacity,which in turn can boost the operational efficiency of intelligent transportation sys-tems(ITSs).EVs couple the ITS to the power system,providing a promising solution to charging congestion and transformer overload via navigation and forecasting approaches.This study proposes a privacy-preserving EV charging situation awareness framework and method to forecast the ultra-short-term load of charging stations.The proposed method only relies on public information from commercial service providers.In the case study,data are powered by the Baidu LBS cloud and EV-SGCC platform,and the experiment is conducted within an area of Pudong New District in Shanghai.Based on the results,the charging load of charging stations can be adequately forecasted more than 1 min ahead with low communication and computing power requirements.This research provides the basis for further studies on operation optimization and electricity market transaction of charging stations.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Research on the Real-Time Dynamic Evaluation of Public Transport Passenger Service Satisfaction Based on the Internet

    LUO JingZHOU DaiTAN YunlongXIA Ganlin...
    39-51页
    查看更多>>摘要：The current method of evaluating passenger satisfaction primarily adopts the traditional static evalu-ation mode,which can hardly satisfy the dynamic regulatory requirements of highway passenger transport service quality set by industry management departments.In this paper,we summarize the characteristics of real-time dynamic evaluation under the requirements of hierarchical and classified evaluation and analyze the entire process of the one-time travel service of highway passenger transport.We focus on station waiting and in-vehicle services,extract the elements most concerned by passengers as evaluation indexes,and construct a three-level index sys-tem.Subsequently,a multi-indicator comprehensive evaluation method based on the analytic hierarchy process and fuzzy comprehensive evaluation is selected to construct a comprehensive evaluation model.By combining with the development level of electronic ticket purchasing and the requirements of satisfaction evaluation,we propose three data collection methods and compare and analyze their strengths and weaknesses.Finally,based on actual survey data,the effectiveness of the model is verified.The verification results show that the real-time dynamic evaluation index system based on the Internet can better satisfy evaluation requirements.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Spatial-Temporal Correlation 3D Vehicle Detection and Tracking System with Multiple Surveillance Cameras

    XUE WeipengWU MinghuWANG Lin
    52-60页
    查看更多>>摘要：Compared to 3D object detection using a single camera,multiple cameras can overcome some limita-tions on field-of-view,occlusion,and low detection confidence.This study employs multiple surveillance cameras and develops a cooperative 3D object detection and tracking framework by incorporating temporal and spatial information.The framework consists of a 3D vehicle detection model,cooperatively spatial-temporal relation scheme,and heuristic camera constellation method.Specifically,the proposed cross-camera association scheme combines the geometric relationship between multiple cameras and objects in corresponding detections.The spatial-temporal method is designed to associate vehicles between different points of view at a single timestamp and fulfill vehicle tracking in the time aspect.The proposed framework is evaluated based on a synthetic co-operative dataset and shows high reliability,where the cooperative perception can recall more than 66％of the trajectory instead of 11％for single-point sensing.This could contribute to full-range surveillance for intelligent transportation systems.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Infrastructure-Based Vehicle Localization System for Indoor Parking Lots Using RGB-D Cameras

    CAO BingquanHE YueshengZHUANG HanyangYANG Ming...
    61-69页
    查看更多>>摘要：Accurate vehicle localization is a key technology for autonomous driving tasks in indoor parking lots,such as automated valet parking.Additionally,infrastructure-based cooperative driving systems have become a means to realizing intelligent driving.In this paper,we propose a novel and practical vehicle localization system using infrastructure-based RGB-D cameras for indoor parking lots.In the proposed system,we design a depth data preprocessing method with both simplicity and efficiency to reduce the computational burden resulting from a large amount of data.Meanwhile,the hardware synchronization for all cameras in the sensor network is not implemented owing to the disadvantage that it is extremely cumbersome and would significantly reduce the scalability of our system in mass deployments.Hence,to address the problem of data distortion accompanying vehicle motion,we propose a vehicle localization method by performing template point cloud registration in distributed depth data.Finally,a complete hardware system was built to verify the feasibility of our solution in a real-world environment.Experiments in an indoor parking lot demonstrated the effectiveness and accuracy of the proposed vehicle localization system,with a maximum root mean squared error of 5 cm at 15 Hz compared with the ground truth.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Lidar-Visual-Inertial Odometry with Online Extrinsic Calibration

    MAO TianyangZHAO WentaoWANG JingchuanCHEN Weidong...
    70-76页
    查看更多>>摘要：To achieve precise localization,autonomous vehicles usually rely on a multi-sensor perception system surrounding the mobile platform.Calibration is a time-consuming process,and mechanical distortion will cause extrinsic calibration errors.Therefore,we propose a lidar-visual-inertial odometry,which is combined with an adapted sliding window mechanism and allows for online nonlinear optimization and extrinsic calibration.In the adapted sliding window mechanism,spatial-temporal alignment is performed to manage measurements arriving at different frequencies.In nonlinear optimization with online calibration,visual features,cloud features,and inertial measurement unit(IMU)measurements are used to estimate the ego-motion and perform extrinsic calibration.Extensive experiments were carried out on both public datasets and real-world scenarios.Results indicate that the proposed system outperforms state-of-the-art open-source methods when facing challenging sensor-degenerating conditions.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Indoor Vehicle Positioning Based on Multi-Sensor Data Fusion

    WANG MingyangSHI LiangrenLI Yuanlong
    77-85页
    查看更多>>摘要：This study proposes a Kalman filter-based indoor vehicle positioning method for cases in which the steering angle and rotation speed of the vehicle's wheels are unknown.By fusing the position and velocity data from the ultra-wideband sensors and acceleration and orientation data from the inertial measurement unit,we developed two algorithms to estimate the real-time position of the vehicle based on a linear Kalman filter and extended Kalman filter,respectively.We then conducted simulations and experiments to examine the performances of the algorithms.In the experiment,the Kalman filtering hyperparameters are configured,and we then ran the two algorithms to determine the positioning precision and accuracy with the ground truth produced via LiDAR.We verified that our method can improve precision and accuracy compared with the raw positioning data and can achieve desirable effects for indoor vehicle positioning when vehicles travel at low speeds.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Ant Colony Algorithm for Path Planning Based on Grid Feature Point Extraction

    LI ErchaoQI Kuankuan
    86-99页
    查看更多>>摘要：Aimed at the problems of a traditional ant colony algorithm,such as the path search direction and field of view,an inability to find the shortest path,a propensity toward deadlock and an unsmooth path,an ant colony algorithm for use in a new environment is proposed.First,the feature points of an obstacle are extracted to preprocess the grid map environment,which can avoid entering a trap and solve the deadlock problem.Second,these feature points are used as pathfinding access nodes to reduce the node access,with more moving directions to be selected,and the locations of the feature points to be selected determine the range of the pathfinding field of view.Then,based on the feature points,an unequal distribution of pheromones and a two-way parallel path search are used to improve the construction efficiency of the solution,an improved heuristic function is used to enhance the guiding role of the path search,and the pheromone volatilization coefficient is dynamically adjusted to avoid a premature convergence of the algorithm.Third,a Bezier curve is used to smooth the shortest path obtained.Finally,using grid maps with a different complexity and different scales,a simulation comparing the results of the proposed algorithm with those of traditional and other improved ant colony algorithms verifies its feasibility and superiority.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普