A5101651270- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Traffic control and management
- Traffic and Road Safety
- Evacuation and Crowd Dynamics
- Transportation and Mobility Innovations
- Autonomous Vehicle Technology and Safety
- Urban Transport and Accessibility
- Evaluation Methods in Various Fields
- Human Mobility and Location-Based Analysis
- Evaluation and Optimization Models
- Simulation and Modeling Applications
- Advanced Measurement and Metrology Techniques
- Sensor Technology and Measurement Systems
- Advanced Control Systems Optimization
- Vehicle emissions and performance
- Safety Warnings and Signage
- Time Series Analysis and Forecasting
- Fault Detection and Control Systems
- Business Process Modeling and Analysis
- Water resources management and optimization
- Anomaly Detection Techniques and Applications
- Energy Load and Power Forecasting
- Sharing Economy and Platforms
- Research studies in Vietnam
Central China Normal University
2024-2025
Guizhou Electromechanical Research and Design Institute
2024
Shanxi Electromechanical Design and Research Institute
2023-2024
Tsinghua University
2007-2020
North China University of Technology
2020
Central University of Finance and Economics
2020
Beihang University
2019
Guangxi University
2019
Yonyou (China)
2019
University Town of Shenzhen
2018
Transportation is an important factor that affects energy consumption, and driving behavior one of the main factors affecting vehicle fuel consumption. The purpose this paper to improve consumption monitoring databases based on mobile phone data. Based terminals on-board diagnostic system (OBD) installed in taxis, data are extracted, respectively. By matching collected by a with OBD, correlation between explored, so could be predicted prediction models built using back propagation (BP)...
Urban land use mapping is crucial for effective urban management and planning due to the rapid change of processes. State-of-the-art approaches rely heavily on socioeconomic, topographical, infrastructural cover information environments via feeding them into ad hoc classifiers classification. Yet, major challenge lies in lack a universal reliable approach extraction combination physical socioeconomic features derived from remote sensing imagery social data. This article proposes an...
Autonomous driving related researches require the analysis and usage of massive amounts scenario data. Compared to raw data collected by sensors, provide a preliminary abstraction tasks processes, explicitly integrate information about road environment dynamic static attributes traffic participants, making it easier conduct task understanding decision making. However, many existing datasets have following two problems. First, is not clear which fields need be recorded for scenarios. The...
This paper addresses the optimization of scheduling for workers at a logistics depot using combination genetic algorithm and simulated annealing algorithm. The efficient permanent temporary is crucial optimizing efficiency while minimizing labor usage. study begins by establishing 0-1 integer linear programming model, with decision variables determining each time slot on given day. objective function aims to minimize person-days, constraints ensure fulfillment hourly requirements, limit one...
Knowledge of vehicle headway distribution is very important for intelligent transportation and simulations. Various models have been proposed, but most them only fit a certain traffic situation. To solve this problem, we study the dependence distributions on status in paper. Results show that log-normal model adequate fitting data when free flow status; while log-logistic more suitable congestion status. This conclusion useful signal optimization algorithm, since it indicates should apply...
The Jianghan Plain (JHP) is a key agricultural area in China where efficient water use (AWUE) vital for sustainable management, food security, environmental sustainability, and economic growth. This study introduces novel AWUE prediction model the JHP, combining BP neural network with Sparrow Search Algorithm (SSA) an improved Tent Mixing (Tent-SSA-BPNN). hybrid addresses limitations of traditional methods by enhancing forecast accuracy stability. By integrating historical data factors,...
Increasing efforts are devoted to test and improve the performance of commercial traffic simulation software now. However, most previous approaches emphasized microscopic car-following lane-changing features but neglect macroscopic dynamics. In this paper, we compare flow phase transition behaviors three popular software: PARAMICS 6.5, TransModeler 2.0 VISSIM 5.1 on a single yet typical scenario. Our testing re-sults show that their slight differences in models can be appropriately magnified...
Great changes are taking place in Chinese economic and societal life during the last decade, which brings significantly increasing pressure to transportation systems of most cities. For example, Beijing, vehicles now fiercely competing for right roads with existing large amount bicycles. Because many streets Beijing not fully channelized separate bicycles, such competition leads notable growth traffic accidents decline efficiency. This important matter has attracted growing research...
Freeway congestion usually occurs in on-ramp areas; however, it also around off-ramp areas and can even spill back onto the main line, which is common on many congested urban freeways during peak hours. Nevertheless, traditional ramp metering strategies, one of most successful approaches to reducing freeway congestion, have not considered traffic dynamics. Therefore, this study proposes a destination-aware coordinated model for preventing queue spillover mainstream congestion. The...
Two characteristics of Chinese mixed traffic invalidate the conventional queuing delay estimates for western countries. First, driving drivers lead to different delays even though other conditions are same. Second, urban flow in China is often hindered by pedestrians at intersections, such that imported intelligent control systems do not work appropriately. Typical were obtained from data over 500 vehicle queues Beijing collected using charge coupled device (CCD) cameras. The results show...
Analyzing road risks and developing targeted countermeasures are essential for a safe orderly traffic flow. However, previous intersection safety analyses were conducted based on crash data. Little research has been surrogate measures risky driving behavior. In this study, categorical boosting (CatBoost) Shapley additive explanation (SHAP) used to analyze the impact of features order using set multisource data that include roadway geometry, signal control, land use. The entrances in Beijing...
Magnetic encoders have widespread applications in various fields, such as aerospace, automotive, robot joint control, and machine tool turntables. For instance, obtaining accurate rotation angles of motors is crucial for servo motor control. Herein, we propose an angle-solving algorithm based on a dual-multipair pole magnetic encoder. First, analyze the nonlinearity issue caused by installation error Hall signal devise self-adjustment analog signal. Second, improve high speed robustness...
As a typical example of the sharing economy, ride-sharing, in theory, can improve market efficiency and enhance welfare consumers service suppliers. However, negative externalities resulted from such as quasi-public goods, are often overlooked. In this paper, we used AutoNavi's big data to measure traffic congestion cities, built DID, PSM-DID DDD models analyse impact subsidy war among ride-sharing companies on Shanghai. The led an increase index Shanghai by 0.068–0.077, which was equivalent...
Urban transit networks need to be upgraded in accordance with urban development. While methods have been studied design an optimal network given the locations of stations, these focus on whole as optimization object. However, strategy improve parts existing based gap between travel demand and infrastructure supply is rarely investigated. Different same should not priority upgraded. An evaluation method required for this purpose decide which a first. We argue that Ollivier-Ricci curvature,...
Ramp metering is an effective measure to alleviate freeway congestion. Traditional methods were mostly based on fixed-sensor data, by which origin-destination (OD) patterns cannot be directly collected. Nowadays, trajectory data are available track vehicle movements. OD can estimated with weaker assumptions and hence closer reality. improved this advantage. This paper extracts historical data. A validation test proposed guarantee the sample representativeness of trajectories then implement...
Purpose Most of the linear encoders are based on optics. The accuracy and reliability these greatly reduced in polluted noisy environments. Moreover, have a complex structure large sensor volume thus not suited to small application scenarios do universality. This paper aims present new absolute magnetic encoder, which has simple structure, size wide range. Design/methodology/approach effect swing error is analyzed for structural arrangement. A double-threshold interval algorithm then...
The Han River Ecological Economic Belt (HREEB) has a substantial amount of water resources; however, its distribution is uneven, and issues such as seasonal engineering shortages are prevalent. This necessitates thorough assessment the current resource situation trends in carrying capacity (WRCC) to provide scientific support for rational allocation resources. study employed RAGA-PP model establish WRCC evaluation index system composed four subsystems: resources, economy, society, ecological...
To explore the potential benefits of bus priority based on signal phasing strategy, this article proposes a simplified statistical sampling method to simulate vehicle delays at intersections instead using conventional microscopic traffic simulations. This greatly reduces calculation cost and time while maintaining estimation accuracy delay. research provides surrogate testing system tests intuitive strategies that shorten average waiting queuing vehicles by letting certain buses pass...