Zhiming Ding

Dados Biográficos

ID9964856
NOMEZhiming Ding
PRENOMESZhiming
SOBRENOMEDing
ASSINATURADING Z
AFILIAÇÕESChinese Academy of Sciences
ORCID0000-0002-2057-5325
VERIFICADOSim
TOTAL DE OBRAS9
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR9
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0

  • Dynamic Weighted Road Network Based Multi-Vehicles Navigation and Evacuation

    Open AccessZhi Cai, Tao Wang et al.ARTICLEISPRS International Journal of…2023

    Many events such as large-scale activities and traffic accidents could cause an increase in vehicle density in an area, which makes the evacuation of vehicles important. However, the existing evacuation methods are not efficient limit to multi-vehicles sequences or destinations. In this paper, we introduce a novel dynamic weighted road network model for route planning. Based on the model, the route planning algorithm can obtain higher search effi…

  • Dynamic Grid-Based Spatial Density Visualization and Rail Transit Station Prediction

    Open AccessZhi Cai, Meilin Ji et al.ARTICLEISPRS International Journal of…2021

    The urban rail transit stations are an important part of an urban transit system. Scientific and reasonable location of rail transit station can greatly alleviate traffic pressure. The number of people in the surrounding area of a rail transit station is an important factor for site selection. However, it is difficult to obtain the spatial distribution of population, which brings great difficulties in terms of site selection. Due to the large-sca…

  • A Novel Traffic Flow Reduction Method Based on Incomplete Vehicle History Spatio-Temporal Trajectory Data

    Bowen Yang, Zunhao Liu et al.

    In order to improve the effect of path planning in emergencies, the missing position imputation and velocity restoration in vehicle trajectory provide data support for emergency path planning and analysis. At present, there are many methods to fill in the missing trajectory information, but they basically restore the missing trajectory after analyzing a large number of datasets. However, the trajectory reduction method with few training sets need…

  • Next Point-of-Interest Recommendation Based on Joint Mining of Spatial–Temporal and Semantic Sequential Patterns

    Jing Tian, Zilin Zhao et al.

    With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user’s check-in behavior at the current moment by analyzing and mining the correlations between the user’s check-in behaviors within his/her historical trajectory and then recommending the POI that the user is most likely to visit at the next time step. However, the us…

  • Latent Semantic Sequence Coding Applied to Taxi Travel Time Estimation

    Zilin Zhao, Yuanying Chi et al.

    Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shallow feature engineering. Nevertheless, they have limited performance in learning complex moving patterns. Thus, a Latent Semantic Pulse Sequence-based Deep Neural Network (LSPS-DNN) is proposed in thi…

  • A Novel Heuristic Emergency Path Planning Method Based on Vector Grid Map

    Bowen Yang, Yan Jin et al.

    Emergency path planning technology is one of the research hotspots of intelligent transportation systems. Due to the complexity of urban road networks and congested road conditions, emergency path planning is very difficult. Road congestion caused by urban emergencies directly affects the original road network structure. In this way, the static weight of the original road network is no longer suitable as the basis for path recommendation. To hand…

  • A Novel Trajectory Based Prediction Method for Urban Subway Design

    Zhi Cai, Jiawei Wang et al.

    In recent years, with the development of various types of public transportation, they are also more and more closely connected. Among them, subway transportation has become the first choice of major cities. However, the planning of subway stations is very difficult and there are many factors to consider. Besides, few methods for selecting optimal station locations take other public transport in to consideration. In order to study the relationship…

  • Skyline-Based Sorting Approach for Rail Transit Stations Visualization

    Zhi Cai, Fangzhe Liu et al.

    Urban rail transit is an essential part of the urban public transportation system. The reasonable spatial data visualization of urban rail transit stations can provide a more intuitive way for the majority of travelers to arrange travel plans and find destinations. The map service of rail transit stations generated by data visualization has gradually become indispensable information guidance in the rail transit system. The existing map service ic…

  • A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context

    Mengmeng Chang, Yuanying Chi et al.

    In the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide transportation behavior. On-demand access to taxi services can effectively reduce the additional carbon emissions caused by cruising, which in turn increa…