Prediction Analysis of Daily Ridership at Station Level for New Metro Stations

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Joint COTA International Conference of Transportation Professionals (20.-21. : 2021 : Online) Advanced transportation, enhanced connection ; Volume 1 of 4
1. Verfasser: Li, Pengshun (VerfasserIn)
Weitere Verfasser: Zhang, Yi (VerfasserIn)
Pages:1
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Prediction Analysis of Daily Ridership at Station Level for New Metro Stations 2021 Li, Pengshun
A Study of Condition Based Valuation Method for Pavement Asset Management 2021 Wang, Junzhe
Analysis on Effects of Speed and Acceleration on Mesoscopic Fuel Consumption Prediction Based on Vehicle Energy Dataset 2021 Lin, Guanyu
Research on Pedestrian Target Intelligent Recognition Method Based on Neural Networks and Genetic Algorithms 2021 Wang, Aili
A Review on Social Media Data for Social Transportation 2021 Chen, Yulin
A Roundabout Control for Connected and Automated Traffic 2021 Xia, Fan
Analysis of Factors Contributing to Vehicle-Pedestrian Crash Severity Incorporating Data Imbalance Treatment 2021 Liu, Jinming
Path Inference Filter and Route Choice Model Aided Map-Matching for Low-Frequency GPS Data 2021 Xiao, Pinghui
Precise Occupancy Grid Map Generation Using Only FMCW Radar 2021 Wang, Zhe
Coupling Analysis of Temperature Field and Tower Top Displacement of Concrete Cable-Stayed Bridge 2021 Zhang, Liu-Yu
Change of Traffic with Autonomous Vehicle and Connected Vehicle 2021 Shi, Weiguo
Research on Congestion Path Analysis Algorithm Based on Spatiotemporal Correlation of Traffic State of Urban Road Networks 2021 Chen, Zhi
Auto-Regressive Model with Exogenous Input (ARX) Based Traffic Flow Prediction 2021 Ying, Jun
An RSS Based Ranging Enhancement Method Using Multiple Frequency Bands 2021 Yang, Fen
Bus Operation Diagnostic Indicators and To-Be-Optimized Routes Identification Methods Based on Public Transport Big Data 2021 Zhang, Mengyuan
Flow Estimation of Freeway Section Based on Multi-Source Data 2021 Huang, Shuai
Train Arrival Delay Prediction Based on a CNN-LSTM Approach 2021 Li, Jianmin
Decision-Oriented Driving Scenario Recognition Based on Unsupervised Learning 2021 Deng, Nanshan
Short-Term Speed Forecasting of Large-Scale Urban Road Network Based on Transformer 2021 Zhang, Jiawei
Identification and Analysis of Urban Traffic Congestion Based on Multi-Source Data 2021 Chen, Yanyan
Alle Artikel auflisten