论坛日程/Program
综合交通系统分析与优化论坛（二）
时间（Time）：2024-06-27 10:30 - 12:20
地点（Room）：墙报互动区25（Poster 25）
方向：运输规划
主持人（Moderator）：顾子渊 东南大学 副教授（Gu Ziyuan, Associate Professor, Southeast University）
日程安排/Program
考虑出发旅客到达规律的高铁站短时进站客流预测方法研究
Short-Term Inbound Passenger Flow Prediction at High-speed Railway Stations Considering the Departure Passenger Arrival Pattern
06-27 10:30
报告人
 
牛一帆
NIU Yifan
电动汽车能耗分析：统计、预测和因果视角
Energy Consumption Analysis of Electric Vehicle: Statistical, Predictive and Causal Perspectives
06-27 10:40
报告人
 
黄海超
HUANG Haichao
A Q-Learning approach for two-level emergency logistics management problem with masking-based policy
A Q-Learning approach for two-level emergency logistics management problem with masking-based policy
06-27 10:50
报告人
 
彭鑫轶
PENG Xinyi
A Parallel Microscopic Traffic Simulation Method Considering Congestion Backpropagation
A Parallel Microscopic Traffic Simulation Method Considering Congestion Backpropagation
06-27 11:00
报告人
 
周鼎昊
ZHOU Dinghao
Carbon emission analysis of mixed traffic flow
Carbon emission analysis of mixed traffic flow
06-27 11:10
报告人
 
周鹏
ZHOU Peng
A Data-driven Optimization-based Approach for Freeway Traffic State Estimation based on Heterogeneous Sensor Data Fusion
A Data-driven Optimization-based Approach for Freeway Traffic State Estimation based on Heterogeneous Sensor Data Fusion
06-27 11:20
报告人
 
张晋瑜
ZHANG Jinyu
A Novel Ranking Method Based on Semi-SPO for Battery Swapping Allocation Optimization in a Hybrid Electric Transit System
A Novel Ranking Method Based on Semi-SPO for Battery Swapping Allocation Optimization in a Hybrid Electric Transit System
06-27 11:30
报告人
 
何逸柳
HE Yiliu
Consensus on Anomalies and Generalize It: Spatiotemporal Anomaly Detection Based on Unsupervised-Semi-Supervised Stacking Framework
Consensus on Anomalies and Generalize It: Spatiotemporal Anomaly Detection Based on Unsupervised-Semi-Supervised Stacking Framework
06-27 11:40
报告人
 
周臻
ZHOU Zhen
Evaluating Effectiveness and Identifying Appropriate Methods for Anomaly Detection in Intelligent Transportation Systems
Evaluating Effectiveness and Identifying Appropriate Methods for Anomaly Detection in Intelligent Transportation Systems
06-27 11:50
报告人
 
洪坤明
HONG Kunming
基于大数据背景下对智能交通管理系统的优化
Optimization of Intelligent Traffic Management System based on Big Data Background.
06-27 12:00
报告人
 
丁世纪
DING Shiji
Pattern-Adaptive Generative Adversarial Network with Sparse Data for Traffic State Estimation
Pattern-Adaptive Generative Adversarial Network with Sparse Data for Traffic State Estimation
06-27 12:10
报告人
 
田婧
TIAN Jing