김의진 Eui-Jin Kim

이은학 Eun Hak Lee

신호석 Hosuk Shin

주양준 Yang-Jun Joo

문세동 Sedong Moon

정다운 Da-Woon Jeong

Seung Woo Ham

민진홍 Jin Hong Min

한상욱 Sang-Wook Han

박세현 Sehyun Park

김영서 Youngseo Kim

황현준 Hyunjun Hwang

이가령 Garyoung Lee

조정훈 Jung-Hoon Cho

신호철 Hocheol Shin

신용우 Yongwoo Shin

한희동 Hee-Dong Han

박성연 Sung Yeon Park

Yong geun Shin

신재식 Jay Shin

추범준 Bumjun Choo

The Transportation Research Laboratory is located within the Department of Civil & Environmental Engineering at Seoul National University. The laboratory's address is 35-424, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.

본 연구실은 서울대학교 건설환경공학부에 소속되어 있다. 위치는 서울특별시 관악구 관악로 1, 35동 424호이다.

Collaborative Generative Adversarial Networks for Fusing Household Travel Survey and Smart Card Data to Generate Heterogeneous Activity Schedules in Urban Digital Twins

Scalable Link Cost Learning for Real-Time Route Guidance Systems

Queue Length-Based Priority Strategy for Unsignalized Intersections in Mixed-Traffic Environments

A Large Language Model for Feasible and Diverse Population Synthesis

Party politics in transport policy with a large language model

Resilience-Based Approach to the Measurement of Headway Inconsistency

Real-Time Estimation of Origin-Destination Matrices Using a Deep Neural Network for Digital Twins

Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment

Generative Artificial Intelligence for Class Imbalance in Crash Severity Estimation with Mixed Data Types

Dynamic Origin-Destination Matrix Estimation Using Metamodel-based Model Predictive Control for Real-Time Application

Propagation of Positional Measurement Errors in Traffic Conflict Analysis

Harnessing Household Travel Survey with Smart Card Data to Generate Spatiotemporally-Diverse Activity Schedules for Transit Users

Navigating the Non-Compliance Effects on System Optimal Route Guidance Using Reinforcement Learning

Effects of Heterogeneity in Driving Manoeuvres on Calibrating Car-Following Models at a Roundabout

Multi-objective Optimization of Demand Responsive Transit Operations Based on Dynamic Passenger Requests Using Maximum Time Delay Rate

Multimodal Deep Learning for Estimating Lane-Level Urban Traffic by Fusing Closed-Circuit Television and Dedicated Short-Range Communication Data

Calibration and Validation of the Rule-based Human Driver Model for Car-following Behaviors at Roundabout Using Naturalistic Driving Data

A Generalized Driving Risk Assessment on High-Speed Highways Using Field Theory

Speed Harmonization for Partially Connected and Automated Traffic

Order Dispatching in Ride-Pooling with Walking Points Search

User Segmentation Based on Travel Regularity in E-Scooter Sharing Service

Data-Driven Approach for Measuring and Managing Physical Distancing in Subways During Pandemic Conditions

Imputing Qualitative Attributes for Trip Chains Extracted From Smart Card Data Using a Conditional Generative Adversarial Network

A Data-Driven Bayesian Network for Probabilistic Crash Risk Assessment of Individual Driver With Traffic Violation and Crash Records

Activity-Based TOD Typology for Seoul Transit Station Areas Using Smart-Card Data

Travel Pattern-Based Bus Trip Origin-Destination Estimation Using Smart Card Data

Multi-Scale Causality Analysis Between COVID-19 Cases and Mobility Level Using Ensemble Empirical Mode Decomposition and Causal Decomposition

Price Incentive Strategy for the E-Scooter Sharing Service Using Deep Reinforcement Learning

Exploring for Route Preferences of Subway Passengers Using Smart Card and Train Log Data

Rebalancing Docked Bicycle Sharing System with Approximate Dynamic Programming and Reinforcement Learning

Impact of Driver Behavior and Vehicle Type on Safety of Vehicle Platoon Under Lane Change Situation

Deep Multimodal Learning for Traffic Speed Estimation Combining Dedicated Short-Range Communication and Vehicle Detection System Data

Modeling Daily Sequential Trip-Based Mode Choice Behaviors in an Activity-Based Framework Considering Spatiotemporal Constraints

Reliability-based Assessment of Potential Risk for Lane Changing ManeuversReliability-based Assessment of Potential Risk for Lane Changing ManeuversTourists’ Preference on the Combination of Travel Modes Under Mobility-as-a-Service Environment

A Comparative Analysis of the Users of Private Cars and Public Transportation for Intermodal Options Under Mobility-as-a-Service in Seoul

Application of Naïve Bayesian Approach in Detecting Reproducible Fatal Collision Locations on Freeway

Estimating Express Train Preference of Urban Railway Passengers Based on Extreme Gradient Boosting (XGBoost) using Smart Card Data

Recurrent Neural Network for Estimating Speed Using Probe Vehicle Data in an Urban Area

Assessing and Predicting Mobility Improvement of Integrating Bike-Sharing into Multimodal Public Transport Systems

Designing Multiple Short-Turn Routes to Mitigate the Crowding on a Bus Network

Reliability-Based Assessment of Potential Risk for Lane Changing Maneuvers

Spatiotemporal Demand Prediction Model for E-Scooter Sharing Services with Latent Feature and Deep Learning

Design of Zonal Express Bus Services to Reduce User Travel Time and Transfers Considering Demand Diversion

Enhancing the Accuracy of Peak Hourly Demand in Bike-Sharing Systems using a Graph Convolutional Network with Public Transit Usage Data

Efficiency Comparison of Public Bike-Sharing Repositioning Strategies Based on Predicted Demand Patterns

Multi-Objective Optimization for Skip-Stop Strategy Based on Smartcard Data Considering Total Travel Time and Equity

Development of Estimating Methodology for Transit Accessibility Using Smart Card Data

Interpretable Machine-Learning Models for Estimating Trip Purpose in Smart Card Data

Travel Time Prediction Using Gated Recurrent Unit and Spatio-Temporal Algorithm

First-mile과 Last-mile을 고려한 자유 주차방식 (Free-floating) 개인형 이동장치 공유 서비스 권역 및 운영대수 결정

수요 응답형 교통 시스템의 승객 편의성 및 운영 효율성 제고를 위한 인센티브 전략 수립

COVID-19 발생 전 후 스마트카드 이용자의 통행패턴 및 통행목적 변화 분석

V2X 기반 교통 운영을 위한 미시적 시뮬레이션 기반 테스트 시나리오 설계

비용 민감 학습을 활용한 이륜차 사고 심각도 예측

도농복합지역 특성을 고려한 수요응답형 교통(DRT) 도입 전략 제안 연구

첨두 수요 응답형 대중교통 서비스의 효과평가 및 도입 기준 수립

Transportation Research Lab @SNU

교수님 소개

김동규

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Collaborative Generative Adversarial Networks for Fusing Household Travel Survey and Smart Card Data to Generate Heterogeneous Activity Schedules in Urban Digital Twins

Scalable Link Cost Learning for Real-Time Route Guidance Systems

Queue Length-Based Priority Strategy for Unsignalized Intersections in Mixed-Traffic Environments

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

김동규

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Collaborative Generative Adversarial Networks for Fusing Household Travel Survey and Smart Card Data to Generate Heterogeneous Activity Schedules in Urban Digital Twins

Scalable Link Cost Learning for Real-Time Route Guidance Systems

Queue Length-Based Priority Strategy for Unsignalized Intersections in Mixed-Traffic Environments

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집