Kun Gao

Forskarassistent vid Geologi och geoteknik

Kun Gao är forskarassistent i forskningsgruppen Urban Mobility Systems, avdelningen för geologi och geoteknik, institutionen för arkitektur och byggteknik. Hans forskning handlar om att främja hållbar rörlighet med fokus på elektrifiering, delad rörlighet och uppkopplad automation. Särskilt intresse finns för att skapa nya metoder och verktyg för systemplanering, optimering och utvärdering av nya transportsystem med hjälp av stora datamängder och maskininlärning. Det övergripande målet är att underlätta utvecklingen av ett säkrare, mer hållbart och rättvist transportsystem. Hans forskning inom ovanstående områden har fått stöd från Chalmers AoA Transport/Energy, Energimyndigheten, CHAIR och Innovationsmyndigheten Vinnova.

Källa: chalmers.se
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Visar 64 publikationer

2024

Environmental impacts of ridesplitting considering modal substitution and associations with built environment

Zhe Zhang, Kun Gao, Hong Di He et al
Transportation Research Part D: Transport and Environment. Vol. 130
Artikel i vetenskaplig tidskrift
2024

Data-driven rolling eco-speed optimization for autonomous vehicles

Ying Yang, Kun Gao, Shaohua Cui et al
Frontiers of Engineering Management. Vol. In Press
Artikel i vetenskaplig tidskrift
2024

An intelligent optimization method for the facility environment on rural roads

Weixi Ren, Bo Yu, Yuren Chen et al
Computer-Aided Civil and Infrastructure Engineering. Vol. 39 (17), p. 2559-2580
Artikel i vetenskaplig tidskrift
2024

Enhancing State Representation in Multi-Agent Reinforcement Learning for Platoon-Following Models

Hongyi Lin, Cheng Lyu, Yixu He et al
IEEE Transactions on Vehicular Technology. Vol. 73 (8), p. 12110-12114
Artikel i vetenskaplig tidskrift
2024

Enhancing choice-set generation and route choice modeling with data- and knowledge-driven approach

Dongjie Liu, Dawei Li, Kun Gao et al
Transportation Research, Part C: Emerging Technologies. Vol. 162
Artikel i vetenskaplig tidskrift
2024

A Human-Like Visual Perception System for Autonomous Vehicles Using a Neuron-Triggered Hybrid Unsupervised Deep Learning Method

Bo Yu, Kun Gao, Zeyang Cheng et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 25 (7), p. 8171-8180
Artikel i vetenskaplig tidskrift
2024

An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk

Jianqiang Gao, Bo Yu, Yuren Chen et al
Transportation Research, Part C: Emerging Technologies. Vol. 159
Artikel i vetenskaplig tidskrift
2024

Coordination of coupled electrified road systems and active power distribution networks with flexibility integration

Arsalan Najafi, Georgios Tsaousoglou, Kun Gao et al
Applied Energy. Vol. 369
Artikel i vetenskaplig tidskrift
2024

Differences in driver takeover performance and physiological responses in conditionally automated driving: Links to emotional instability

Jing Huang, Xiaofang Long, Chenggong Qi et al
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 105, p. 73-86
Artikel i vetenskaplig tidskrift
2024

Bi-level ramp merging coordination for dense mixed traffic conditions

Jie Zhu, Kun Gao, Hao Li et al
Fundamental Research. Vol. 4 (5), p. 992-1008
Artikel i vetenskaplig tidskrift
2024

Delay-throughput tradeoffs for signalized networks with finite queue capacity

Shaohua Cui, Yongjie Xue, Kun Gao et al
Transportation Research Part B: Methodological. Vol. 180
Artikel i vetenskaplig tidskrift
2024

Generative Edge Intelligence for IoT-Assisted Vehicle Accident Detection: Challenges and Prospects

Jiahui Liu, Yang Liu, Kun Gao et al
IEEE Internet of Things Magazine. Vol. 7 (3), p. 50-54
Artikel i vetenskaplig tidskrift
2024

Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity With Interpretability

Shuli Wang, Kun Gao, Lanfang Zhang et al
IEEE Intelligent Transportation Systems Magazine. Vol. In Press
Artikel i vetenskaplig tidskrift
2024

Self-explaining analysis of facility environments on 2-lane rural roads with an improved lightweight CNN considering drivers’ visual perception

Weixi Ren, Bo Yu, Yuren Chen et al
International Journal of Transportation Science and Technology. Vol. In Press
Artikel i vetenskaplig tidskrift
2024

The correlation between drivers’ road familiarity and glance behavior using real vehicle experimental data and mathematical models

Jing Huang, Yezi Hu, Lin Hu et al
Traffic Injury Prevention. Vol. 25 (5), p. 705-713
Artikel i vetenskaplig tidskrift
2024

Integrating shared e-scooters as the feeder to public transit: A comparative analysis of 124 European cities

Aoyong Li, Kun Gao, Pengxiang Zhao et al
Transportation Research, Part C: Emerging Technologies. Vol. 160
Artikel i vetenskaplig tidskrift
2024

Flexible Eco-cruising Strategy for Connected and Automated Vehicles with Efficient Driving Lane Planning and Speed Optimization

Haoxuan Dong, Qun Wang, Weichao Zhuang et al
IEEE Transactions on Transportation Electrification. Vol. 10 (1), p. 1530-1540
Artikel i vetenskaplig tidskrift
2024

Deciphering spatial heterogeneity of maritime accidents considering impact scale variations

Guorong Li, Kun Gao, Jinxian Weng et al
Maritime Policy and Management. Vol. In Press
Artikel i vetenskaplig tidskrift
2024

Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US

Shuli Wang, Kun Gao, Lanfang Zhang et al
Accident Analysis and Prevention. Vol. 199
Artikel i vetenskaplig tidskrift
2024

Temporal Finite-Time Adaptation in Controlling Quantized Nonlinear Systems Amidst Time-Varying Output Constraints

Shaohua Cui, Yongjie Xue, Maolong Lv et al
IEEE Transactions on Automation Science and Engineering. Vol. In Press
Artikel i vetenskaplig tidskrift
2024

Deep Demand Prediction: An Enhanced Conformer Model With Cold-Start Adaptation for Origin–Destination Ride-Hailing Demand Prediction

Hongyi Lin, Yixu He, Yang Liu et al
IEEE Intelligent Transportation Systems Magazine. Vol. 16 (3), p. 111-124
Artikel i vetenskaplig tidskrift
2024

Integration of UAVs with public transit for delivery: Quantifying system benefits and policy implications

Shaohua Cui, Ying Yang, Kun Gao et al
Transportation Research Part A: General. Vol. 183
Artikel i vetenskaplig tidskrift
2023

How do travel characteristics of ridesplitting affect its benefits in emission reduction? evidence from Chengdu

Zhe Zhang, Kun Gao, Hong Di He et al
Transportation Research Part D: Transport and Environment. Vol. 123
Artikel i vetenskaplig tidskrift
2023

A spatio-temporal deep learning model for short-term bike-sharing demand prediction

Ruo Jia, Richard Chamoun, Alexander Wallenbring et al
Electronic Research Archive. Vol. 31 (2), p. 1031-1047
Artikel i vetenskaplig tidskrift
2023

LSTM-Based Vehicle Trajectory Prediction Using UAV Aerial Data

Baozhen Yao, Qian Zhong, Heqi Cui et al
Smart Innovation, Systems and Technologies. Vol. 356, p. 13-21
Paper i proceeding
2023

Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation

Kun Gao, Aoyong Li, Yang Liu et al
Sustainable Cities and Society. Vol. 98
Artikel i vetenskaplig tidskrift
2023

An interpretable prediction model of illegal running into the opposite lane on curve sections of two-lane rural roads from drivers’ visual perceptions

Li He, Bo Yu, Yuren Chen et al
Accident Analysis and Prevention. Vol. 186
Artikel i vetenskaplig tidskrift
2023

Truck platooning reshapes greenhouse gas emissions of the integrated vehicle-road infrastructure system

Huailei Cheng, Yuhong Wang, Dan Chong et al
Nature Communications. Vol. 14 (1)
Artikel i vetenskaplig tidskrift
2023

A Context-Aware Framework for Risky Driving Behavior Evaluation Based on Trajectory Data

Qingwen Xue, Kun Gao, Ying Ying Xing et al
IEEE Intelligent Transportation Systems Magazine. Vol. 15 (1), p. 70-83
Artikel i vetenskaplig tidskrift
2023

Investigating machine learning for simulating urban transport patterns: A comparison with traditional macro-models

Omkar Parishwad, Sida Jiang, Kun Gao
Multimodal Transportation. Vol. 2 (3)
Artikel i vetenskaplig tidskrift
2023

Optimizing the Deployment of Automated Speed Camera at the Intersections Using GPS Trajectories

Hua Liu, Chuanyun Fu, Kun Gao
Smart Innovation, Systems and Technologies. Vol. 356, p. 55-65
Paper i proceeding
2023

Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers

Shaohua Cui, Kun Gao, Bin Yu et al
Transportation Research Part E: Logistics and Transportation Review. Vol. 180
Artikel i vetenskaplig tidskrift
2023

Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility

Kun Gao, Ying Yang, Jorge Gil et al
Journal of Transport Geography. Vol. 110
Artikel i vetenskaplig tidskrift
2023

Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis

Jieyu Fan, Aoyong Li, Anugrah Ilahi et al
Heliyon. Vol. 9 (5)
Artikel i vetenskaplig tidskrift
2023

A platoon-based cooperative optimal control for connected autonomous vehicles at highway on-ramps under heavy traffic

Yongjie Xue, Xiaokai Zhang, Zhiyong Cui et al
Transportation Research, Part C: Emerging Technologies. Vol. 150
Artikel i vetenskaplig tidskrift
2023

Adaptive Collision-Free Trajectory Tracking Control for String Stable Bidirectional Platoons

Shaohua Cui, Yongjie Xue, Kun Gao et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 24 (11), p. 12141-12153
Artikel i vetenskaplig tidskrift
2023

On the Fundamental Diagram for Freeway Traffic: Exploring the Lower Bound of the Fitting Error and Correcting the Generalized Linear Regression Models

Yidan Shangguan, Xuecheng Tian, Sheng Jin et al
MATHEMATICS. Vol. 11 (16)
Artikel i vetenskaplig tidskrift
2022

A bi-level optimization framework for charging station design problem considering heterogeneous charging modes

Le Zhang, Ziling Zeng, Kun Gao
Journal of Intelligent and Connected Vehicles. Vol. 5 (1), p. 8-16
Artikel i vetenskaplig tidskrift
2022

Autonomous vehicle fleets for public transport: scenarios and comparisons

François Poinsignon, Lei Chen, Sida Jiang et al
Green Energy and Intelligent Transportation. Vol. 1 (3)
Artikel i vetenskaplig tidskrift
2022

Revealing the determinants of the intermodal transfer ratio between metro and bus systems considering spatial variations

Pan Wu, Lunhui Xu, Lingshu Zhong et al
Journal of Transport Geography. Vol. 104
Artikel i vetenskaplig tidskrift
2022

Merging control strategies of connected and autonomous vehicles at freeway on-ramps: a comprehensive review

Jie Zhu, Said Easa, Kun Gao
Journal of Intelligent and Connected Vehicles. Vol. 5 (2), p. 99-111
Reviewartikel
2022

Contagion spread modeling in transport networks and transport operation optimizations for containing epidemics

Xiaobo Qu, Kun Gao, Xiaopeng Li
Transportation Amid Pandemics: Lessons Learned from COVID-19, p. 349-357
Kapitel i bok
2022

Inertia effects of past behavior in commuting modal shift behavior: interactions, variations and implications for demand estimation

Kun Gao, Minhua Shao, Kay W. Axhausen et al
Transportation. Vol. 49 (4), p. 1063 -1097
Artikel i vetenskaplig tidskrift
2022

Data and Code Disclosure and Sharing Policy of communications in transportation research

Kun Gao, Hua Wang, Shuaian Wang et al
Communications in Transportation Research. Vol. 2
Övrig text i vetenskaplig tidskrift
2022

Revealing driver psychophysiological response to emergency braking in distracted driving based on field experiments

Ying Li, Li Zhao, Kun Gao et al
Journal of Intelligent and Connected Vehicles. Vol. 5 (3), p. 270-282
Artikel i vetenskaplig tidskrift
2022

Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach

Weixi Ren, Bo Yu, Yuren Chen et al
International Journal of Environmental Research and Public Health. Vol. 19 (18)
Artikel i vetenskaplig tidskrift
2021

Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai

Kun Gao, Ying Yang, Aoyong Li et al
Transportation Research Part D: Transport and Environment. Vol. 94
Artikel i vetenskaplig tidskrift
2021

Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory

Kun Gao, Ying Yang, Tianshu Zhang et al
Knowledge-Based Systems. Vol. 218
Artikel i vetenskaplig tidskrift
2021

Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction

Kun Gao, Ying Yang, Xiaobo Qu
Transportation Research Part D: Transport and Environment. Vol. 97
Artikel i vetenskaplig tidskrift
2021

Optimal Design of Mixed Charging Station for Electric Transit with Joint Consideration of Normal Charging and Fast Charging

Le Zhang, Ziling Zeng, Kun Gao
Smart Innovation, Systems and Technologies. Vol. 231, p. 85-94
Paper i proceeding
2021

Quantifying economic benefits from free-floating bike-sharing systems: A trip-level inference approach and city-scale analysis

Kun Gao, Ying Yang, Aoyong Li et al
Transportation Research Part A: Policy and Practice. Vol. 144, p. 89-103
Artikel i vetenskaplig tidskrift
2021

Driving Style Recognition Incorporating Risk Surrogate by Support Vector Machine

Qingwen Xue, Jianjohn Lu, Kun Gao
Smart Innovation, Systems and Technologies. Vol. 231, p. 123-131
Paper i proceeding
2021

Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior

Kun Gao, Lijun Sun, Ying Yang et al
Transportation Research Part A: Policy and Practice. Vol. 148, p. 1-21
Artikel i vetenskaplig tidskrift
2021

Diverging effects of subjective prospect values of uncertain time and money

Kun Gao, Ying Yang, Xiaobo Qu
Communications in Transportation Research. Vol. 1
Artikel i vetenskaplig tidskrift
2021

High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data

Aoyong Li, Kun Gao, Pengxiang Zhao et al
Journal of Cleaner Production. Vol. 296
Artikel i vetenskaplig tidskrift
2021

Modeling Commercial Vehicle Drivers’ Acceptance of Forward Collision Warning System

Yueru Xu, Zhirui Ye, Chao Wang et al
Smart Innovation, Systems and Technologies. Vol. 231, p. 167-180
Paper i proceeding
2021

Modeling Measurements Towards Effect of Past Behavior on Travel Behavior

Kun Gao, Tianshu Zhang, Zhihan Li
Smart Innovation, Systems and Technologies. Vol. 231, p. 141-157
Paper i proceeding
2020

Spatio-Temporal Usage Patterns of Dockless Bike-Sharing Service Linking to a Metro Station: A Case Study in Shanghai, China

Qiang Yan, Kun Gao, Lijun Sun et al
Sustainability. Vol. 12 (3)
Artikel i vetenskaplig tidskrift
2020

Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips

Kun Gao, Ying Yang, Lijun Sun et al
Transportation Research Part F: Traffic Psychology and Behaviour. Vol. 71, p. 272-287
Artikel i vetenskaplig tidskrift
2020

Influential factors associated with consecutive crash severity: A two-level logistic modeling approach

Fanyu Meng, Pengpeng Xu, Cancan Song et al
International Journal of Environmental Research and Public Health. Vol. 17 (15), p. 1-16
Artikel i vetenskaplig tidskrift
2020

Modelling the Relationships Between Headway and Speed in Saturation Flow of Signalised Intersections

Yang Teng, Jin Xu, Kun Gao et al
Smart Innovation, Systems and Technologies. Vol. 185, p. 179-188
Paper i proceeding
2020

Will Autonomous Vehicles Improve Traffic Efficiency and Safety in Urban Road Bottlenecks? The Penetration Rate Matters

Tianshu Zhang, Kun Gao
2020 IEEE 5th International Conference on Intelligent Transportation Engineering, ICITE 2020, p. 366-370
Paper i proceeding
2020

An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai, China

Aoyong Li, Pengxiang Zhao, Yizhe Huang et al
Journal of Transport Geography. Vol. 88
Artikel i vetenskaplig tidskrift
2020

How to Model the Influence of In-vehicle Crowding on Travel Behavior: A Comparison Among Moderation, Independent Variable and Interaction

Kun Gao, Jieyu Fan, Ziling Zeng
Smart Innovation, Systems and Technologies. Vol. 185, p. 41-52
Paper i proceeding

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Visar 13 forskningsprojekt

2024–2025

Adaptiv och nätverksnivå trafiksignalkontroll för hållbar trafikledning (ANTSC)

Shaohua Cui Geologi och geoteknik 2
Kun Gao Geologi och geoteknik
Musa Furkan Keskin Kommunikationssystem
Chalmers Styrkeområde Transport

2024–2025

Osäkerhetsmedveten och säkerhetsförbättrad hantering av CAV för säkrare blandad trafik

Kun Gao Geologi och geoteknik
Shaohua Cui Geologi och geoteknik 2
VINNOVA

2024–2025

Electrifying multimodal public transport with distributed renewable energy (e-REMPT)

Kun Gao Transportgruppen
Maria Taljegård Energiteknik
Xiaohan Liu Geologi och geoteknik 2
Arsalan Najafi Geologi och geoteknik 2
Chalmers

2023–2025

Digitala verktyg för hållbar planering och hantering av delad mikromobilitet med hjälp av Big Data

Kun Gao Transportgruppen
Marina Wiemers Geologi och geoteknik 2
Yang Liu Geologi och geoteknik
VINNOVA

2023–2026

Eldrivna multimodala transportsystem för att stärka urban tillgänglighet och konnektivitet (eMATS)

Kun Gao Transportgruppen
Arsalan Najafi Geologi och geoteknik 2
Yang Liu Transportgruppen
Yuan Liao Fysisk resursteori 2
Omkar Parishwad Transportgruppen
Energimyndigheten
Europeiska kommissionen (EU)

2 publikationer finns
2022–2024

Facilitating sustainable development of sharing micro-mobility and transit multi-modal transport systems (eFAST)

Kun Gao Transportgruppen
Yang Liu Transportgruppen
Marina Wiemers Geologi och geoteknik 2
Ruo Jia Transportgruppen
Transport
Energimyndigheten

4 publikationer finns
2022–2023

Analyzing and promoting micro-shared mobility system leveraging big data

Kun Gao Geologi och geoteknik
Xiaobo Qu Geologi och geoteknik
Majid Astaneh Strömningslära
Ruo Jia Transportgruppen
Yang Liu Geologi och geoteknik
AoA Transport Funds

2021–2023

Simuleringsbaserade och fälttest för utvärdering av flerdimensionella prestanda hos intelligenta anslutna fordon

Yang Liu Geologi och geoteknik
Kun Gao Geologi och geoteknik
Jelena Andric Fordonsteknik och autonoma system
Jiaming Wu Reglerteknik
Xiaobo Qu Geologi och geoteknik
Ziling Zeng Geologi och geoteknik
VINNOVA

2 publikationer finns
2021–2023

Battery Ageing Prediction and Optimization in a Fleet of Electric Autonomous Vehicles

Kun Gao Transportgruppen
Xiaobo Qu Transportgruppen
Yang Liu Transportgruppen
Chalmers

2021–2023

AI-cloud-based Vehicle Management Strategies for Electrified Vehicles

Kun Gao Transportgruppen
Jiaming Wu Geologi och geoteknik
Xiaobo Qu Transportgruppen
Changfu Zou Reglerteknik
Jelena Andric Fordonsteknik och autonoma system
Chalmers AI-forskningscentrum (CHAIR)

2020–2023

Hastighetsreglering av intelligenta anslutna fordon i öppen och blandad vägmiljö för säkrare trafikdrift

Jiaming Wu Reglerteknik
Xiaobo Qu Geologi och geoteknik
Kun Gao Geologi och geoteknik
Jie Zhu Geologi och geoteknik
Ziling Zeng Geologi och geoteknik
VINNOVA

2020–2021

Uppkopplad litiumjonbatteri hälsotillstånd prognostik

Kun Gao Geologi och geoteknik
Le Zhang Geologi och geoteknik
Xiaobo Qu Geologi och geoteknik
Yongzhi Zhang Geologi och geoteknik
Chalmers AI-forskningscentrum (CHAIR)

2020–2023

Säkerhetstestning av intelligenta uppkopplade fordon i mixade trafikmiljöer

Xiaobo Qu Geologi och geoteknik
Jiaming Wu Geologi och geoteknik
Kun Gao Geologi och geoteknik
Yang Liu Geologi och geoteknik
VINNOVA

2 publikationer finns
Det kan finnas fler projekt där Kun Gao medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.