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Eco-Cities and Green Transport

Lu, Huapu

1, 2020

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Eco-City and Green Transport

Lu, Huapu

2020

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Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM‐GRA and CB‐SEM approach with trajectory data

IET intelligent transport systems, 2024-02, Vol.18 (2), p.230-243

2024

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A rough set-based measurement model study on high-speed railway safety operation

PloS one, 2018-06, Vol.13 (6), p.e0197918-e0197918

2018

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A Rescheduling Approach for Freight Railway considering Equity and Efficiency by an Integrated Genetic Algorithm

Journal of advanced transportation, 2023-05, Vol.2023, p.1-22

2023

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A two‐stage robust optimal traffic signal control with reversible lane for isolated intersections

IET intelligent transport systems, 2024-04, Vol.18 (4), p.723-742

2024

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Trip Generation Prediction Based on the Convolutional Neural Network-Multidimensional Long-Short Term Memory Neural Network Model at Grid Cell Scale

IEEE access, 2021, Vol.9, p.79051-79059

2021

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Proceedings of the Second International Conference on Intelligent Transportation

Lu, Huapu

2016

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Analyzing the Risk Factors of Traffic Accident Severity Using a Combination of Random Forest and Association Rules

Applied sciences, 2023-07, Vol.13 (14), p.8559

2023

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Proceedings of the Second International Conference on Intelligent Transportation

Lu, Huapu

1st ed. 2017 edition., 2016

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A Cellular Automata Model for Heterogeneous Traffic Flow Incorporating Micro Autonomous Vehicles

Journal of advanced transportation, 2022-01, Vol.2022, p.1-21

2022

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Signal Timing Optimization Model Based on Bus Priority

Information (Basel), 2020-06, Vol.11 (6), p.325

2020

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Optimization Model of Traffic Sensor Layout considering Traffic Big Data

Journal of advanced transportation, 2020-11, Vol.2020, p.1-11

2020

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Corrigendum to “Optimization Model of Traffic Sensor Layout considering Traffic Big Data”

Journal of advanced transportation, 2022-02, Vol.2022, p.1-2

2022

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Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses

Journal of advanced transportation, 2020-07, Vol.2020, p.1-17

2020

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Analysis and Prediction on Vehicle Ownership Based on an Improved Stochastic Gompertz Diffusion Process

Journal of advanced transportation, 2017-01, Vol.2017, p.1-8

2017

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Bus detection based on sparse representation for transit signal priority

Neurocomputing (Amsterdam), 2013-10, Vol.118, p.1-9

2013

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Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China

Sustainability, 2020-09, Vol.12 (18), p.7410

2020

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Parallel computing method of deep belief networks and its application to traffic flow prediction

Knowledge-based systems, 2019-01, Vol.163, p.972-987

2019

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Spark Cloud-Based Parallel Computing for Traffic Network Flow Predictive Control Using Non-Analytical Predictive Model

IEEE transactions on intelligent transportation systems, 2022-07, Vol.23 (7), p.7708-7720

2022

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IEEE_Xplore

Cooperative multi-agent actor–critic control of traffic network flow based on edge computing

Future generation computer systems, 2021-10, Vol.123, p.128-141

2021

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The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary

Transportation (Dordrecht), 2017-03, Vol.44 (2), p.311-324

2017

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Traffic Network Flow Prediction Using Parallel Training for Deep Convolutional Neural Networks on Spark Cloud

IEEE transactions on industrial informatics, 2020-12, Vol.16 (12), p.7369-7380

2020

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IEEE_Xplore

Towards higher efficiency and less consumption: Control Strategy and Simulation for CAV platooning

Physica A, 2023-03, Vol.613, p.128518, Article 128518

2023

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Research and Application of the Beijing Road Traffic Prediction System

Discrete Dynamics in Nature and Society, 2014-01, Vol.2014, p.1-8

2014

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Eco-Cities and Green Transport

Eco-City and Green Transport

Lane changing and keeping as mediating variables to investigate the impact of driving habits on efficiency: An EWM‐GRA and CB‐SEM approach with trajectory data

A rough set-based measurement model study on high-speed railway safety operation

A Rescheduling Approach for Freight Railway considering Equity and Efficiency by an Integrated Genetic Algorithm

A two‐stage robust optimal traffic signal control with reversible lane for isolated intersections

Trip Generation Prediction Based on the Convolutional Neural Network-Multidimensional Long-Short Term Memory Neural Network Model at Grid Cell Scale

Proceedings of the Second International Conference on Intelligent Transportation

Analyzing the Risk Factors of Traffic Accident Severity Using a Combination of Random Forest and Association Rules

Proceedings of the Second International Conference on Intelligent Transportation

A Cellular Automata Model for Heterogeneous Traffic Flow Incorporating Micro Autonomous Vehicles

Signal Timing Optimization Model Based on Bus Priority

Optimization Model of Traffic Sensor Layout considering Traffic Big Data

Corrigendum to “Optimization Model of Traffic Sensor Layout considering Traffic Big Data”

Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses

Analysis and Prediction on Vehicle Ownership Based on an Improved Stochastic Gompertz Diffusion Process

Bus detection based on sparse representation for transit signal priority

Analysis of Transportation Network Vulnerability and Resilience within an Urban Agglomeration: Case Study of the Greater Bay Area, China

Parallel computing method of deep belief networks and its application to traffic flow prediction

Spark Cloud-Based Parallel Computing for Traffic Network Flow Predictive Control Using Non-Analytical Predictive Model

Cooperative multi-agent actor–critic control of traffic network flow based on edge computing

The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary

Traffic Network Flow Prediction Using Parallel Training for Deep Convolutional Neural Networks on Spark Cloud

Towards higher efficiency and less consumption: Control Strategy and Simulation for CAV platooning

Research and Application of the Beijing Road Traffic Prediction System

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