Changxi Ma
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View article: A Review of Research on Coordinated Control of Traffic Signals at Urban Road Intersection Groups
A Review of Research on Coordinated Control of Traffic Signals at Urban Road Intersection Groups Open
Effective traffic signal coordination is essential for urban intersection groups, helping reduce delays and improve throughput efficiency. This paper systematically reviews the progress in intersection group signal coordination control, fo…
Pricing Decision and Research of Dual-Channel Cargo Transportation Service System Based on Queuing Theory Open
Against the backdrop of China’s “public-to-railway” freight policy that has led to railway yard congestion and imbalanced modal capacity utilization, this study develops a Dual-Channel Cargo-Transportation Service (DCTS) system model using…
A VNS-NPGA approach to multi-objective optimization of hub-and-spoke logistics network Open
To realize low-cost freight transport in the logistics network and improve the network operation efficiency, a multi-objective optimization model and the corresponding algorithm for a hub-and-spoke logistics network are proposed based on t…
GRU-LSTM Model Based on the SSA for Short-Term Traffic Flow Prediction Open
The transportation department relies on accurate traffic forecasting for effective decision-making. However, determining relevant parameters for existing traffic flow prediction models poses challenges. To address this issue, this study pr…
Biform Game Approach to Strategy Optimization of Autonomous Vehicle Lane Changes on Highway Ramps Open
The traditional non-cooperative and cooperative game methods have limitations in solving the traffic problems of autonomous or assisted driving vehicles using vehicle-to-everything communication. In this paper, the biform game method is in…
Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network Open
The traffic congestion caused by the mismatch between the demand of car owners and the supply of parking spaces has become one of the severe traffic problems in various places. It is important to predict the remaining parking space which c…
Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps Open
Constructing atomic models from cryo-electron microscopy (cryo-EM) maps is a crucial yet intricate task in structural biology. While advancements in deep learning, such as convolutional neural networks (CNNs) and graph neural networks (GNN…
Cooperative control of mixed vehicle platoon based on pinning consensus of heterogeneous multi‐agent system Open
This paper proposes a longitudinal controller for the mixed vehicle platoon in the presence of driver response time‐delay and communication time‐delay based on the pinning consensus of heterogeneous multi‐agent system. Firstly, an adaptive…
Symmetry-Based Urban Rail Transit Network Planning Using Two-Stage Robust Optimization Open
To address the symmetry-related resilience issues of stations and lines in urban rail transit networks, we propose a two-stage robust optimization-based approach for urban rail transit network planning. In this context, resilience is conce…
Optimised LSTM Neural Network for Traffic Speed Prediction with Multi-Source Data Fusion Open
Predicting traffic speed accurately and in real-time is crucial for the development of smart transportation systems. Given the nonlinear and stochastic nature of vehicle data, integrating diverse spatio-temporal data sources with the Impro…
A review of research on urban parking prediction Open
The rapid growth of urban traffic has intensified daily congestion, affecting both traffic flow and parking. Accurate parking prediction plays a vital role in effectively managing limited parking resources and is essential for the successf…
Game Analysis of Different Transportation Modes in a Corridor Considering Carbon Emission Costs Open
This study aims to elucidate the implications of carbon peak and carbon neutrality targets on corridor logistics, with a focus on the burgeoning high-speed rail express sector. Acknowledging carbon emissions taxation as an integral compone…
Cumulative effect of driver’s historical violations on traffic accidents: New evidences from China Open
This study explores the impact of long-term traffic violations on accident risk, a frequently overlooked aspect in existing research. Analyzing violation data from Guilin, China, over a decade (2010-2020), including accident records from 2…
View article: Effects of the built environment on travel distance in bus-oriented, medium-sized cities in China
Effects of the built environment on travel distance in bus-oriented, medium-sized cities in China Open
The impact of the built environment and weather conditions on travel behavior has been widely studied. However, limited studies have focused on better understanding such effects in medium-sized cities with bus-oriented transit systems, par…
Predicting travel mode choice with a robust neural network and Shapley additive explanations analysis Open
Predicting and understanding travellers’ mode choices is crucial to developing urban transportation systems and formulating traffic demand management strategies. Machine learning (ML) methods have been widely used as promising alternatives…
A Review of Vehicle Detection Methods Based on Computer Vision Open
With the increasing number of vehicles, there has been an unprecedented pressure on the operation and maintenance of intelligent transportation systems and transportation infrastructure. In order to achieve faster and more accurate identif…
Exploring the Spatiotemporal Characteristics of Freight Transportation Using Truck GPS Data: A Case Study of Lianyungang City Open
Freight transportation plays a critical role in national economic development. However, there remains a gap in understanding its spatiotemporal characteristics and their impact on efficiency and sustainability. Therefore, exploring the tra…
Research on the Adjustment and Optimization of Train Working Diagrams Including Tourist-Dedicated Trains Open
Because China’s high-speed railway diverts many passengers from the existing railway, the existing railway network capacity has greatly increased, which provides convenient conditions to begin tourist-dedicated train projects. Due to the l…
Research on Parking Space Detection and Prediction Model Based on CNN-LSTM Open
With the continuous acceleration of urbanization, the parking problem is becoming increasingly serious. How to better manage parking resources has become an urgent problem to be solved in urban development. In this context, according to th…
Multi-Object Tracking Algorithm for Unmanned Vehicle Autonomous Driving Scene Based on Online Spatiotemporal Feature Correlation Open
Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned vehicle autonomous driving, a multi-object tracking algorit…
A Review of Vehicle Speed Control Strategies Open
Currently, traffic problems in urban road traffic environments remain severe, traffic pollution and congestion have not been effectively improved, and traffic accidents are still frequent. Traditional traffic signal control methods have li…
Parking Generating Rate Prediction Method Based on Grey Correlation Analysis and SSA-GRNN Open
The parking generating rate model is commonly used in parking demand forecasting. However, the key indicators of the parking generating rate are generally difficult to determine, especially its future annual value. The parking generating r…
Design of a High-Speed Railway Passenger Train Operation Scheme considering Survivability of the Network Open
As an important part of modern comprehensive transportation system, high-speed railway (HSR), whether it is a transregional trunk line or an intercity line, always shapes the industrial layout and changes the living environment at differen…
Optimization Method of Transfer Streamlines in Integrated Passenger Hubs Based on 3D Spatial Perspective Open
To optimize the functional space layout of various transportation modes of the integrated passenger transport hub, and improve the transfer efficiency and service quality of the hub, a quantitative analysis of the transfer flow lines of th…
Collaborative Determination Method of Metro Train Plan Adjustment and Passenger Flow Control under the Impact of COVID-19 Open
Aiming at the problem of metro operation and passenger transport organization under the impact of the novel coronavirus (COVID-19), a collaborative determination method of train planning and passenger flow control is proposed to reduce the…