Information
Edited & Published: Editorial Office of Journal of Dalian Jiaotong University
Publication Period: Bimonthly
Publisher: Dalian, Liaoning Province, China
Language: Chinese
Superintendent: Liaoning Provincial Department of Education
Sponsored by: Dalian Jiaotong University
Editor in Chief: Chen Bingzhi
Executive Editor in Chief: Guo Ruijun
China National unified serial number: CN 21-1550/U
International Standard Serial Number: ISSN 1673-9590
Periodical website: https://dltd.cbpt.cnki.net
Related Links
Page Views
A Review of Coordination Control Methods for Urban Arterial Road
GUO Ruijun;JIANG Kaining;Arterial coordination control can effectively alleviate urban traffic congestion and improve vehicle operation efficiency. Therefore, over the past 60 years since its proposal, many scholars have conducted in-depth research in this field. With the rapid development of information technology and the emergence of connected and autonomous vehicles, it has not only brought significant challenges to arterial coordination control but also opened up new research directions for its theoretical innovation. Firstly, by importing the relevant papers on arterial coordination control from 2009 to 2024 both at home and abroad through VOSviewer software, the recent research hotspots in this field were explored by means of the generated keyword co-occurrence network. At the same time, the research literature was systematically summarized from the characteristics of the optimization objectives, research objects, solution methods, and constraint conditions of the arterial coordination control models. The literature was classified into six categories based on the hot topics and the scope of application, and a development map of arterial coordination models was drawn, revealing the trend of arterial coordination control from independent research to gradual integration. Secondly, the difficult problems in the development process of each type of model were detailedly sorted out, and the connections and differences among various models that adopted approximate solution methods were discussed. It was found that although certain progress has been made in arterial coordination control research, the discreteness of arterial traffic flow, the randomness of manually driven vehicles, the robustness of signal control schemes, the dynamic interaction during lane changes and vehicle lane changes, and the complexity of mixed traffic flow modeling remain the research difficulties of arterial coordination control. Finally, the future research directions of arterial coordination were prospected from the aspects of incorporating actual road features into signal coordination control, joint control and early evacuation of key intersections, and the integration of "point, line, and surface" signal control.
Collaborative Scheduling of Loading and Unloading Equipment in Railway Container Terminals Considering Energy Consumptionunder Different Job Status
HE Shiwei;LIU Yifan;CHI Jushang;WU Yidi;ZHAO Rixin;GUO Xiaoxuan;To address the high-efficiency collaborative scheduling problem of loading and unloading equipment in railway container center stations, this paper first analyzes the equipment connection situation in the container loading and unloading operation process, defines the different operation states of loading and unloading equipment in container transportation tasks, and quantifies their energy consumption. Then, with the shortest completion time of loading and unloading operations and the lowest total energy consumption as the objectives, a scheduling optimization model that comprehensively considers the collaborative operation process of rail-mounted gantry cranes, container trucks, and reach stackers is constructed. To solve this model, a hybrid multi-objective optimization algorithm is designed based on the core idea of the fast non-dominated sorting genetic algorithm, combined with the advantages of the greedy variable neighborhood search mechanism based on regional centers and the gene preservation mechanism of the micro-evolution algorithm. The feasibility and effectiveness of the model and algorithm are verified through different-scale examples. The results show that, under a smaller task scale, compared with the traditional genetic algorithm and the fast non-dominated sorting genetic algorithm, the hybrid multi-objective optimization algorithm has the best solution quality, with a solution accuracy reaching 96% of the Gurobi solver and a solution time reduction of 92%. In large-scale examples, the introduction of the micro-evolution mechanism and the greedy variable neighborhood search mechanism effectively improves the optimization ability of the hybrid multi-objective optimization algorithm, accelerates the convergence efficiency, and makes its solution quality improve by about 20% under the premise of a solution speed similar to the fast non-dominated sorting genetic algorithm. Moreover, this advantage becomes more significant as the volume of container loading and unloading tasks increases.
Co-Optimization of Train Schedules and Rolling Stock Circulation in Urban Railways under Large and Small Traffic Patterns
LIU Di;CHEN Yuying;RONG Wenyu;WANG Yu;To address the issue of precise matching between passenger demand and capacity resources in urban rail transit, a collaborative optimization method for train schedules and rolling stock rotation under the large and small loop operation mode is proposed. This method takes bidirectional urban rail transit lines as the research object and, in view of the uneven spatio-temporal distribution of passenger flow, builds a nonlinear mixed-integer programming model with constraints on passenger demand, train operation, and rolling stock rotation. By determining the departure times of trains, rolling stock rotation plans, and the destinations of small loop train trips, a genetic algorithm is designed for solution, ultimately obtaining an optimized scheme with the minimum weighted sum of enterprise operation costs and passenger travel costs. The validity of the model and algorithm is verified based on the operational data of a certain city's metro Line 4. The research results show that compared with the existing actual transportation plan, the number of rolling stock units put into operation is reduced by 27.3%, the number of train trips is reduced by 30%, and the total cost is reduced by 17.6%. In practical applications, decision-makers can adjust the weight values to further balance the relative importance of enterprise operation costs and passenger travel costs. This research achievement realizes the precise matching of passenger demand and capacity resources, reducing enterprise operation costs while effectively enhancing the convenience of passenger travel.
Selection Method of Charging Station Location Based on Improved Reinforcement Learning
LI Yuanyuan;LYU Jixiang;To solve the problem that the current charging station location site selection algorithm has insufficient potential in tapping and utilizing training data and limiting the optimization effect, a charging station location site selection method based on improved reinforcement learning was proposed. First, a simulation environment was built by considering the factors such as the urban road network, the location distribution of current public charging stations and charging demand. Then, the interference impact of current charging stations was evaluated, and trip time, charging time and waiting time and benefits were taken as performance indicators to evaluate algorithm optimization. At last, the long-and-short-term memory network was used to fetch the time series features in the training data, which was to capture and analyze the dynamic patterns of charging station locations changing with time, upgrading the learning process. Tests were conducted on road networks in some Chinese cities, and the simulation results show that this method reduces waiting time by 8.57%, trip time by 11.38% and charging time by 6.17% on average, compared with current reinforcement learning site selection algorithms.
Random Vibration Load Spectrum of 400 km/h EMU Under-Vehicle Equipment and Accelerated Test Research
JIANG Chunlong;CHENG Yajun;ZHANG Hongwei;YU Chunyang;ZHANG Xiaosong;ZENG Yiming;The vibration characteristics of CR400BF equipment excitation under 400 km/h are obtained through line test. Considering the influence of installation forms, the statistical tolerance method, envelope method, fatigue damage spectrum and other methods are adopted to summarize the vibration spectrum of under-vehicle equipment in different directions, comparation with GB/T 21563 is conducted, and the applicability of the standard is analyzed. The results show that the vibration RMS of the elastic mounted equipment under 400 km/h is lower than the standard value, and the transverse RMS of the rigid mounted equipment is 0.391 9 m/s2, which is more than the standard value of 0.37 m/s2. All equipments have the excitation main frequency of 40-50 Hz caused by the P2 force, which is significantly different from the standard vibration main frequency of 5-20 Hz. The standard spectrum is relatively conservative as the load spectrum of the 400 km/h elastic mounting structure, which is less applicable to the 400 km/h rigid mounting equipment. Based on the Dirlik distribution model, a double logarithmic relationship between the excitation amplification and the fatigue life under the double-slope S-N curve is deduced. Taking the EMU sewage bins as an example, the relationship between the acceleration test time and acceleration ratio under different fatigue standards is obtained, which is a reference for the random vibration bench test.
WeChat official
