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Table of Content

    30 June 2020, Volume 26 Issue 3

    Vol.25  No.3 , 2020  Electronic Journal

    2020, 26(3):  311-490. 
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    Transportation Science and Computation
    A review of operations and management of shared mobility
    GE Yingen, CHEN Zhijian, ZHANG Peng
    2020, 26(3):  311-327.  doi:10.12066/j.issn.1007-2861.2214
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    Shared mobility has shown an ever-increasing trend in the context of shared economy in the past decade and has become a new way out to such urban transport problems as congestion, pollution, last- and first-mile issue, etc. This paper offers a state of the art of this topic, beginning with a discussion on the definition and scope of shared mobility. It is then shown that shared mobility has received a great deal of attention from various sectors in the transportation research community as well as from varied levels of the government and practitioners. On the basis of these, the special issues are reviewed on this topic in international scholarly journals and those papers that review the literature on this topic are discussed. This paper also shares a set of suggestions on further development of shared mobility.

    Travel demand forecast methods for Internet private hire vehicles
    XI Yinfei, LIU Zhongkai, YANG Peiyun, YU Ye, ZHANG Qi, LIU Zhiyuan
    2020, 26(3):  328-341.  doi:10.12066/j.issn.1007-2861.2211
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    With the development of Internet travel mode, the contradiction between the demand of taxi service and the supply of vehicle resources is increasingly prominent. In view of the basic theoretical research on travel demand forecast for Internet private hire vehicles (IPHVs), a large number of domestic and foreign research literature are summarized and analyzed. Firstly, this paper analyzes the travel behavior characteristics of IPHV users, and then summarizes the contents, methods and key technologies of IPHV demand forecast from time dimension and event dimension. Finally, main problems in the study of IPHV demand forecast are discussed, and potential research topics in the future are suggested.

    Pricing of a private-public hybrid road network based on game theory
    JIANG Nan, ZHENG Yu, ZHANG Xiaoning
    2020, 26(3):  342-352.  doi:10.12066/j.issn.1007-2861.2213
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    In this paper, a game analysis of “private-public” mixed road network charges was performed. A model was established to theoretically deduce and prove the existence and nature of an equilibrium solution of game analysis of the charges of private-public enterprises for a parallel road network controlled by them. Additionally, the influence of different game models on social welfare, charge, traffic, etc. was compared. In the oligarch game, the highest fee will be charged for each road section, resulting in the lowest total travel flow and social welfare; in the social optimal welfare game, the lowest fee will be charged for each road section, but the total travel flow and social welfare will be the highest; in the mixed game, the fee, total travel flow and social welfare will lie between those of the other two games. Finally, the efficiency of different game models was discussed when all the road sections in a parallel network are symmetrical.

    Dynamic path planning method considering traffic environment and battery capacity of pure electric vehicles
    SHI Yunyang, MIAO Yang, XI Yinfei, ZHANG Qi, LIU Zhiyuan
    2020, 26(3):  353-366.  doi:10.12066/j.issn.1007-2861.2215
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    As an ideal alternative to traditional fuel vehicles, pure electric vehicles have been widely concerned by the domestic and foreign governments with the advantages of energy conservation and environmental protection. However, due to the risk of electricity depletion in pure electric vehicles, users' worry about electricity shortage has become an important factor restricting the development of electric vehicles. On the other hand, the reasonable path planning for pure electric vehicles is not only conducive to improving the utilization rate of road resources, easing traffic congestion, but also of great significance to the energy utilization rate of vehicles and reducing emissions. The vehicle path planning problem is only based on the traffic status when the user is making a planning request, and giving several optional paths. However, the traffic environment is a dynamic constraint condition. Generally, users need to change the driving path in real time after driving for a certain period. Simultaneously, owing to the corresponding changes in the driving path, the remaining battery power of the vehicle also changes. Therefore, considering the real-time changes of traffic environment and the factors of vehicle energy consumption, it is of great significance to study the dynamic path planning of pure electric vehicles. According to many researches on route planning at home and abroad, this paper summarizes traffic congestion prediction, vehicle route planning and energy consumption estimation of pure electric vehicles, analyzes and summarizes the technical difficulties and research deficiencies in various fields. At the same time, the future research direction is also proposed.

    Predicted effect of average flux difference in a lattice hydrodynamic model with gradients
    WEI Qi, CHANG Yinyin, GE Hongxia, CHENG Rongjun
    2020, 26(3):  367-381.  doi:10.12066/j.issn.1007-2861.2209
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    By studying the predicted effect of average flux difference, a new lattice hydrodynamic model was proposed for a gradient highway. The control theory was employed using linear analysis, and the stability condition for this new model was analyzed. To depict the evolution of traffic density waves in the traffic system, the mKdV equation near the critical point was derived by nonlinear analysis. Additionally, numerical simulation was performed to directly describe the evolution of traffic, which verified the results of the theoretical analysis. The results revealed that the predicted effect of average flux difference can stabilize the traffic flow.

    Self-organization phenomena of bidirectional pedestrian flows in a channel with obstacles
    WU Cheng, LAN Dongkai, DONG Liyun
    2020, 26(3):  382-392.  doi:10.12066/j.issn.1007-2861.2054
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    In this paper, an extended social force model is used to investigate self-organization phenomena of bidirectional pedestrian flows in a channel with obstacles. In the model, both the static floor field and the view field have been taken into account. Then each pedestrian can determine his/her desired walking direction according to both global and local information. Case studies have been performed on different arrangements of cylinders or fences under periodic or open conditions. More self-organization flow patterns of pedestrians have been observed due to the existence of obstacles. It is found that obstacles usually trigger congestion and reduce the average velocity under periodic boundary condition. Under open boundary condition, it is found that short vertical fences mounted on the walls may reduce the travel time. Furthermore, such a setting of two fences leads to a smaller probability of the occurrence of congestion.

    Research Articles
    Synchronization of frequency-weighted coupled complex systems driven by leader
    JIN Yanliang, ZHU Huaiqing, QI Qi, ZHOU Runzi
    2020, 26(3):  393-400.  doi:10.12066/j.issn.1007-2861.2047
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    The complex systems which consist of a large number of coupled oscillators are widely present in the real world. Complex systems not only form spontaneous synchronization through coupling, but also often suffer from external influences and exhibit complex dynamic behavior. This paper studies the important collective dynamic behavior known as systems synchronization when the oscillators are driven by an external leader node. It lays out the conditions under which the frequency-weighted coupled system consisting of Kuramoto oscillators becomes synchronized when the system is driven by an external leader. The number and the frequency-weight of the driven oscillators affect the ease of the system transitions to driven synchronization. The simulation result shows that the results obtained are correct.

    A hardware accelerator for adaptive histogram equalization
    LU Shenyang, RAN Feng, GUO Aiying, SHEN Huaming
    2020, 26(3):  401-412.  doi:10.12066/j.issn.1007-2861.2044
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    In order to solve the problem that the dynamic histogram equalization (DHE) algorithm does not work well and that the algorithm cannot be applied flexibly, a field programmable gate array (FPGA)-based hardware accelerator design method for improved adaptive histogram equalization algorithm is proposed. The hardware accelerator improves the histogram equalization algorithm and adaptively limits the contrast stretch. It is designed in modularity after taking full advantage of the parallel architecture and abundant block storage resources that FPGA has. Experiment results show that the improved algorithm does not result in excessive enhancement, noise amplification and loss of image detail. The proposed hardware accelerator not only performs well in saving hardware resources but is effective as well in practical application. In real-time image processing, it takes only about 0.1 milliseconds for the processing of a frame image, thus making the image enhancement algorithm in real-time image processing more easily accessible.

    A square root UKF with variable-parameter model for Li-ion batteries SOC estimation method
    GAO Wenkai, YAN Limin, SUN Die
    2020, 26(3):  413-424.  doi:10.12066/j.issn.1007-2861.2048
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    The state of charge (SOC) estimation is an important aspect of modern battery management system. Methods based on Thevenin Equivalent model for Lithium Battery such as extended Kalman filter (EKF) have been widely used in SOC estimation. However, there are some limitations in the derivation of Jacobian matrix and linearization. In this paper, a square root unscented Kalman filter (SRUKF) based on variable-parameter model is proposed to estimate SOC, which does not need to linearize the nonlinear model. At the same time, the square root property improves the numerical properties of the state covariance. The variable-parameter model is based on the second order Thevenin model, which makes the parameters of the lithium battery change with the quantity of electricity and reduces the error caused by the fixed parameter model that cannot reflect the change of parameters under different electric quantity. The experiment results show that the proposed method is effective. Compared with the existing SOC estimation method, the EKF, UKF and the estimation results from the fixed-parameter model, the error of this method is obviously smaller than that of the other three methods.

    Preparation and photocatalytic properties of ZnO/graphene composite
    LI Qi, LUO Zhigang, CHEN Dayong, HUANG Shoushuang, HU Zhangjun, CHEN Zhiwen
    2020, 26(3):  425-432.  doi:10.12066/j.issn.1007-2861.2040
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    Dyeing wastewater has deep color, serious toxicity and poor biodegradability. As a result, it is necessary to decolour and mineralize it before entering seas or rivers. Semiconductor photocatalytic oxidation is considered as a promising technology for the degradation of persistent organic pollutant for its high efficiency and environmental friendliness, and the heart of this technology is to design the photocatalysts. As a common semiconductor, low specific surface area and low photocatalysis stay in the way of the application of zinc oxide (ZnO). In this study, graphene has been introduced to synthesize microspheres through a two-step hydrothermal reaction. On the one hand, graphene can absorb more pollutant due to its large area surface; on the other hand, it can act as electron receiver for its high conductivity, thereby declining the recombination of electron and hole, and improving the photocatalytic efficiency. The photocatalytic degradation study displayed the removal of methylene blue using pure zinc oxide and 1.0 % ZnO/RGO as catalysts were ca. 59.0% and ca. 89.2% (the highest) in 100 min, respectively, and the chemical oxygen demard (TOC) removals of methylene blue (MB) solution under the photocatalysis composite reaches 59.5%.

    Mass concentrations and seasonal variations of carbon, nitrogen and sulphur in PM2.5 in Shanghai
    HUANG Yining, ZHANG Shenghua, XU Binhua, ZHU Jiqi, MAO Wenwen, FENG Jialiang
    2020, 26(3):  433-442.  doi:10.12066/j.issn.1007-2861.2050
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    To better understand the chemical make-ups of PM2.5 in Shanghai, samples have been collected at a typical suburban site in Shanghai in four seasons with a high-volume PM2.5 sampler. Mass concentrations and compositions of carbon-, nitrogen- and sulphur-containing components in the PM2.5 samples have been measured with different instruments including elemental analyzer, thermal/optical carbon analyzer, ion chromatograph, and chemical oxidation-UV spectrophotometer, and the result from the different methods were compared. The seasonal variations and influencing factors of the concentrations of these components were investigated. Furthermore, methods for the estimation of the mass concentrations of carbon-, nitrogen- and sulphur-containing components in PM2.5 in Shanghai with the C, N, S concentrations from the elemental analyzer was developed. Results show that mass concentrations of total carbon in PM2.5 in Shanghai in spring, summer, autumn and winter are 14.26, 10.44, 11.89 and 24.35 ug·m-3 respectively, 8.72, 3.07, 5.07 and 17.09 ug·m-3 respectively for nitrogen, while 6.50, 4.06, 3.66 and 6.00 ug·m-3 respectively for sulphur. Most of the carbon in PM2.5 in Shanghai exists as organic and elemental carbon, and the contribution of inorganic carbon is very small. Most of the nitrogen in PM2.5 in Shanghai appears in the form of water-soluble inorganic components, while most of the sulphur-containing components appear in the form of water-soluble sulphate. Elemental analyzer could be used effectively to study the mass concentrations and compositional characteristics of the carbon-containing, nitrogen-containing and sulphur-containing components in PM2.5.

    Nonlinear vibration of beam with breathing crack
    WANG Tianyu, YANG Xiao
    2020, 26(3):  443-455.  doi:10.12066/j.issn.1007-2861.2051
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    Based on the curve of bending moment-rotation angle of the crack in beam under dynamic/static load and considering the transition effect between the open and closed states of the crack, a novel rotational spring model of the breathing crack with instant rigidity has been proposed, with a unified explicit formula of the vibration modes of the beam with an arbitrary number of breathing cracks, and an approximate computing method of the nonlinear dynamic response of the beam with breathing crack presented. The free vibration of the simply-supported beam with a breathing crack and dynamic response of the cantilever beam with two breathing cracks subjected to a harmonic load are analyzed numerically. The numerical results indicate that the open and closure procedure of the crack can be appropriately described with the rotational spring model of the breathing crack with instant rigidity as is presented in this paper, and that the instant frequency of the cracked beam is located between natural frequency of the beams with complete open crack and one of the beams with complete closed crack, which gradually converges to a constant. Furthermore, the open and closure state of the crack and its location on top or bottom surface of the beam have significant influences on the nonlinear dynamic response of the cracked beam.

    Dissipativity of multistep Runge-Kutta methods for a class of nonlinear functional-integro-differential equations
    ZHANG Yan
    2020, 26(3):  456-471.  doi:10.12066/j.issn.1007-2861.2052
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    In this paper, the dissipation of numerical solutions for nonlinear functional-integro-differential equations is studied. A sufficient condition of the dissipation of the multistep Runge-Kutta method is presented for the equation. Furthermore, a numerical example is given to illustrate the main result of this paper.

    Vehicle routing problem from the perspective of customer time satisfaction
    LI Changmin, TAO Ying, PENG Xian, YAO Lianjie
    2020, 26(3):  472-480.  doi:10.12066/j.issn.1007-2861.2042
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    Considering the fact that the common vehicle routing problem model with time window (VRPTW) constraint cannot truly reflect customers' preferences of time, a modified vehicle routing optimization model based on customer time satisfaction function (vehicle routing problem with satisfaction (VRPWS) model) has been proposed. This new model is designed by relaxing the restriction that each demand point should be served if passed so as to allow vehicles to pass all demand points many times. And the simulate anneal algorithm is used to solve this problem. In order to illustrate the validity of VRPWS, a numerical example has been introduced. Through the numerical simulation and calculation, it is found that the VRPWS model is superior to the traditional vehicle routing optimization model with soft time window (VRPSTW) constraints and the vehicle routing optimization model with time window constraints in that it increases the delivery revenue by 170.0% and 3.2% respectively. This study helps logistics enterprises to improve their customer satisfaction and reduce their transportation costs in the delivery process.

    Analysis and countermeasures on the correlation between talent structure and enterprise revenue in textile and garment industry——taking Ningbo as an example
    SUN Haimei
    2020, 26(3):  481-490.  doi:10.12066/j.issn.1007-2861.2210
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    The textile and garment industry has always been the key one of the national economic industry, which plays an active role in meeting people's living needs, expanding export, increasing financial revenue, absorbing employment and promoting regional economic development. This research takes the optimization of the talent structure in short supply in textile and garment industry as the breakthrough point, analyzes the correlation between the talent structure of domestic representative textile and garment listed companies and their revenue, and combines the results of correlation analysis with Ningbo's core task of building 246 textile and garment industry cluster economy. At last it puts forward how to optimize the structure of talents and introduce and train talents in short supply according to local conditions in the process of textile and garment industry development, and puts forward countermeasures and suggestions for the policy planning of industry enterprises and government.