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中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

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    Transport+Big Data and Artificial Intelligence
    Prediction Method of Port Throughput with Improved Elman Neural Network Based on Adaboost
    LI Guangru, ZHANG Xin, ZHU Qinghui
    2021, 40(05): 1-5.  DOI: 10.3969/j.issn.1674-0696.2021.05.01
    Abstract ( )   PDF (638KB) ( )  
    In order to improve the accuracy of port throughput prediction, an improved Elman neural network prediction model based on Adaboost algorithm was established for port throughput prediction. Firstly, Elman neural network was used for many times of training and iteration, and then each Elman neural network was used as a weak predictor. Based on Adaboost algorithm, multiple weak predictors were weighted and combined to form an Elman-Adaboost strong predictor model. The strong predictor optimized by Adaboost algorithm had a stronger ability to identify data samples with large errors and could realize dynamic reinforcement learning of data. The port throughput data of Ningbo-Zhoushan port from 2011 to 2017 were taken as samples for simulation. BP neural network, Elman neural network, BP-Adaboost neural network and Elman-Adaboost neural network were used for prediction respectively, and the prediction accuracy of the four models was compared. The data results show that: the Elman-Adaboost strong predictor model can be used for port throughput prediction, the maximum relative error of its prediction result is 1.91% and the minimum relative error is 0.06%. When the prediction error can be controlled below 2%, the data fitting effect is better and the prediction accuracy is higher. It can be used as a method of port throughput prediction.
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    Calculation and Simulation of Delay during Train Failure Rescue of Urban Rail Transit
    SUN Yuanguang1, JIAN Min2, JIN Hua2, CHEN Shaokuan2
    2021, 40(05): 6-12.  DOI: 10.3969/j.issn.1674-0696.2021.05.02
    Abstract ( )   PDF (894KB) ( )  
    Aiming at the problem of train failure rescue mode and delay calculation of urban rail transit, the operation process of train failure rescue was firstly analyzed, and then the delay calculation methods of five rescue modes were established according to the operation process. Finally, Open track was used to simulate the train failure rescue of a subway line in Fuzhou, and the simulation and calculation results were compared and analyzed. The research results show that: increasing the rescue speed within a certain range can effectively reduce the operation time of the rescue train; the proposed calculation method can reflect the delay situation more accurately; within the starting and ending points of the rescue, the delay of the later trains running in a fixed block will suddenly increase and accumulate, resulting in the difference of delay increase.
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    Optimization Model of Track Application for Metro Depots
    WANG Honggang1,2, BAI Peng1, ZOU Qingru2, ZHAO Ling1
    2021, 40(05): 13-18.  DOI: 10.3969/j.issn.1674-0696.2021.05.03
    Abstract ( )   PDF (679KB) ( )  
    For the problem of track arranging when trains returned to a depot, all situations that returning trains could not be maintained smoothly according to the maintain plan due to the unreasonable track arranging were analyzed, and the operating cost caused by the unreasonable track arranging were transformed into additional shunting works. Based on the train operation plan and the maintenance plan, the optimization model of track arranging for metro depots which took the minimum times of total shunting works as the optimization objective was established, in order to improve the production efficiency of metro depots. Finally, taking a metro depot as an example, the non-dominated sorting genetic algorithm was used to solve the proposed model and carry out the simulation analysis, which verified the effectiveness and correctness of the proposed model.
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    Evaluation of Emergency Disposal Ability of Train Dispatcher of High-Speed Railway
    SUN Yanhao1,2, ZHANG Qi1,2, REN Yumou1,2,3, SUN Pengju4
    2021, 40(05): 19-25.  DOI: 10.3969/j.issn.1674-0696.2021.05.04
    Abstract ( )   PDF (1214KB) ( )  
    In view of the fuzziness and uncertainty of emergency response capability evaluation of high-speed railway train dispatcher, an evaluation index system of emergency response ability of high-speed railway dispatcher was proposed, which was from four indexes: quality level, communication and coordination, standardized operation and reasonable adjustment. Fuzzy-AHP was used to calculate the index weight, and the membership degree of the expert group to the secondary index evaluation results was obtained. Finally, an evaluation model based on evidence reasoning (ER) algorithm was proposed. The evaluation process of ER algorithm model was illustrated by the example of high-speed railway train dispatcher’s response to “turnout loss representation”. The evaluation results of ER algorithm model and AHP model on the emergency response ability of high-speed railway train dispatchers were compared and analyzed. The research results show that: when dealing with the fuzziness and uncertainty of evaluation information, ER algorithm model has higher reliability than AHP model does.
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    Short-Term Passenger Flow Prediction between High-Speed Railway Stations Based on Stacked Auto-encoder
    LIU Jie
    2021, 40(05): 26-30.  DOI: 10.3969/j.issn.1674-0696.2021.05.05
    Abstract ( )   PDF (2140KB) ( )  
    Short-term passenger flow forecast between stations is an important basis for high-speed railway operation and management. Firstly, the samples and tag sets were obtained based on the extraction of the characteristics of the original passenger flow data; and then, the parameters of the neural network model were pre-trained based on the stacked auto-encoder algorithm; finally, the neural network prediction model was constructed. Taking Yuwan high-speed railway as an example, the data from November 2016 to October 2018 were used for verification. The results show that the prediction error of the proposed model is 12.08%, which improves the accuracy by 12.12%, 1.12%, 6.9% and 19.12% respectively, compared with the other four commonly used prediction models. The proposed model is suitable for short-term passenger flow prediction.
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    Characteristics Analysis of Hubei Expressway Network Based on Complex Network
    ZHENG Yibin, CAI Hangpeng, LAI Weiwei, LIU Guanyu
    2021, 40(05): 31-37.  DOI: 10.3969/j.issn.1674-0696.2021.05.06
    Abstract ( )   PDF (3826KB) ( )  
    Taking the expressway network of Hubei Province as the research object, the network topology model was established by the Space-P method, and the static characteristics, centrality and robustness of the expressway network were analyzed. The research results show that the network structure of expressways in Hubei Province has obvious characteristics of small world network. The nodes can be accessed through fewer path conversions, and the network connectivity is good. Under the random attack strategy, the road network shows good robustness; while the node degree and clustering coefficient of some nodes are lower, and the network connectivity of local areas is poor. At the same time, from the analysis perspective of node centrality, the importance of some nodes in the expressway network is too high, and the performance of the road network is significantly reduced under the deliberate attack strategy.
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    Truck Side-Slip Velocity Model in Curve Road Section Based on TruckSim Simulation
    PAN Binghong1,2, HU Wei1, REN Hui1, SHAN Huimin1
    2021, 40(05): 38-45.  DOI: 10.3969/j.issn.1674-0696.2021.05.07
    Abstract ( )   PDF (1813KB) ( )  
    For the inaccuracy of speed control in curved road section at present, a three-axle truck was taken as the research object, and the dynamic stiffness characteristics of vehicle suspension, body roll angle and non-linear characteristics of tire were comprehensively taken into consideration by TruckSim software. Vehicle dynamics, road scene, driving strategy and lateral load transfer rate (PLTR) model were established. Through the interactive simulation experiment of different radius of curve, height of center of gravity and speed, the simulation experimental data were fitted by three-dimensional surface function, and the side-slip mathematical model of vehicle turning safety speed under different adhesion coefficients was obtained, which provided a reference for the generation of speed control way of curve. The research results show that the safety speed is correlated with the height of the center of gravity and the radius of curve to different extent. By comparing the side-slip model with the current curve safety speed model, it can be seen that the curve safety speed value is more safe and in the range of the safety theoretical value of the general model. In addition, considering the influence of the longitudinal slope on the safe vehicle speed value, it is found that the driving on the larger radius circular curve is prone to be safe. Finally, the simulation condition with radius of 300 m and height of center of gravity of 1.8 m is established. The safety vehicle speed value based on PLTR interactive model is compared with that obtained by the proposed model. And the calculation error is reduced from 18.4% of the general model to 0.3%.
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    Improved Weighted MOBIL Decision Model for Autonomous Lane Change in Networked Autopilot Environment
    PAN Yiyong, WANG Song
    2021, 40(05): 46-52.  DOI: 10.3969/j.issn.1674-0696.2021.05.08
    Abstract ( )   PDF (4633KB) ( )  
    In order to improve the efficiency of expressway operation and reduce traffic congestion and traffic accidents, the traditional MOBIL decision-making model of autonomous lane change was improved. In the environment of networked autopilot, considering the different influence degree of vehicle lane changing on the braking of multiple rear vehicles in the original lane and the target lane, the weight factor expression was constructed. The numerical simulation experiment was carried out by using MATLAB software, and the weighted MOBIL decision-making model was compared with the traditional model through qualitative and quantitative analysis. The experimental results show that the weighted MOBIL lane-changing decision-making model can improve the average speed of traffic flow, reduce delay and reduce the overall braking range, compared with the traditional lane-changing model. Therefore, the proposed improved weighted MOBIL autonomous lane-changing decision-making model can improve the operational efficiency and safety of traffic flow.
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    Subjective Attitude Identification and Impact Analysis of Residents Low-Carbon Commuting Travel
    WU Wenjing, SUN Renchao, ZONG Fang, JIA Hongfei
    2021, 40(05): 53-58.  DOI: 10.3969/j.issn.1674-0696.2021.05.09
    Abstract ( )   PDF (474KB) ( )  
    Based on the existing SP data of low-carbon commuting travel, the samples were clustered by using intuitionistic fuzzy c-means clustering algorithm to identify the subjective attitude types of residents toward low-carbon commuting travel. A MIMIC model of low-carbon commuting travel intention of different types of residents was constructed to study the differences of behavioral willingness formation mechanism among groups with different subjective attitudes. The research results show that the residents subjective attitudes toward low carbon commuting travels can be divided into three categories: positive, neutral and negative. There is a correlation relationship among residences subjective attitudes, travel mode choices and low-carbon commuting travel intention. The groups with different subjective attitudes influence the composition of the influencing factors of the behavior intention and there are differences in the path and intensity of influencing factors on behavioral intention.
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    Cluster Analysis of Taxi Spatiotemporal Behavior Based on Non-negative Matrix Factorization
    LI Jun, DENG Yuxin
    2021, 40(05): 59-65.  DOI: 10.3969/j.issn.1674-0696.2021.05.10
    Abstract ( )   PDF (10404KB) ( )  
    To discuss the characteristics of taxi spatiotemporal behavior, a cluster analysis of taxi behavior was carried out by adopting the non-negative matrix factorization from two dimensions of time and space. Firstly, the spatiotemporal unit was divided, the spatiotemporal behavior of taxis was represented by the spatiotemporal distribution characteristics of pickup points and the spatiotemporal behavior matrix was established. Then, the non-negative matrix factorization was adopted for taxi clustering. Finally, a case study of Guangzhou was carried out. The cluster results show that taxis can be divided into four categories under the influence of the spatial structure of Guangzhou, and taxis were less affected by the time dimension, but there are obvious differences in behavior in different periods. In addition, the taxis form a specific spatiotemporal behavior pattern that they operate around the commercial center in space and adjust the scope of operation to adapt to the travel activity demand in different periods of time. The study reveals the relationship among taxis spatiotemporal behavior, urban spatial structure and urban travel activities, which can provide reference for the development of taxis and urban management.
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    Transportation Infrastructure Engineering
    Experimental Study on a New Connection Structure of Anti-collision Device for Pier Composite Materials
    ZHENG Zhi1,2, GENG Bo2, YUAN Pei2, LI Songlin2, HU Zhengtao3
    2021, 40(05): 66-73.  DOI: 10.3969/j.issn.1674-0696.2021.05.11
    Abstract ( )   PDF (15530KB) ( )  
    Aiming at the problem that composite material anti-collision device was easy to cause failure of connection and loss of protective performance, a new connection structure was proposed. Firstly, the most disadvantageous force state of the connection structure under static load and impact load was determined. Furthermore, the basic mechanical properties of the materials were tested. The orthotropic constitutive model was defined based on the experimental results. Then, the optimal construction parameters of connection structure were analyzed. Finally, the tensile strength test of the connection structure was carried out to verify the accuracy of numerical calculation and to determine the failure mode and load. Research results show that mechanical properties of FRP materials are orthotropic. The transverse average tensile strength is 332 MPa, tensile modulus is 2.99 GPa and the longitudinal average tensile strength is 350 MPa, tensile modulus is 3.32 GPa. The most disadvantageous state of the connection structure is tension under the static and impact loads for tension, compression and shear. The deformation characteristic is that the angular of slot root increases and the pin has a tendency to be pulled out. Connection performance is the best when the ratio of the root width of slot tooth plate to the width of pin tooth plate is 0.8 and the internal rotation angle of slot tooth plate is 6 ° to 8 °. The tensile capacity of single pin connection under optimal construction is 1 290 kN and the maximum stress is 341 MPa. The tensile stiffness of scale test model is 428.5 kN/m. The calculation value of tensile failure load of scale test model is 22.5 kN and the measured value is 22 kN. The failure mode is that the root of the slot is torn and the pin is pulled out.
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    Method of Fiber Aligning in UHPC and Its Influence on the Tensile Performance
    ZHANG Yang1, QU Shaoqin1, LU Jiuzhang2, HUO Wenbing3
    2021, 40(05): 74-80.  DOI: 10.3969/j.issn.1674-0696.2021.05.12
    Abstract ( )   PDF (6475KB) ( )  
    Based on the characteristics that the flow of fresh-mixed UHPC changes the orientation of inner fibers, the method of channel flow combining with the vibration was used to realize the fiber aligning casting of UHPC. The effect of fiber aligning casting on the inner fiber orientation of UHPC was measured by image analysis, and the effect of fiber orientation on tensile properties of UHPC was measured by bending test and axial tensile test. Finally, the index for quantitative evaluation of the influence of fiber orientation on the tensile strength of UHPC was proposed. The research results show that the fiber orientation coefficient of UHPC under the conventional casting is 0.487, which is close to 0.5; while the fiber orientation coefficient of UHPC under fiber aligning casting reaches 0.731. With the effect of fiber aligning, the cracking strength of UHPC is increased by 24%, and the tensile strength and flexural strength of that are increased by about 66% and 71% respectively. About 69% increment for UHPCs tensile strength by fiber aligning is calculated by aforementioned quantitative evaluation index, which is close to the measured value and can be considered as a reliable index to quantitatively evaluate the influence of fiber orientation on the tensile strength of UHPC.
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    Effect of Freeze-Thaw Cycles and Corrosion on Bond Behavior of Reinforced Concrete
    DONG Yuwen1, YU Xin2, QIN Yao1, WANG Zongbo1
    2021, 40(05): 81-86.  DOI: 10.3969/j.issn.1674-0696.2021.05.13
    Abstract ( )   PDF (9704KB) ( )  
    By laboratory experiments, the effect of freeze-thaw cycles and corrosion on the interfacial bonding properties of reinforced concrete specimens was researched. Results show that the mortar is fallen off, the aggregate is exposed and the mechanical properties are declined under the freeze-thaw action. When the corrosion rate is small, the bond behavior of reinforced concrete is enhanced. But when the corrosion rate is large, the bond behavior of the reinforced concrete is lower than that of the non-corroded specimen, and the serious corrosion will reduce the bond behavior of reinforced concrete. The joint action of corrosion and freeze-thaw causes the decrease of concrete strength, the enhancement of plasticity and the obvious decrease of bond behavior between steel and concrete. With the increase of freeze-thaw times, the ultimate tensile load of the reinforced concrete decreases gradually. Under the joint action of corrosion and freeze-thaw, the relationship between tensile force and displacement is piecewise linear at the initial tension stage of reinforced concrete specimens. When the tension force reaches the ultimate load, the tension-displacement curve shows obvious plastic deformation characteristics.
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    Fracture Mechanism of Pavement around Manholes in Urban Road
    ZHAO Quanman, REN Ruibo, LIU Yao, LI Zhigang, HU Guiling
    2021, 40(05): 87-94.  DOI: 10.3969/j.issn.1674-0696.2021.05.14
    Abstract ( )   PDF (3283KB) ( )  
    In order to study the fracture mechanism of pavement around manholes (PAM) in urban road, based on the disease investigation of PAM, the coupling vibration model of vehicle-manhole cover was established by considering the vibration and deformation of the manhole cover. The vehicle dynamic load characteristics were analyzed, and the structure model of manhole and PAM was established. The mechanical response of PAM under vehicle load was calculated, and the failure mechanism was explored. The results indicate that the failure radius of PAM fracture is generally within 1.2m; the settlement of manhole is mainly distributed in 0 ~ 10 mm, and the slope variation caused by uneven settlement of manhole is mainly distributed between -1% and 1%; the maximum clearance value of PAM is 35 mm, while that of the conventional pavement is less than 5 mm; the smoothness of PAM is much worse than that of the conventional road. The dynamic load characteristics of vehicles passing through PAM are obvious, which can reach 1.29 times of the static load. Factors such as vehicle speed, manhole settlement, PAM smoothness, uneven settlement of manhole and insufficient compaction of subgrade and PAM all have a great influence on the fracture of PAM under vehicle load.
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    Grey Prediction of Asphalt Pavement Performance Based on Variable Weight Evaluation
    WANG Zhixiang1,2, LI Jiange1, CHEN Chupeng2
    2021, 40(05): 95-101.  DOI: 10.3969/j.issn.1674-0696.2021.05.15
    Abstract ( )   PDF (525KB) ( )  
    In order to evaluate and predict the performance of asphalt pavement more accurately, firstly, the weight of each measured sub-index was distributed based on the hierarchical variable weight method, and the technical condition of asphalt pavement was evaluated. The gray GM (1, 1) prediction model of asphalt pavement technical condition index was established. And then, the use status of typical asphalt pavement in hot and humid areas was predicted and the reliability of the prediction was verified based on the measured data. Finally, the maintenance suggestions were given according to the prediction results. The results show that the weight distribution of sub-indexes of asphalt pavement technical condition index evaluation based on AHP is more reasonable, which can more accurately evaluate the actual use of asphalt pavement; the grey GM (1, 1) prediction model has higher accuracy and smaller relative error, which can accurately predict the performance of asphalt pavement in hot and humid areas, and can be widely used.
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    Effect of Alkali Slag Content on Mechanical Properties of Semi-rigid Recycled Base Course at Different Ages
    XIAO Qingyi1,2,3, FENG Shijie1, SUN Lidong1, CHEN Xiangwei1
    2021, 40(05): 102-109.  DOI: 10.3969/j.issn.1674-0696.2021.05.16
    Abstract ( )   PDF (2263KB) ( )  
    In order to obtain the effect of the amount of alkali slag on the mechanical properties of the rigid regenerated base layer at different ages, the different amount of alkali slag was considered. Through the unconfined compressive strength test and indoor compressive rebound modulus test under the curing age of 7, 28, 90 and 180 days, the differences between different systems were compared and analyzed. The results show that with the increase of curing age, the unconfined compressive strength and compressive rebound modulus of the semi-rigid regenerated base layer of each alkali slag content increase continuously. With the increase of alkali slag content, the unconfined compressive strength and compressive rebound modulus of the stable semi-rigid regenerated base layer increase continuously during the first 28 days of curing age, and the amount of increase is larger when the alkali slag content is less than 3%. After 28 days of curing age, the unconfined compressive strength and compressive rebound modulus gradually decrease with the increase of alkali slag content, and the amount of reduction increases when the amount of alkali slag exceeds 3%, which are finally less than the unconfined compressive strength and compressive rebound modulus without alkali slag. Under the condition of ensuring the best mechanical properties, the best dosage range of alkali slag instead of lime is 1%~3%.
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    Prediction of the Maximum Surface Settlement of Shield Tunnel in Sandy Cobble Stratum
    WEI Meng, FANG Zhongyang, CHAI Bingbing, QI Jinhui
    2021, 40(05): 110-115.  DOI: 10.3969/j.issn.1674-0696.2021.05.17
    Abstract ( )   PDF (1093KB) ( )  
    In order to accurately predict and calculate the maximum surface settlement, the regression analysis was carried out on the monitoring data of the white engine interval of Chengdu Metro Line 17 to obtain the width of settlement groove i, and the correlation between the buried depth of the tunnel H and i was analyzed. The concept of effective grouting rate n2 was put forward, and the calculation formula of loss volume per unit stratum V was revised. A formula for calculating the maximum surface settlement Smax was proposed based on the field data of known shield cutter-head radius, segment outer diameter, total grouting rate, slag discharge, grouting volume, slag soil loosening coefficient and tunnel buried depth, which was calculated and verified in the machine terminal section of Chengdu Metro Line 17. The research shows that when the tunnel depth H=10~19 m, the relationship between H and i conforms to the Allometricl model; the checking calculation by case study shows that the proposed calculation formula of the maximum settlement of the earth surface is more accurate.
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    Engineering Practice of “A2/O+Coagulation Sedimentation + Fiber Rotary Plate Filtration” Process in Upgrading of Sewage Treatment Plant
    ZHANG Zhanmei1, SHI Ruiqi1, REN Xiaoyu1, PAN Yunxia2, LI Rui3
    2021, 40(05): 116-121.  DOI: 10.3969/j.issn.1674-0696.2021.05.18
    Abstract ( )   PDF (461KB) ( )  
    With the increasingly strict requirements of environmental protection, higher requirements for the effluent quality of urban sewage treatment plants were put forward. The originally designed effluent of Changtu sewage treatment plant was the first class B discharge standard of GB18918—2002 standard for pollutant discharge of urban sewage treatment plants, whose treatment process was single and process flow was not perfect. Moreover, the project was located in a cold area, resulting in unstable effluent quality, which needed to be urgently upgraded. Based on the current situation and main problems of the proposed project, the original biochemical process was upgraded from A/O process to A2/O process. In addition, the “coagulant sedimentation + fibber rotary plate filtration” advanced treatment unit and disinfection process were added. The research results show that after the transformation, the operation of the sewage treatment system is stable, the treatment effect is good, and the effluent quality can meet the first class A discharge standard of GB18918—2002 standard for pollutant discharge of urban sewage treatment plants. The proposed project practice can be used for reference to upgrade and transform wastewater treatment plant in cold area.
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    Transportation Equipment
    Operation Stability Analysis of Articulated Straddle Monorail Train
    DU Zixue, MA Chuanxiang
    2021, 40(05): 122-128.  DOI: 10.3969/j.issn.1674-0696.2021.05.19
    Abstract ( )   PDF (2200KB) ( )  
    Each section of the traditional straddle monorail train was carried by two bogies body. In order to reduce the number of bogies and realize the lightweight design of straddle monorail, a new type of three-module articulated straddle monorail was designed by integrating the structure of straddle monorail and the characteristics of articulated monorail. The dynamics model was established based on the dynamics simulation software SIMPACK, and the simulation experiments on the stability performance of the model under no-load condition were carried out at three different speeds through the radius 100m curve. The simulation results show that the three module articulated straddle monorail trains run well at 3 different speeds through the radius 100m curve, but the operation stability of the train becomes gradually worse with the increase of speed.
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    Working Condition of Electric Vehicle Based on K-Mean Clustering and Support Vector Machine
    YU Man, ZHAO Weihua, WU Ling, LI Yuhan
    2021, 40(05): 129-139.  DOI: 10.3969/j.issn.1674-0696.2021.05.20
    Abstract ( )   PDF (6586KB) ( )  
    Aiming at the problem that the current driving cycles were difficult to reflect the real driving conditions of vehicles, taking Xian—a typical large city in China as an example, the construction method of driving cycle of electric vehicles was studied. Firstly, according to the road layout of Xian, the data acquisition scheme of urban road driving condition was designed. Then a semi-supervised classification model combining K-means clustering and support vector machine was proposed to construct the Xian driving cycle. Finally, the Xian driving cycle was compared with the original test data and the international standard driving cycles. The research results show that the relative error between the characteristic parameters of the Xian working condition and actual road driving data is less than 5%, and the average relative error is only 2.66%, which indicates that the constructed driving cycle can truly reflect the motion characteristics of vehicles in Xian. Moreover, because of the difference of power system, the driving cycle of electric vehicle is more radical than that of internal combustion engine vehicle.
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    Driving Stability of Wheel Loader under Multiple Road Conditions
    CAO Yuanwen1, CHEN Zuo1, ZHAO Jiang2, ZHANG Xiaoqiang3, ZHENG Tingting4
    2021, 40(05): 140-146.  DOI: 10.3969/j.issn.1674-0696.2021.05.21
    Abstract ( )   PDF (615KB) ( )  
    In view of the problems of driving instability that often occurred during the driving of wheel loader under multiple road conditions, the stability calculation and dynamic model simulation method were used to analyze the driving stability of wheel loader under multiple road conditions. The corresponding dynamics model was established, and the stability and instability angle of the wheel loader under various working conditions on vertical and horizontal slopes were calculated. With the help of ADAMS, the tipping test bench model was established to simulate the driving stability of wheel loader under multiple road conditions, and the corresponding instability angle was obtained. Through the error analysis of the instability angle obtained by calculation and experiment, the reliability of the simulation results was verified. The research results show that the error rates of instability angles under 6 working conditions on vertical and horizontal slopes are 5.13%, 4.76%, 2.71%, 5.56%, 13.04% and 10.53% respectively, which are all within a reasonable range. Among them, no-load uphill, full load downhill on longitudinal ramp and full load on transverse ramp are dangerous conditions with frequent tipping accidents.
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