Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) was originally founded in 1959. The publisher of the journal is Wuhan University of Technology. JWUT first got the scopus license in the year 2001. The journal generally publishes all aspect of engineering sciences like: physics, chemistry, mathematics, and all sorts of general engineering.
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) (ISSN:2095-3844) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are in the following fields but not limited to: :
Electric bicyclists are vulnerable road users and play an important role in traffic safety. The focus of this research is on analyzing cyclists’ injury severity in vehicle-electric bicycle collisions. It is an exploratory analysis that was conducted based on samples obtained from video data provided by the police of Xi’an China. Three types of severity include fatal, injury, and property-damage only (PDO). A random parameter logit (RPL) model was specified to gain more insights into factors related to the injury severity level, including human behaviors, vehicle characteristics, roadway attributes, and environmental conditions. Some factors not included in previous research were introduced into this study, especially precrash behaviors of drivers and cyclists. The direct pseudo-elasticity effects of variables were compared to investigate the stability of individual parameter estimates on the severity categories. The results indicated that variables that significantly increment the probability of fatal accidents were as follows: driver violation behaviors (speeding, red-light violation, driving in the opposite direction), cyclist violation behaviors (speeding, red-light violation), day of time (nighttime), visibility restrictions (fixed obstacles), and vehicle type (larger bus, small truck, and larger truck). Based on these findings, we suggested measures such as strengthening law enforcement by installing cameras, implementing zero tolerance for cyclist violations, promoting education by completing training courses for cyclists, and enhancing traffic safety awareness through educational activities. The research results can provide a theoretical basis for formulating strategies to improve cyclist safety.
Noise and vibration on board ships produced by the operation of ship machinery and equipment generates a huge challenge for crew and passengers. Control of noise in ship cabin presents an important project criterion worth studying. Maintaining noise and vibration levels within standards of IMO ensures adequate comfort onboard ship crew. To control noise under IMO standards, fast-modelling strategies for cabin noise level based on SEA is proposed. By using Vibro-acoustic software (VA-one), an acoustic design of a RO-RO passenger ship is demonstrated. Application of appropriate noise and vibration isolation materials, control treatment and vibration isolation treatment, noise levels within the ship is recorded and analyzed. Analysis show noise levels on enginedecks were not in tune with standards provided by IMO, therefore mechanical vibration materials were used to insulate the decks, results show a noise reduction of 12dB(A). The cabins were also insulated with sound absorbing materials firmly held together using adhesives, application of the sound absorbing material show a noise reduction of 3~8dB(A). The application of the noise reduction techniques on engine decks and in cabins show an overall noise reduction of 3dB (A) ~ 12dB (A) which falls within acceptable noise level limits of 2014 IMO standard.
Fatigue cracking is one of the main diseases that affect pavement durability. Understanding the relationship between the self-healing ability and fatigue life of asphalt materials from the molecular level will aid in the preventive maintenance and improvement of asphalt pavement. This work analyzes the research progress on the self-healing of asphalt and asphalt mixtures, including self-healing mechanism, influencing factors, evaluation methods, and improvement aspects. Factors affecting the self-healing performance are categorized as internal, such as molecular structure, asphalt motion and diffusion, asphalt viscoelasticity, and thixotropy, and external, such as humidity, temperature, induction conditions, and time. The self-healing performance can be adjusted by optimizing the chemical composition of the asphalt materials, changing the preparation method, and ensuring the spontaneous structure formation to achieve the intellectualization of the intrinsic material. This work sheds light on the design of materials and structures for durable pavement from the perspective of the self-healing behavior of asphalt materials.
With the evolution of better highway services and larger traffic volume, the traditional maintenance management indicators can no longer satisfy the demands of highway traffic safety. In order to ensure timely, fast, safe, and reliable highway maintenance and repair, this paper proposes a road traffic safety maintenance evaluation method. The fuzzy maintenance evaluation method based on the gray correlation degree is used to construct the safety maintenance evaluation model. The damaged characteristics of the high-grade highway components are analysed. The parameters of the evaluation model are established using the analytic hierarchy process, and the accuracy of the model is verified through experiments. The results show that the safety service level can intuitively measure the maintenance and repair status of various transportation facilities. When the safety level is 1 (above 87 points) or 2 (above 85 points), the road maintenance and repair are in good condition and the road users have a high level of satisfaction on safety; when the safety level is 3 or 4 (80 points or less), it reflects that there are weak links in the road components, and targeted maintenance repairs are required. The results provide references for highway safety maintenance decision-making and improvement of highway traffic safety services to some extent.
The design of the ship cabin layout is a multi-objective comprehensive optimization problem, which needs to consider the location of the passage, cabin layout, space utilization ratio, functional realization, comfort, safety, and so on. In this paper, an improved tabu-criterion genetic algorithm for the intelligent design of ship cabin layout is proposed. According to the characteristics of ship accommodation cabin layout design, a ship deck layout area model and a multi-objective optimization model including relative location model, absolute location model, and ergonomic constraint model are established. The neighborhood transformation criterion and tabu-criterion of tabu search algorithm are introduced into genetic algorithm to advance the local search ability of a genetic algorithm. At the same time, a new genetic algorithm coding method is proposed to avoid the generation of illegal solutions in cabin layout sequence crossover and mutation operation. The improved genetic algorithm can effectively improve the local search ability of a genetic algorithm and make the algorithm converge to the optimal solution as soon as possible at the later stage of calculation. Finally, the simulation results verify the feasibility and efficiency of the proposed intelligent design method for ship accommodation cabin layout.
To estimate evacuation capacity of subway stations under emergency conditions, a bilevel programming model of evacuee equilibrium is built by considering travel time on walking facilities with various congestion degrees. The upper-level model ensures the maximum utilization of facilities, whereas the lower level model is to minimize the evacuation time by determining how to guide evacuees to arrive at safety zones. An improved particle swarm optimization algorithm is designed to solve the model. To validate the model and algorithm, by taking capacity estimation of Fuxingmen Station of Beijing Subway as an example, evacuation process is simulated to get the optimal routes and proper estimation. Evacuation passenger flow per unit time and network crowdedness are selected as indexes to estimate the capacity of station under emergency condition. The results show that the capacity of Fuxingmen Station is 1,071 persons per minute in the adverse situation.
Transport activities contribute significantly to the air pollution and its impact on emissions is a key element in the evaluation of any transport policy or plan. Calculation of emissions has therefore gained institutional importance in the European Community. Recently, the scientific community has assessed evidence that exposure to outdoor air pollution causes lung cancer and increases the risk of bladder cancer. Because air pollution in urban areas is mainly caused by transportation, it is necessary to evaluate pollutant exhaust emissions from vehicles during their real-world use. Nevertheless their evaluation and reduction is a key problem, especially in the cities, that account for more than 50% of world population. To obtain emission factors several methods make use only of vehicle mean velocity, which can be easily obtained by vehicle flow and density in the road. Among them it is worth mentioning COPERT IV, MOBILE, INFRAS, MEET models that are widely used in the practice. In ARTEMIS FP project, a new statistical approach has been developed capable to consider more attributes than the simple mean speed to characterize driving behaviour, not only in the determination of driving cycles but also in the emission modelling. In this context, a meso scale emission model, named KEM, Kinematic Emission Model, able to calculate emission factor was developed. However, it is necessary to consider that the input to this model is, in any case, the driving cycle, and that to develop a quantitative method capable to determine the exact mix of driving cycle, on the basis of road characteristics and traffic management rules, results a very hard job. In addition a particular attention could be given to the slope variability along the streets during each journey performed by the instrumented vehicle. So in this paper we try to develop a second version of KEM model that dealt with the problem of describing and introducing same variables relative to road gradient variability in a quantitatively way. In the context of correlation study between driving cycles/emission/geographical location, we have to solve some problems for the reconstruction of GPS coordinates and altitude, during an experimental campaign realized with an instrumented car.
A fictitious crack model is introduced into cracked reinforced concrete beams to assess the changing beam stiffness under loads. Firstly, nonlinear concrete stress distributions near cracks are built based on the model. Then the stress of the steel bar at the cracked section is considered as cohesive stress. The concrete and steel stresses are substituted into the equilibrium equations of forces to solve the concrete stress. Based on the solution, the section inertias are estimated by iterating the calculation of the cracking open displacement, and finally the beam stiffness is assessed. Experimental data from seven concrete beams after cracking are adopted to validate the effectiveness of the proposed method, and the results show that the fictitious cracks ahead of actual cracks increase their depth with the load, which will raise the neutral axis and change the inertias of cracked sections and their neighboring sections. These changes are taken into account in the stiffness assessment, so the results predicted by the proposed method are shown to coincide well with the nonlinear deflections measured in the experiments.
The purpose of this study is to provide a fast, continuous and accurate alternative positioning method for coastal ships under the condition of abnormal satellite positioning; On the basis of the traditional artificial radar location, a position information based on the reference target is developed, the target tracking function of radar is applied, the distance and azimuth data of the reference target to the ship are automatically collected, and the automatic radar location method of the ship's position is determined by means of the mathematical model of track; Through the experimental calculation and the real ship data, it is proved that the radar location with high precision can be realized under the condition that the reference target position information is obtained accurately.
The paper presents a software system for interactive 3D simulations of offloading operations commonly executed in offshore scenarios. The system was developed to simulate an LNG vessel approaching or departing from a FPSO unit or LNG tanker in 3D Virtual Environment. However, it has the capabilities of a global purpose manoeuvring simulator, including state of the art models of manoeuvrability, sea-keeping and sea surface simulations, which are integrated into the system. Additionally to common real-time physically based manoeuvrability simulators, this simulator also includes real-time ship motions calculations. The system architecture is composed of three main modules that support interaction and real-time data exchange with the integrated mathematical models. The manoeuvrability module allows the user to control the steering gear, the main engine and the bow thrusters, through the Virtual Environment. The seakeeping module computes wave induced ship motions in real-time according to ship's position, heading and speed, based on pre-calculated response amplitude operators. The sea surface module generates and simulates sea states defined by wave spectra. The system takes advantage of the programmable capabilities of the graphics processor units to increase the performance and realism of the simulations. The simulator may be used by operation planners and ship masters, as a tool for testing and training different offloading scenarios and approaching manoeuvres.
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