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: :
The practice of crumb rubber derived from scrap tires to modify the mechanical properties of bituminous mixtures has become increasingly important in road engineering. In recent years, much research has been devoted to the influence of this waste material on pavement performance. This paper aims to address the influence of crumb rubber (CR) polymers on the performance of asphalt pavements. Thus, asphalt mixtures with varying percentages of CR mixed by the wet process were tested. The statistical analysis revealed that crumb rubber significantly increased the stiffness modulus, rutting resistance, and pavement resistance to moisture damage. The study concludes that an addition of 20% to 24% of crumb rubber modifiers to conventional asphalt mixture yields the most satisfactory results among other percentages of CR polymers. The study recommends the use of crumb rubber in pavement construction.
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.
Bitumen supplies into Australia have become more diverse as importation of bitumen has become common and Australian refineries have been closed or reduced in their capacity. The products on which empirical links between bitumen properties and field performance were established are likely to have changed over the years. This has undermined the effectiveness of the empirical bitumen specifications used in Australia. Similar experiences in New Zealand and South Africa prompted the introduction of performance-based testing. In the USA, the multiple stress creep recovery (MSCR) test was developed as a high-temperature performance grading criterion. The MSCR test is performed using a dynamic shear rheometer. A number of these devices are already available in Australia. The test is simple and takes about 15 minutes to complete. The MSCR test was adopted by the USA for high temperature performance grading of binders because of its advantages over the traditional |G*|/sin δ. The MSCR was used to evaluate three samples of multigrade M1000 bitumen retained from a number of airport overlays. The M1000 samples assessed were found to be unsuitable at 76°C but suited to very heavy and extreme traffic loadings at 70°C and 64°C respectively. The MSCR testing of binders is recommended for high shear stress asphalt applications, such as airport surfaces.
Tunnel traffic flow has distinct microscopic characteristics compared with other road sections because of its special driving environment. Cellular automata (CA) is a method that uses cells as basic units to describe the overall behavior of complex systems. It has natural advantages for describing microscopic traffic flow characteristics. In this paper, a modified cellular automata model is established to study the characteristics and the spatial evolution mechanism of the traffic flow on a special section of the expressway such as expressway tunnel. Based on the model, the nucleation and dissolution of the traffic flow under different traffic density is simulated. It is found that the stop-and-go phenomenon becomes much more evident with the increase of the traffic density. The time takes by traffic nucleation to dissolution on high-speed lanes is less than that takes on the slow-speed lanes, and the visual blind are resulting from the drivers’ adaptation to luminosity at the entrance of a tunnel can apparently decrease the capacity of traffic flow at an expressway.
Since dwell time usually takes a large part of bus travel time, the large variability in dwell time always makes accurate prediction of arrival time\travel time difficult. On the other hand, Automatic Vehicle Location (AVL) and Automatic Passengers Counters (APC) systems are increasingly implemented for transit operation, which yield a vast amount of real time data. The emphasis of this research is to develop a bus dwell time model based on AVL and APC dynamic data, which is capable of providing real time information on bus arrival times. This model can be used for stop-based control strategies as well. The dwell time model established in this paper not only includes the number of passengers boarding and alighting, but also considers secondary factors like crowding and fare type. The number of boarding and alighting passengers is estimated by passenger arrival rate, bus headway, and capacity. Collection method, service mode, capacity restriction and occupancy of the vehicle are all taken into account in the model. Furthermore, the model is validated with the data of bus line Jiading 3 in Shanghai, China. It is compared with two previously developed models for the same route in four data sets. The results indicate that the models can be well applied in high demanded urban bus lines, especially in presence of high occupancy of vehicles. Since the effectiveness of estimation models is verified by statistical analysis methods, it will help in obtaining a reliable algorithm which can be adopted for bus arrival time/travel time prediction and assessing transit stop-based dynamic control actions.
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