To assess operational performance of air traffic control sector, a multivariate detection index system consisting of 5 variables and 17 indicators is presented, which includes operational trafficability, operational complexity, operational safety, operational efficiency, and air traffic controller workload. An improved comprehensive evaluation method, is designed for the assessment by optimizing initial weights and thresholds of back propagation (BP) neural network using genetic algorithm. By empirical study conducted in one air traffic control sector, 400 sets of sample data are selected and divided into 350 sets for network training and 50 sets for network testing, and the architecture of genetic algorithm-based back propagation (GABP) neural network is established as a three-layer network with 17 nodes in input layer, 5 nodes in hidden layers, and 1 node in output layer. Further testing with both GABP and traditional BP neural network reveals that GABP neural network performs better
than BP neural work in terms of mean error, mean square error and error probability, indicating that GABP neural network can assess operational performance of air traffic control sector with high accuracy and stable generalization ability. The multivariate detection index system and GABP neural network method in this paper can provide comprehensive, accurate, reliable and practical operational performance assessment of air traffic control sector, which enable the frontline of air traffic service provider to detect and evaluate operational performance of air traffic control sector in real time, and trigger an alarm when necessary.
The objective of this study is to analyse characteristics of Pedestrian Interactive Behaviours (PIBs) in order to propose a revised pedestrian walkway Level of Service (LOS) in China. Field data on overtaking and evasive behaviours were collected at a metro station walkway in Shanghai, China to calculate macro and micro indicators. Occurrence intensities of these two PIBs initially increased with moderate density and later decreased with high density that reduced available space. PIBs were also analysed in terms of sideways behaviours to account for the varying difficulties of PIBs at different densities. It was found that available space for PIBs was the main factor contributing to the intensity features. Moreover, the different space demands of the two PIBs resulted in different features between them. Finally, a revised pedestrian walkway LOS was proposed based on the macro and micro characteristics of PIBs in China.
This paper presents a two-stage model of optimization as a quick method to choose the best potential links for implementing urban travel demand management (UTDM) strategy like road pricing. The model is optimized by minimizing the hidden cost of congestion based on user equilibrium (MHCCUE). It forecasts the exact amount of flows and tolls for links in user equilibrium condition to determine the hidden cost for each link to optimize the link selection based on the network congestion priority. The results show that not only the amount of total cost is decreased, but also the number of selected links for pricing is reduced as compared with the previous toll minimization methods. Moreover, as this model just uses the traffic assignment data for calculation, it could be considered as a quick and optimum solution for choosing the potential links.
In the absence of a detailed profile and assessment of the road traffic safety situation in the Republic of Macedonia, the paper will show the analysis by calculating and comparing the direct relative indicators for deaths from traffic accidents in relation to the total population (public risk), the total number of vehicles (traffic risk) and the total number of passenger-kilometres (dynamic traffic risk). Their established trends in the period 2005-2014 will also be shown and then compared with the levels in other European countries. Within the risks, there is additionally the risk of suffering that takes into account the consequences of accidents to people (human losses, heavy and light bodily injuries), which will be calculated and analysed for the area covered by the eight Sectors for Internal Affairs (SIA) in the Republic of Macedonia. For this purpose maps of the public risk of suffering from accidents on the roads will be made, which will closely show the traffic safety situation in the country. The diagnosing of the traffic safety situation will contribute to the creation of new measures and activities or improving the existing ones by the competent authorities in order to promote the road traffic safety.
Level crossing (LC) accidents are a significant safety challenge worldwide and for that reason they have been subject of numerous research activities. Joint conclusion is that human behaviour is the main cause of accidents. This study examines how and to which extent certain influential parameters cause accident mechanisms on level crossings. To gain the necessary data we used an on-line survey questionnaire that was sent internationally to key experts in the field of road and railway safety. A total of 185 experts were asked to rank how much certain parameters influence level crossings accident mechanisms and what are the best countermeasures for diminishing accidents at level crossings. To our knowledge, this is the first time that an international survey among key experts was used to gain necessary data about influential parameters regarding level crossings safety. The results of this study could be used by road and railway traffic engineers and policy makers for further enhancement of LC’s safety.
This paper provides a systematic review of published research on lean logistics, green logistics and the combination of both paradigms. Although prior research on all three topics exists, only a few have focused on the field of logistics as such. The present analysis comprises an examination of 98 scientific articles from 35 international journals, published between the years 1994 and 2015. The published
studies are classified by next divisions: journal, paradigm, time distribution, research stream and sector-wise focus.
Although key findings indicate that over the last couple of years research on all three topics has increased, a research gap regarding the studies of lean and green logistics when combined, has been identified. For all three topics the domination in research typology has been extracted. The findings indicate that most papers examined on the topic of lean logistics come from the manufacturing industries, whereas for the topic green logistics and a combination of green and lean topics no specific sector was identified.
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