Modelling Urban Route Transport Network Parameters with Traffic, Demand and Infrastructural Limitations Being Considered

Kazhaev, A.; Almetova, Zlata; Shepelev, Vladimir; Shubenkova, Ksenia

doi:10.1088/1755-1315/177/1/012018

Cited by 38 publications

(8 citation statements)

References 18 publications

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“…Using an information system for the sustainable management of transport enterprises of the city will allow an increase in productivity and quality of works performed, strengthen control over activities of staff, as well as the use of rolling stock [15]. Due to a single transport model of the city, as scientists claim, it is possible to eliminate the differences between the desired and actual results, as the lack of a quantitative description of transport situations significantly complicates the choice between options for the urban transport system [8,22].…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Decision Support System for Modeling Transport and Passenger Flows in Human-Centric Urban Transport Systems

et al. 2022

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Engineering human-centric urban transport systems should be carried out using information technology in forecasting traffic and passenger flows. One of the most important objects of urban transport systems’ progress is modeling patterns of transport flows and their distribution on the road network. These patterns are determined by the subjective choice of city residents of traffic routes using public and private transport. This study aimed to form a sequence of stages of modeling transport and passenger flows in human-centric urban transport systems and passenger flows in the human-centric urban intelligent transport systems and to determine the patterns of change to the gravity function of employees of municipal services. It was revealed that the trip distribution function of workers of urban service enterprises can be described by the attributes of the structure of the city, socio-economic data, and attributes characterizing the zones and its residents.

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent Decision Support System for Modeling Transport and Passenger Flows in Human-Centric Urban Transport Systems

et al. 2022

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“…Yi et al claimed Deep Neural Network could estimate traffic congestion [27]. By using three hidden layers (40,50, and 40 neurons), the tanh activation function, and AdaGrad optimization algorithm, the system achieved 99% accuracy in predicting congestion. On the other hand, Lv et al, stated that Deep Learning can understand the traffic feature without prior knowledge.…”

Section: Prediction Of Traffic Conditionmentioning

confidence: 99%

“…By using collective intelligence, they tried to calculate top k-routes for the taxi drivers. Meanwhile, Kazhaev et al [50], tried to determine the best route by reducing the conflict situation at public transportation stop-point. The conflict situation refers to competition among drivers who feel prioritized.…”

Section: Attributes Of Road Situationmentioning

confidence: 99%

Contextual Route Recommendation System in Heterogeneous Traffic Flow

et al. 2021

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The traffic composition in developing countries comprises of variety of vehicles which include cars, buses, trucks, and motorcycles. Motorcycles dominate the road with 77.5% compared to other types. Meanwhile, route recommendation such as navigation and Advanced Driver Assistance Systems (ADAS) is limited to particular vehicles only. In this research, we propose a framework for a contextual route recommendation system that is compatible with traffic conditions and vehicle type, along with other relevant attributes (traffic prediction, weather, temperature, humidity, heterogeneity, current speed, and road length). The framework consists of two phases. First, it predicts the traffic conditions by using Knowledge-Growing Bayes Classifier on which the dataset is obtained from crawling the public CCTV feeds and TomTom digital map application for each observed road. The performances of the traffic prediction are around 60.78–73.69%, 63.64–77.39%, and 60.78–73.69%, for accuracy, precision, and recall respectively. Second, to accommodate the route recommendation, we simulate and utilize a new measure, called road capacity value, along with the Dijkstra algorithm. By adopting the compatibility, the simulation results could show alternative paths with the lowest RCV (road capacity value).

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“…When we assume that the work of the transport is auxiliary and is aimed at ensuring the work of other participants in the logistics system, then we can draw the following conclusion: the assessment of the work of transport should be based on the values of indicators located in the zone of «logistic expediency». The term «logistic expediency» is proposed to mean the values of transport performance indicators, which are in the range from the minimum to the maximum possible values (meaning the physical capability of the indicator), as well as between the minimum and maximum values of the efficiency of the logistics system (KAZHAEV, et. al., 2018).…”

Section: Independent Journal Of Management and Production (Ijmandp)mentioning

confidence: 99%

The rational scope of using direct and multilevel logistics channels for material flow distribution (case study in Ukraine)

Kush

Tonkoshkur

Vakulenko

et al. 2020

Ind. Jour. Manag. & Prod.

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Constant raising the requirements for logistics service of end-consumer expand sales markets and economic relationships that are formed under conditions of uncertainty and instability of the environment, leading to the need to consider not only the logistics system of internal factors but also external. This issue is especially important for Commonwealth of Independent States that rebuilt to a market economy. Nowadays, the grocery logistics network distribution system that would fit for end-consumer and logistics systems owner simultaneously have not fully developed. On the one hand, consumers are looking for minimal cost, which can be provided by direct logistic channels, but minimal cost do not give flexibility in quantity and volumes or other services. On the other hand, the multilevel system provides high level of service and diversity in channel, but products are more expensive in it. Finding the balance between rational price and level of service for end-consumer and logistics system profits in period is been up-today issue in consumer-oriented logistics. The development of mechanisms makes it possible to assess the scale of the rational use of direct and multi-level logistics for the distribution of material flows, which was demonstrated with the numbering of participants in the logistics system in the current situation (external and internal factors). The paper considers the functioning of the system for delivering goods on a direct and multilevel distribution channel. An integrated approach to evaluate the efficiency of the functioning of the logistics system and the consumer had been used.

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Modelling Urban Route Transport Network Parameters with Traffic, Demand and Infrastructural Limitations Being Considered

Cited by 38 publications

References 18 publications

Intelligent Decision Support System for Modeling Transport and Passenger Flows in Human-Centric Urban Transport Systems

Intelligent Decision Support System for Modeling Transport and Passenger Flows in Human-Centric Urban Transport Systems

Contextual Route Recommendation System in Heterogeneous Traffic Flow

The rational scope of using direct and multilevel logistics channels for material flow distribution (case study in Ukraine)

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