Examination of the development of the number and use of trucks up to 3.5 tons total weight

Gnap, Jozef; Settey, Tomáš; Baloghová, Lenka

doi:10.1016/j.trpro.2021.06.004

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…The directions of research in recent scientific publications in the field of choosing a vehicle models and fleet structure are the following:  considering the probabilistic components of the transport process [8,10,12,[15][16][17][18][19][20],  considering the complex impact of technical and operational indicators [7,8,12,[21][22][23][24][25][26][27],  optimizing of environmental [9,28,29], economic [7,11,18,22,19,30] and social impacts, as well as a combination of these parameters [13,[31][32][33][34],  determining and optimizing of truck loading schedules [4,8,10,16,35,36],  considering the energy efficiency of freight transportation [21,24,37],  minimizing the size of the vehicles fleet [17,20],  ensuring the tractive effort reserves [32],  considering the trajectory of trucks according to the global positio...…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition to the classic vehicles used in road transportation that are analyzed by most of the mentioned research, the following vehicles were considered as the vehicles under study:  mining dump trucks [7,9,45],  trucks for the transportation of heavy loads [37],  garbage trucks [17],  hybrid, battery, and electric trucks [32],  trucks for concrete deliveries [40],  hydrogen vehicles [29],  trucks with a capacity of up to 3.5 tons [25],  and vehicles equipped with a hybrid diesel or high-pressure gas engine [33].…”

Section: Literature Reviewmentioning

confidence: 99%

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Fuzzy-logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products’ Deliveries in Kazakhstan

Igor¹,

Asem²,

Naumov³

et al. 2022

Preprint

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The estimation of the efficiency of road transport vehicles remains a significant problem for contemporary transport companies, as the technological process is influenced by numerous stochastic impacts, such as demand stochasticity, road conditions uncertainty, transport market fluctuations, etc. To consider the uncertainty related to the estimation of the vehicles’ fleet efficiency, we propose a fuzzy-logic approach, where the efficiency of a given vehicle is described by a membership function. The efficiency of the whole fleet and its rational structure in that case can be evaluated as a fuzzy set. To demonstrate the developed approach, we depict a case study of using cargo vehicles for deliveries of agricultural products in the Republic of Kazakhstan. The numeric results are presented for the selected models of vehicles that a transport company uses to service a set of clients located in Northern Kazakhstan.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy-logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products’ Deliveries in Kazakhstan

Igor¹,

Asem²,

Naumov³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Considering the complex impact of the parameters characterizing the delivery process [8,9,13,[22][23][24][25][26][27][28];…”

mentioning

confidence: 99%

Fuzzy-Logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products Deliveries in Kazakhstan

et al. 2023

View full text Add to dashboard Cite

The estimation of the efficiency of road transport vehicles remains a significant problem for contemporary transport companies, as numerous stochastic impacts, such as demand stochasticity, road conditions uncertainty, transport market fluctuations, etc., influence the technological process. A fuzzy-logic approach is proposed to consider the uncertainty relating to estimating vehicle fleet efficiency. According to the developed approach, vehicle efficiency is described based on a membership function, whereas the efficiency of the whole vehicle fleet is evaluated as a fuzzy set. To demonstrate the developed approach, a case study is depicted for using cargo vehicles to deliver agricultural products in the Republic of Kazakhstan. The numeric results are presented for the selected models of vehicles that a transport company uses to service a set of clients located in Northern Kazakhstan: the transport services provided for each of the clients are characterized by numeric demand parameters—the consignment weight and the delivery distance. The completed calculations allowed us to obtain the membership functions for the alternative vehicle models and to present the transport company’s vehicle fleet as a fuzzy set.

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Examination of the development of the number and use of trucks up to 3.5 tons total weight

Cited by 2 publications

References 8 publications

Fuzzy-logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products’ Deliveries in Kazakhstan

Fuzzy-logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products’ Deliveries in Kazakhstan

Fuzzy-Logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products Deliveries in Kazakhstan

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