Intelligent Transport Systems for Road Freight Transport—An Overview

Bäumler, Ilja; Kotzab, Herbert

doi:10.1007/978-3-319-45117-6_25

Cited by 7 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors are aware of the fact that the operational efficiency of RTEs is affected by a number of factors (including those of an external nature that are independent of the RTEs themselves) [16,17]. However, during research, it was proved that understanding operational efficiency as a combination of managerial efficiency and technical efficiency (including the application of IT technologies to support the management of RTEs) and the purposeful selection of the most universal rates (in the opinion of managerial staff)-which comprise nine elements of the matrix-can adequately document the relationships between the selected components of the matrix, the integrated level of implementation of managerial telematics systems, and the increase of effectiveness in RTEs.…”

Section: Conclusion and Recapitulationmentioning

confidence: 99%

“…A remedy to the above-mentioned problems may be found in the application of managerial information technology (IT) systems [7] (more broadly understood as telematics systems) [10,11], the functionalities of which are dedicated to the current handling of transport processes (including vehicle mileage record systems, users, contractor costs, generated costs, and energy/fuel consumption) [12]. Through the use of IT systems, there is also a possibility to optimise transport routes [13][14][15] and to utilise work factors (such as vehicle fleet [16] load capacity and drivers' working time) [17], especially in cases where there are no regular routes due to constant changes with customer orders [18,19].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Efficiency of Telematics Systems in Management of Operational Activities in Road Transport Enterprises

et al. 2020

View full text Add to dashboard Cite

Implemented in road transport enterprises (RTEs) on a large scale, telematics systems are dedicated both to the particular aspects of their operation and to the integrated fields of the total operational functioning of such entities. Hence, a research problem can be defined as the identification of their efficiency levels in the context of operational activities undertaken by RTEs (including more holistic effects, e.g., lowering fuel/energy consumption and negative environmental impacts). Current research studies refer to the efficiency of some particular modules, but there have not been any publications focused on describing the efficiency of telematics systems in a more integrated (holistic) way, due to the lack of a universal tool that could be applied to provide this type of measurement. In this paper, an attempt at filling the identified cognitive gap is presented through empirical research analysing the original matrix developed by the authors that refers to the efficiency rates of organisational activities undertaken by RTEs. The purpose of this paper is to present a tool that has been designed to provide a holistic evaluation of efficiency of telematics systems in RTE operational management. The results are presented in a form of an individual (ontogenetic) matrix of the analysed companies, for which a determinant was calculated with the use of Sarrus’ rule. Obtained in such a way, the set of values identified for the determinants of the subsequent ontogenetic matrices came as an arithmetic progression that characterised the scope and the level of the influence exerted by the implemented IT (information technology) systems on the organisational efficiency of operational activities undertaken by the analysed RTEs. We present a hypothesis stating that the originally developed matrix can be viewed as a reliable tool used for comparative analysis in the field of efficiency of telematics systems in RTEs, and this hypothesis was positively verified during the research. The obtained results prove the significant potential for the wide application of the discussed matrix, which can be used as a universal tool for the analysis and comparison of efficiency indicated by the integrated IT systems in the operational activities undertaken by RTEs.

show abstract

Section: Conclusion and Recapitulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficiency of Telematics Systems in Management of Operational Activities in Road Transport Enterprises

et al. 2020

View full text Add to dashboard Cite

show abstract

“…8) and, subsequently, on a gapped 3 week training window (14 th of August to 3 rd of September in Fig. 8, with samples between 24 th of August to 28 th of August missing) 11 . All models were tested on the same 2 week window (samples between 18 th of September to 1 st of October in Fig.…”

Section: Claim 1: Our Approach Features High Tolerance To Sensor Faultsmentioning

confidence: 99%

“…3 These European Commission statistics provide strong evidence in support of the fact that industrialisation and overpopulation have pushed urban infrastructures to and beyond capacity [1], stemming severe problems around traffic safety, road maintenance and development costs as well as air and noise pollution, to name only a few. The smart cities vision [2,3,4,5,6,7] offers a potential solution to all these issues, in the form of Intelligent Transport Systems (ITS) [8,9,10,11,12,13]. These typically span over a number of connected junctions, are predicated on automated traffic control and entail three stages:…”

Section: Introductionmentioning

confidence: 99%

Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data

Patelli,

Lush,

Ekart

et al. 2020

Preprint

View full text Add to dashboard Cite

The continuous expansion of the urban traffic sensing infrastructure has led to a surge in the volume of widely available road related data. Consequently, increasing effort is being dedicated to the creation of intelligent transportation systems, where decisions on issues ranging from city-wide road maintenance planning to improving the commuting experience are informed by computational models of urban traffic instead of being left entirely to humans. The automation of traffic management has received substantial attention from the research community, however, most approaches target highways, produce predictions valid for a limited time window or require expensive retraining of available models in order to accurately forecast traffic at a new location. In this article, we propose a novel and accurate traffic flow prediction method based on symbolic regression enhanced with a lag operator. Our approach produces robust models suitable for the intricacies of urban roads, much more difficult to predict than highways. Additionally, there is no need to retrain the model for a period of up to 9 weeks. Furthermore, the proposed method generates models that are transferable to other segments of the road network, similar to, yet geographically distinct from the ones they were initially trained on. We demonstrate the achievement of these claims by conducting extensive experiments on data collected from the Darmstadt urban infrastructure.

show abstract

“…Intelligent transport systems are considered to assist in solving current and future transport problems. They are widely recognized as one of the effective tools for ensuring efficient, safe, and sustainable mobility [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

The Design and Evaluation of a Telematic Automated System of Weight Control for Heavy Vehicles

Belikova

Safiullin

2022

Infrastructures

View full text Add to dashboard Cite

In this article, the authors reviewed the existing system of weight control of heavy vehicles in the Russian Federation. In this research, the main shortcomings of the system, which prevent its effective functioning in relation to the use of road infrastructure, were determined. To solve these problems, we developed a model of the functionality of a telematic automated system of weight control of heavy vehicles, as well as defining the optimization tasks of the transportation process. Mathematical modeling of the operational factors that influence the system of weight control of heavy vehicles on roads was carried out. As a result of the research, the most significant parameters that have the greatest impact on the efficiency of the road were determined. By means of these parameters, it is feasible to choose suitable hardware and equipment for a weight control system. The methodology of developing automatic points for the weight control of heavy loads during road transportation was formulated. As a result of the study, it was concluded that the introduction of a telematic automated system of weight control of heavy vehicles would increase the efficiency of road transport on the highway by positively affecting its basic transport and performance indicators.

show abstract

Intelligent Transport Systems for Road Freight Transport—An Overview

Cited by 7 publications

References 7 publications

Efficiency of Telematics Systems in Management of Operational Activities in Road Transport Enterprises

Efficiency of Telematics Systems in Management of Operational Activities in Road Transport Enterprises

Traffic Modelling and Prediction via Symbolic Regression on Road Sensor Data

The Design and Evaluation of a Telematic Automated System of Weight Control for Heavy Vehicles

Contact Info

Product

Resources

About