Example of International Journal of Vehicle Systems Modelling and Testing format
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Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format
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Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format Example of International Journal of Vehicle Systems Modelling and Testing format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

International Journal of Vehicle Systems Modelling and Testing — Template for authors

Categories Rank Trend in last 3 yrs
Automotive Engineering #62 of 95 down down by 20 ranks
Modeling and Simulation #225 of 290 down down by 46 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 46 Published Papers | 57 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/06/2020
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FAQ

Related Journals

open access Open Access

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Quality:  
Good
CiteRatio: 2.3
SJR: 0.416
SNIP: 1.038
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CiteRatio: 8.9
SJR: 1.347
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Quality:  
High
CiteRatio: 5.9
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Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.2

8% from 2019

CiteRatio for International Journal of Vehicle Systems Modelling and Testing from 2016 - 2020
Year Value
2020 1.2
2019 1.3
2018 1.1
2017 1.1
2016 1.1
graph view Graph view
table view Table view

0.131

59% from 2019

SJR for International Journal of Vehicle Systems Modelling and Testing from 2016 - 2020
Year Value
2020 0.131
2019 0.318
2018 0.174
2017 0.278
2016 0.26
graph view Graph view
table view Table view

0.426

31% from 2019

SNIP for International Journal of Vehicle Systems Modelling and Testing from 2016 - 2020
Year Value
2020 0.426
2019 0.613
2018 0.557
2017 0.704
2016 0.442
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 8% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 59% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 31% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Vehicle Systems Modelling and Testing

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Inderscience Publishers

International Journal of Vehicle Systems Modelling and Testing

IJVSMT provides a resource of information for the scientific and engineering community working with ground vehicles. Emphases are placed on novel computational and testing techniques that are used by automotive engineers and scientists.... Read More

i
Last updated on
12 Jun 2020
i
ISSN
1745-6436
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Impact Factor
Low - 0.467
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
plainnat
i
Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJVSMT.2011.044232
Vehicle fuel consumption and emission modelling: an in-depth literature review
Waleed Fekry Faris1, Hesham A. Rakha1, Raed Kafafy2, Moumen Idres2, Salah A.M. Elmoselhy2

Abstract:

Modelling of vehicle fuel consumption and emissions has emerged as an effective tool to help develop and assess vehicle technologies and to help predict vehicle fuel consumption and emissions. A review to identify the current state-of-the-art on vehicle fuel consumption and emissions modelling is elucidated. This review categ... Modelling of vehicle fuel consumption and emissions has emerged as an effective tool to help develop and assess vehicle technologies and to help predict vehicle fuel consumption and emissions. A review to identify the current state-of-the-art on vehicle fuel consumption and emissions modelling is elucidated. This review categorises vehicle fuel consumption and emissions models into five classifications. The relevant main models to each of these classifications are presented. These models are then compared with regard to assumptions, limitations, merits, drawbacks, characteristic parameters, data collection techniques, accuracy, and relevance to road traffic. The study demonstrates that the trends of vehicle fuel consumption and emissions provided by current models generally do satisfactorily replicate field data trends. In addition, the paper demonstrates that mesoscopic models, empirical models, mean value-based models, and quasi dimensional models strike a balance between accuracy and simplicity and thus are very suitable for transportation and control applications. The study shows as well that no one model as yet fully meets the needs of transportation applications. read more read less

Topics:

Fuel efficiency (55%)55% related to the paper, Empirical modelling (50%)50% related to the paper
61 Citations
open accessOpen access Journal Article DOI: 10.1504/IJVSMT.2008.023835
Model simulation, validation and case study of the 2004 THS of Toyota Prius

Abstract:

For hybrid vehicles, it is difficult to obtain realistic component models and actual interaction between subsystems without carrying out experiments. INRETS has performed a coupled approach associating simulation using its in house VEHLIB software together with experimental validation. This paper highlights the evaluation and... For hybrid vehicles, it is difficult to obtain realistic component models and actual interaction between subsystems without carrying out experiments. INRETS has performed a coupled approach associating simulation using its in house VEHLIB software together with experimental validation. This paper highlights the evaluation and modelling of the Toyota Hybrid Systems (THS) used in the 2004 Prius vehicle. First, the ICE, battery, boost converter, and strategy evaluation and validation process to obtain a useful model of the vehicle are examined. Then examples of application are presented concerning energy flow in the vehicle and engine operation compared to a conventional car. read more read less

Topics:

Hybrid vehicle (63%)63% related to the paper, Boost converter (52%)52% related to the paper, Hybrid system (50%)50% related to the paper
View PDF
56 Citations
Journal Article DOI: 10.1504/IJVSMT.2007.011423
Validation of a Single Unit Truck model for roadside hardware impact
Pradeep Mohan, Dhafer Marzougui, Cing Dao Kan

Abstract:

The objective of this research is to validate the Finite Element (FE) model of a Ford F800 Single Unit Truck (SUT). The FE model of the SUT was developed at the FHWA/NHTSA National Crash Analysis Centre (NCAC) at the George Washington University (GWU). In this study, the characteristics of the SUT model were investigated and ... The objective of this research is to validate the Finite Element (FE) model of a Ford F800 Single Unit Truck (SUT). The FE model of the SUT was developed at the FHWA/NHTSA National Crash Analysis Centre (NCAC) at the George Washington University (GWU). In this study, the characteristics of the SUT model were investigated and several modifications were incorporated in the model to accurately simulate its interaction with roadside safety hardware. A full-scale crash test of the Ford F800 SUT impacting an F-shape Portable Concrete Barrier (PCB) was conducted at The Federal HighWay Administration's (FHWA) Federal Outdoor Impact Laboratory (FOIL) and used in the validation. The response of any vehicle impacting a PCB is primarily governed by the mass and suspension characteristics of the vehicle. Detailed methods for modelling the truck's suspension components are discussed. read more read less

Topics:

Crash test (54%)54% related to the paper
40 Citations
Journal Article DOI: 10.1504/IJVSMT.2005.008573
Comfort analysis of car occupants : comparison between multibody and finite element models
Ettore Pennestrì1, Pier Paolo Valentini1, L Vita1

Abstract:

This paper deals with numerical models developed in order to simulate the vibrational and postural comfort of car occupants. The proposed models have been based on different mathematical approaches: the first is a multibody dynamics model and the second is a finite elements model. Both models have been validated by means of s... This paper deals with numerical models developed in order to simulate the vibrational and postural comfort of car occupants. The proposed models have been based on different mathematical approaches: the first is a multibody dynamics model and the second is a finite elements model. Both models have been validated by means of static and dynamic experimental tests on vehicles using appropriate test rigs. The authors focus on the advantages and disadvantages of each model in order to have useful information about which approach has to be used to predict objectively the comfort of driver and passengers. read more read less

Topics:

Multibody system (54%)54% related to the paper, Poison control (50%)50% related to the paper
37 Citations
Journal Article DOI: 10.1504/IJVSMT.2005.008574
Dynamic analysis of a railway vehicle in real operation conditions using a new wheel-rail contact detection model
Joao Pombo, Jorge Ambrósio1

Abstract:

A methodology to create 3D track models, including irregularities, is developed. A new method using wheel and rail surfaces parameterisations is applied to identify multiple contact points. This method allows lead and lag flange contact, required to study derailment and switches. The formulation can be used for any kind of wh... A methodology to create 3D track models, including irregularities, is developed. A new method using wheel and rail surfaces parameterisations is applied to identify multiple contact points. This method allows lead and lag flange contact, required to study derailment and switches. The formulation can be used for any kind of wheel or rail profile and still be computationally efficient, without requiring lookup tables. The method is applied to study the ML95 vehicle in a straight track with experimentally measured track irregularities. The accuracy of this procedure is demonstrated with respect to selected results obtained by experimental testing and by ADAMS/Rail. read more read less

Topics:

Derailment (63%)63% related to the paper, Rail profile (61%)61% related to the paper, Track (rail transport) (61%)61% related to the paper, Flange (52%)52% related to the paper
31 Citations
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12. Is International Journal of Vehicle Systems Modelling and Testing's impact factor high enough that I should try publishing my article there?

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13. What is Sherpa RoMEO Archiving Policy for International Journal of Vehicle Systems Modelling and Testing?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Vehicle Systems Modelling and Testing. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Vehicle Systems Modelling and Testing?

The 5 most common citation types in order of usage for International Journal of Vehicle Systems Modelling and Testing are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Vehicle Systems Modelling and Testing Endnote style according to Elsevier guidelines.

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