Example of Journal of Modern Transportation format
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Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format
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Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format Example of Journal of Modern Transportation format
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open access Open Access ISSN: 2095087X e-ISSN: 21960577

Journal of Modern Transportation — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Mechanical Engineering #148 of 596 up up by 124 ranks
Computer Science Applications #209 of 693 up up by 120 ranks
Electrical and Electronic Engineering #211 of 693 up up by 124 ranks
Transportation #38 of 113 up up by 14 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 75 Published Papers | 318 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/07/2020
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FAQ

Journal Performance & Insights

  • CiteRatio
  • SJR
  • SNIP

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

4.2

24% from 2019

CiteRatio for Journal of Modern Transportation from 2016 - 2020
Year Value
2020 4.2
2019 3.4
2018 2.3
2017 1.6
2016 1.6
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 24% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

0.443

5% from 2019

SJR for Journal of Modern Transportation from 2016 - 2020
Year Value
2020 0.443
2019 0.468
2018 0.305
2017 0.354
2016 0.314
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 5% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.768

22% from 2019

SNIP for Journal of Modern Transportation from 2016 - 2020
Year Value
2020 1.768
2019 1.445
2018 1.316
2017 0.956
2016 1.094
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has increased by 22% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Related Journals

open access Open Access ISSN: 9574158
recommended Recommended

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CiteRatio: 7.3 | SJR: 0.94 | SNIP: 1.844
open access Open Access ISSN: 21622248 e-ISSN: 21622256

IEEE

CiteRatio: 6.4 | SJR: 0.786 | SNIP: 2.027
open access Open Access ISSN: 0951192X e-ISSN: 13623052

Taylor and Francis

CiteRatio: 6.4 | SJR: 0.884 | SNIP: 1.244
open access Open Access ISSN: 21682194 e-ISSN: 21682208
recommended Recommended

IEEE

CiteRatio: 10.2 | SJR: 1.293 | SNIP: 2.448

Journal of Modern Transportation

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Springer

Journal of Modern Transportation

Approved by publishing and review experts on SciSpace, this template is built as per for Journal of Modern Transportation formatting guidelines as mentioned in Springer author instructions. The current version was created on and has been used by 214 authors to write and format their manuscripts to this journal.

Regional/Spatial Science

i
Last updated on
15 Jul 2020
i
ISSN
1606-8610
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
White faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1007/S40534-016-0117-3
Autonomous vehicles: challenges, opportunities, and future implications for transportation policies
Saeed Asadi Bagloee1, Madjid Tavana2, Madjid Tavana3, Mohsen Asadi4, Tracey Oliver

Abstract:

This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease the transportation cost and increase accessibility to low-income households and persons with mobility issues. This emerging te... This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease the transportation cost and increase accessibility to low-income households and persons with mobility issues. This emerging technology also has far-reaching applications and implications beyond all current expectations. This paper provides a comprehensive review of the relevant literature and explores a broad spectrum of issues from safety to machine ethics. An indispensable part of a prospective AV development is communication over cars and infrastructure (connected vehicles). A major knowledge gap exists in AV technology with respect to routing behaviors. Connected-vehicle technology provides a great opportunity to implement an efficient and intelligent routing system. To this end, we propose a conceptual navigation model based on a fleet of AVs that are centrally dispatched over a network seeking system optimization. This study contributes to the literature on two fronts: (i) it attempts to shed light on future opportunities as well as possible hurdles associated with AV technology; and (ii) it conceptualizes a navigation model for the AV which leads to highly efficient traffic circulations. read more read less

Topics:

Emerging technologies (52%)52% related to the paper, Intelligent transportation system (52%)52% related to the paper
View PDF
272 Citations
open accessOpen access Journal Article DOI: 10.1007/BF03325760
Connect & Drive: design and evaluation of cooperative adaptive cruise control for congestion reduction
Jeroen Ploeg, A.F.A. Serrarens, Geert Heijenk

Abstract:

Road throughput can be increased by driving at small inter-vehicle time gaps. The amplification of velocity disturbances in upstream direction, however, poses limitations to the minimum feasible time gap. This effect is covered by the notion of string stability. String-stable behavior is thus considered an essential requireme... Road throughput can be increased by driving at small inter-vehicle time gaps. The amplification of velocity disturbances in upstream direction, however, poses limitations to the minimum feasible time gap. This effect is covered by the notion of string stability. String-stable behavior is thus considered an essential requirement for the design of automatic distance control systems, which are needed to allow for safe driving at time gaps well below 1 s. Using wireless inter-vehicle communications to provide real-time information of the preceding vehicle, in addition to the information obtained by common Adaptive Cruise Control (ACC) sensors, appears to significantly decrease the feasible time gap, which is shown by practical experiments with a test fleet consisting of six passenger vehicles. The large-scale deployment of this system, known as Cooperative ACC (CACC), however, poses challenges with respect to the reliability of the wireless communication system. A solution for this scalability problem can be found in decreasing the transmission power and/or beaconing rate, or adapting the communications protocol. Although the main CACC objective is to increase road throughput, the first commercial application of CACC is foreseen to be in truck platooning, since short distance following is expected to yield significant fuel savings in this case. read more read less

Topics:

Cooperative Adaptive Cruise Control (66%)66% related to the paper, Cruise control (52%)52% related to the paper, Throughput (business) (51%)51% related to the paper
View PDF
103 Citations
open accessOpen access Journal Article DOI: 10.1007/S40534-016-0095-5
A data mining approach to characterize road accident locations
Sachin Kumar1, Durga Toshniwal1

Abstract:

Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that affect the severity of an accident. However, any damage resulting from road accidents is always unacceptable in ... Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that affect the severity of an accident. However, any damage resulting from road accidents is always unacceptable in terms of health, property damage and other economic factors. Sometimes, it is found that road accident occurrences are more frequent at certain specific locations. The analysis of these locations can help in identifying certain road accident features that make a road accident to occur frequently in these locations. Association rule mining is one of the popular data mining techniques that identify the correlation in various attributes of road accident. In this paper, we first applied k-means algorithm to group the accident locations into three categories, high-frequency, moderate-frequency and low-frequency accident locations. k-means algorithm takes accident frequency count as a parameter to cluster the locations. Then we used association rule mining to characterize these locations. The rules revealed different factors associated with road accidents at different locations with varying accident frequencies. The association rules for high-frequency accident location disclosed that intersections on highways are more dangerous for every type of accidents. High-frequency accident locations mostly involved two-wheeler accidents at hilly regions. In moderate-frequency accident locations, colonies near local roads and intersection on highway roads are found dangerous for pedestrian hit accidents. Low-frequency accident locations are scattered throughout the district and the most of the accidents at these locations were not critical. Although the data set was limited to some selected attributes, our approach extracted some useful hidden information from the data which can be utilized to take some preventive efforts in these locations. read more read less

Topics:

Accident analysis (62%)62% related to the paper
View PDF
97 Citations
open accessOpen access Journal Article DOI: 10.1007/S40534-019-0184-3
A comprehensive review on hybrid electric vehicles: architectures and components
Krishna Veer Singh1, Hari Om Bansal1, Dheerendra Singh1

Abstract:

The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuel-efficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed t... The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuel-efficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed to the planet earth. Not only do HEVs provide better fuel economy and lower emissions satisfying environmental legislations, but also they dampen the effect of rising fuel prices on consumers. HEVs combine the drive powers of an internal combustion engine and an electrical machine. The main components of HEVs are energy storage system, motor, bidirectional converter and maximum power point trackers (MPPT, in case of solar-powered HEVs). The performance of HEVs greatly depends on these components and its architecture. This paper presents an extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors’ role and their suitability for a particular application. Inclusion of photovoltaic cell in HEVs is a fairly new concept and has been discussed in detail. Various MPPT techniques used for solar-driven HEVs are also discussed in this paper with their suitability. read more read less

Topics:

Traction motor (50%)50% related to the paper
View PDF
91 Citations
open accessOpen access Journal Article DOI: 10.1007/S40534-015-0068-0
Identification of crash hotspots using kernel density estimation and kriging methods: a comparison
Lalita Thakali1, Tae J. Kwon1, Liping Fu2, Liping Fu1

Abstract:

This paper presents a study aimed at comparing the outcome of two geostatistical-based approaches, namely kernel density estimation (KDE) and kriging, for identifying crash hotspots in a road network. Aiming at locating high-risk locations for potential intervention, hotspot identification is an integral component of any comp... This paper presents a study aimed at comparing the outcome of two geostatistical-based approaches, namely kernel density estimation (KDE) and kriging, for identifying crash hotspots in a road network. Aiming at locating high-risk locations for potential intervention, hotspot identification is an integral component of any comprehensive road safety management programs. A case study was conducted with historical crash data collected between 2003 and 2007 in the Hennepin County of Minnesota, U.S. The two methods were evaluated on the basis of a prediction accuracy index (PAI) and a comparison in hotspot ranking. It was found that, based on the PAI measure, the kriging method outperformed the KDE method in its ability to detect hotspots, for all four tested groups of crash data with different times of day. Furthermore, the lists of hotspots identified by the two methods were found to be moderately different, indicating the importance of selecting the right geostatistical method for hotspot identification. Notwithstanding the fact that the comparison study presented herein is limited to one case study, the findings have shown the promising perspective of the kriging technique for road safety analysis. read more read less

Topics:

Kriging (53%)53% related to the paper, Kernel density estimation (50%)50% related to the paper
View PDF
85 Citations
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Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the Journal of Modern Transportation guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the Journal of Modern Transportation citation style.

You can avail our Free Trial for 7 days. I'm sure you'll find our features very helpful. Plus, it's quite inexpensive.

Yup. You can choose the right template, copy-paste the contents from the word doc and click on auto-format. You'll have a publish-ready paper that you can download at the end.

A matter of seconds. Besides that, our intuitive editor saves a load of your time in writing and formating your manuscript.

One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per Journal of Modern Transportation's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

Sure. You can request any template and we'll have it up and running within a matter of 3 working days. You can find the request box in the Journal Gallery on the right sidebar under the heading, "Couldn't find the format you were looking for?".

After you have written and autoformatted your paper, you can download it in multiple formats, viz., PDF, Docx and LaTeX.

To be honest, the answer is NO. The impact factor is one of the many elements that determine the quality of a journal. Few of those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo 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.

The 5 most common citation types in order of usage 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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After uploading your paper on SciSpace, you would see a button to request a journal submission service for Journal of Modern Transportation.

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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.

SciSpace would allow download of your references in Journal of Modern Transportation Endnote style, according to springer guidelines.

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