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Journal of Modern Transportation is a peer-reviewed journal published by Springer Nature, covering Railway Engineering and Dynamics, Transportation Planning and Optimization, Railway Systems and Energy Efficiency.
| Publisher | Springer Nature |
|---|---|
| Reference style | Numbered (Springer Basic) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C (2023) A representative article title. Journal of Modern Transportation 12:45–58
Formats any DOI in Journal of Modern Transportation style. No sign-up. |
| Publishes research in | Railway Engineering and Dynamics Transportation Planning and Optimization Railway Systems and Energy Efficiency Traffic control and management Traffic and Road Safety |
| ISSN | 2095-087X |
| h-index | 39 |
| i10-index | 164 |
| Total citations | 6,710 |
| Open access | Yes |
| Top institutions publishing here | Southwest Jiaotong University |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
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…
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…
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…
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…
