Paper Status Tracking
Contact us
[email protected]
Click here to send a message to me 3275638434
Paper Publishing WeChat

Article
Affiliation(s)

1. Dept. of Automotive Engineering and Transportation, Technical University of Cluj-Napoca, Cluj-Napoca 400114, Romania 2. Eng., CEREBERUS SRL Company, Cluj-Napoca 40011, Romania 3. Dept. of Automotive Engineering and Transportation, Technical University of Cluj-Napoca, Cluj-Napoca 400114, Romania

ABSTRACT

The authors present the work carried out for design a complete hard and soft solution for develop an electronic device able to assist the operator and count the vehicles in different traffic conditions: urban and extra urban cross lines, national roads and highroad. The important characteristics of the device are: possibility to identify 8 vehicle category, the displacement direction and the count time. The soft interface offers for the operator a lot of facilities as: large scale of data processing in Excel format, possibility to store the data in a common database. This device was used in the last year in different conditions in order to test its reliability.

KEYWORDS

data collection, traffic, road, flow, vehicle category

Cite this paper

Nicolae FILIP, Mircea CHIRICIUC and George Horea CRIȘAN. (2026). The Design of an Electronic Device for Vehicle Count in Various Traffic Conditions, Journal of Traffic and Transportation Engineering 14 (2026) 67-72

References

[1]       Abbess, M. and Sands, M. 1997. Automobile Traffic Signal Control Systems. Chikton Book Company.

[2]       Aldrin, Magne. 1998. Traffic volume estimation from short period traffic counts.”

[3]       Traffic Engineering and Control: 656-660.

[4]       Chakravarty, S., Stavrou, A. and Keromytis, A.D. 2010. “Traffic Analysis against

[5]       Low-Latency Anonymity Networks Using Available Bandwidth Estimation.”

[6]       Computer Security – ESORICS 2010: 249-267. doi: 10.1007/978-3-642-15497-3_16.

[7]       Enrique Castillo, Maria Nogal, Ana Rivas and Santos Sánchez-Cambronero. 2013.

[8]       “Observability of traffic networks. Optimal location of counting and scanning devices.” Transportmetrica B: Transport Dynamics 1(1): 68-102. doi: http://dx.doi.org/10.1080/21680566.2013.780987.

[9]       Filip, N. 2010. Ingineria Traficului Rutier [Road Traffic Engineering]. Cluj-Napoca: Ed. Mediamira.

[10]    Filip, N. and Cristea. F. 2009. Research concerning the vehicles classification and identification with laser sensor.” EAEC European Automotive Congress: E–12–003.

[11]    Slinn, M., Matthews, P. and Guest, P. 2005.Traffic Engineering Design: Elsevier. Gritzalis D., Preneel B. and Theoharidou M. 2010. Computer Security ESORICS

[12]    2010: Lecture Notes in Computer Science, vol 6345. Berlin, Heidelberg: Springer. doi: 10.1007/978-3-642-15497-3.

[13]    Hossam, Abdelgawad, Tamer Abdulazim, Baher Abdulhai, Alireza Hadayeghi and William Harrett. 2015. “Data imputation and nested seasonality time series modelling for permanent data collection stations: methodology and application to Ontario.” Canadian Journal of Civil Engineering 42(5): 287-302. doi: 10.1139/cjce-2014-0087.

[14]    Palubinskas, G., Kurz, F. and Reinartz, P. 2012. “Traffic Congestion Parameter

[15]    Estimation in Time Series of Airborne Optical Remote Sensing Images.”

[16]    International Society of Photogrammetry and Remote Sensing: XXXVIII proceedings.

[17]    Worsley, Tom. 2007. Managing Urban Traffic Congestion. United Kingdom: ECMT.

About | Terms & Conditions | Issue | Privacy | Contact us
Copyright © 2001 - David Publishing Company All rights reserved, www.davidpublisher.com
3 Germay Dr., Unit 4 #4651, Wilmington DE 19804; Tel: 001-302-3943358 Email: [email protected]