Article citationsMore>>
Alimenti, F., Placentino, F., Battistini, A., Tasselli, G., Bernardini, W., Mezzanotte, P., Rascio, D., Palazzari, V., Leone, S., Scarponi, A., Porzi, N., Comez, M. and Roselli, L. (2007) A Low-Cost 24GHz Doppler Radar Sensor for Traffic Monitoring Implemented in Standard Discrete-Component Technology. 2007 European Microwave Conference, Munich, 9-12 October 2007, 1441-1444.
https://doi.org/10.1109/EUMC.2007.4405476
has been cited by the following article:
-
TITLE:
Truck and Passenger Car Connected Vehicle Penetration on Indiana Roadways
AUTHORS:
Rahul Suryakant Sakhare, Margaret Hunter, Justin Mukai, Howell Li, Darcy Michael Bullock
KEYWORDS:
Connected Vehicle Data, Trucks, Penetration, Big Data
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.12 No.4,
August
31,
2022
ABSTRACT: Commercially
available connected vehicle (CV) probe data has been demonstrated to provide
scalable and near-real-time methodologies to evaluate the performance of road
networks for various applications. However, one of the major concerns of probe
data for agencies is data sampling, particularly during low-volume overnight hours. This paper reports on an evaluation that looked at both connected passenger cars and
connected trucks. This study analyzed 40 continuous count stations in
Indiana that recorded more than 10.8 million vehicles and more than 13 million
trips (3 billion records) from CV data over a
1-week period from May 9th to 15th in 2022. The average
truck penetration was observed to be 3.4% during overnight hours from 1 AM to 5
AM when the connected passenger car penetration was at the lowest. When both connected trucks and connected
car penetration were analyzed,
the overall CV penetration was 6.32% on interstates and 5.30% on non-interstate
roadways. The paper concludes by recommending that both connected car and
connected truck data be used by agencies to increase penetration and reduce the
hourly variation in CV penetration. This is particularly important during
overnight hours.