TY  - CONF
PB  - IEEE Computer Society
N2  - In this progressive world traffic congestion is a critical issue. It results in huge amount of time and resources loss. Vehicles in congestion is a valuable parameter for drivers to anticipate the state of congestion. The proposed approach is based on relating the relationship of different transmission ranges with vehicle density. This research work uses a GrooveNet simulator, which is based on real street maps and plays a major role in discovering and disseminating congestion information. Our simulation results are based on average values of number of vehicles caught in congestion with respect to transmission range and vehicle density. © 2014 IEEE.
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335942&doi=10.1109%2fICIAS.2014.6869475&partnerID=40&md5=50cd635ad9fbe3698bac959a59469264
CY  - Kuala Lumpur
A1  - Anjum, N.
A1  - Badruddin, N.
A1  - Drieberg, M.
Y1  - 2014///
SN  - 9781479946549
TI  - Simulation of traffic congestion detection using VANETs
ID  - scholars4966
N1  - cited By 1; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
KW  - Telecommunication networks; Vehicle transmissions; Vehicles; Vehicular ad hoc networks
KW  -  Average values; Critical issues; Number of vehicles; Street maps; Traffic congestion detections; Transmission ranges; Vehicle density
KW  -  Traffic congestion
ER  -