PhD students' day — CITI lab


Autonomous Wireless Sensor Networks for Intersection Monitoring

by Rodrigue Domga Komguem

Download poster
Picture of Rodrigue Domga Komguem

Details

UrbaNet team
1st year

Keywords

Linear/Grid Networks
Self-Organization
Energy Harvesting
Intelligent Transportation Systems

Advisors

Razvan Stanica
Maurice Tchuente
Fabrice Valois

Partner

AUF, Université de Yaoundé I, INRIA/LIRIMA-IDASCO/UMMISCO


The concept of Intelligent Transportation Systems (ITS) refers to the introduction of intelligence in the transport sector by using information and communication technologies, in order to deliver more innovative services both in terms of user safety and economics. Traffic lights management is one of the services that can be improved by ITS.This application takes as input a measure of the queue length of vehicles on each lane, and produces as output a light plan with the objective to minimize the vehicles's waiting time at the intersection. The performance of this application depends on the precision of the estimated vehicle queue length.

Our work focuses on using a WSN for intersection monitoring, i.e to collect vehicle traffic information and provide data (vehicle queue length) to the traffic light controller. In this paper, building on experimental results, we propose a WSN architecture to measure vehicle queue length with better granularity at an intersection. Concerning the proposed architecture, we then explore important challenges such as self-organization, traffic model, routing and energy harvesting.


Acknowledgements

CITI lab

INSA Lyon

Inria

HiKoB

INSA Valor

Rhône Alpes region