Autonomous Street Light Simulator21st February 2014
StreetlightSim has been produced as part of Sei Ping Lau's, a member of my research team, PhD research project. The simulator is an open source streetlight simulation environment based on the well-known OMNet++ and SUMO tools. It features a customisable road traffic pattern, described by the road traffic distribution according to different times of day and annual average daily traffic flow (AADF), and can be easily extended to different streetlight networks using OpenStreetMap and JOSM.
The StreetlightSim website
StreetlightSim has been developed specifically to evaluate Autonomous and Adaptive Street Lighting Schemes. We have used it to evaluate the performance of various street lighting schemes based on an actual streetlight network in terms of their energy efficiency and utility to road users. You can find out more about the research by downloading our paper:
Sei Ping Lau, Merrett, G.V., White, N.M., 'Energy-efficient street lighting through embedded adaptive intelligence,' Advanced Logistics and Transport (ICALT), 2013 International Conference on, pp.53-58, 29-31 May 2013.
To find out more, click the link below to visit the StreetlightSim website and download it!
For more information, click here.
Stands at Technology World 200924th November 2009
I have just returned from the Technology World 2009 event, where I manned two stands over the two-day event:
The first stand was part of EPSRC's 'Impact!' display, where we presented research on intelligent sensing and energy harvesting.
The second stand was for the Electronics KTN on the 'No Batteries Included' grand challenge, where we showcased research on energy harvesting electronics, and gave out information on our upcoming Energy Harvesting Network and Holistic Energy Harvesting pr... [more]
Davide's App Featured in BBC Wildlife Magazine29th August 2013
Davide's New Forest Cicada app - available for both Android and iPhone platforms - has been featured in BBC Wildlife Magazine (Summer Edition) as one of the 'three things they love'.
The app uses the microphone of your smartphone to capture the sound in the surrounding environment. This sound is analysed on the phone itself to provide you with immediate feedback on whether the cicada is there or not. In both cases, if you complete a survey (by tapping on the cicada image in the detector page)... [more]