Evacuation Plans and Simulations for Crowd Egress – A Review

Due to growing population density and increasing complexity and congestion of human habitat evacuation planning is essential to avoid major loss of life during a natural or un-natural disaster. The paper provides a review of existing evacuation systems and strategies and also points out the possible research directions. Intelligent Evacuation Management System coupled with evolutionary and machine learning techniques such as PSO,ACO , k-mean clustering is a promising solution to ensure safe and jostle free egress of people.

Design of Resonant Converter Topologies in Electric Vehicles

The world climate and environment are facing serious threats due to the carbon emission caused by diesel-based vehicles. The increased use of fossil fuels in diesel based vehicles is one of the main reasons for global warming and climate change issues. A recent report suggests that transportation is responsible for contributing 24% of global carbon emissions. Another study by the European Union mentions that carbon dioxide (CO2) emissions by the transport sector are approximately 27%, while 70% of emissions are directly emitted by vehicle transport. To address these concerns, electric vehicles (EVs) have received massive attention around the world due to their zero carbon emissions, low noise, light weight, improved performance and efficiency