While the current study did not assess health outcomes, it provides valuable information on noise levels at locations across NYC, and suggests that efforts to reduce street (vehicular) noise levels in NYC are warranted to protect the public's health.
In this paper we question whether these optimistic solutions can be developed and widely deployed in the limited time frame available, and argue instead that not only are ever-rising vehicular mobility levels unlikely to occur, but that the human costs of continuing this approach are also too great.
Placement costs between twenty-five hundred and twenty-five thousand dollars a month, depending on expected vehicular-traffic levels, compared with, say, a full-page ad in Variety, which costs seventy thousand dollars and reaches a circulation in the mid ten thousands.
Mainly associated with vehicular traffic, street level noise is hard to ignore and hard to escape.
Security level: In vehicular ad hoc networks, the accuracy of a message requires authentication of the sender.
In a vehicular crash, a higher level of energy absorption in the frontal structures of the vehicle leads to less transferred energy to the passengers and less possibility for injury.
We propose a time-dependent pricing scheme where the tolls are iteratively adjusted through a Proportional–Integral type feedback controller, based on the level of vehicular traffic congestion and traveler's behavioral adaptation to the cost of pricing.
Therefore, results obtained can give a contribution in the development of more feasible air pollution models in urban areas at local scale, and useful information for design of building facades that minimize the entrapping of vehicular pollutants at pedestrian level in street canyons.
By varying all the parameters available we found that certain velocities, transmission ranges, and vehicular load had different levels of effectiveness to the overall congestion in the system.
This study attempts to explain explicitly the direct and quantitative effects of complicated urban built-environment on near-road dispersion and levels of vehicular emissions at the scale of several city blocks, based on ultrafine particle concentrations ([UFP]).
