This dissertation investigates the design and analysis of vehicular and pedestrian models. A type of vehicular model is developed both to offer novel contributions to vehicle behavior modeling as well as to use as a tool to learn how to create an even more complex behavioral model of pedestrian movement. First, the current state of modeling is investigated including purely behavioral studies an...

Ad-hoc wireless communication among highly dynamic, mobile nodes in a urban network is a critical capability for a wide range of important applications including automated vehicles, real-time traffic monitoring, and battleground communication. When evaluating application performance through simulation, a realistic mobility model for vehicular ad-hoc networks (VANETs) is critical for accurate re...

Rapid, but unplanned urban development and the consequent urban sprawl coupled with economic growth have aggravated auto dependency in India over the last two decades. This has resulted in congestion and pollution in cities. The central and state governments have taken many ameliorative measures to reduce vehicular emissions. However, evolution of scientific methods for emission inventory is cr...

Present transplant study was carried out across Lucknow, the capital of Utter Pardesh using two medicinally important plants viz., ?Catharanthus roseus L.? and ?Ocimum sanctum L.? to assess whether certain ecophysiological responses (change in total flavonoids and total phenolics) in these two plants may serve as the biomarkers of auto exhaust pollution. Samples were taken from five different s...

Traffic congestion is a major issue in the modern society, and unfortunately, it continues to worsen as the number of cars on the road grows behind the ability of existing road infrastructures to cope. Additionally, vehicle fuel consumption and gas emissions are increasing, and concentrated efforts to propose solutions to reduce these and consequently the pollution are needed. In this context, ...

Congestion, pollution, security, parking, noise, and many other problems derived from vehicular traffic are present every day in most cities around the world. The growing number of traffic lights that control the vehicular flow requires a complex scheduling, and hence, automatic systems are indispensable nowadays for optimally tackling this task. In this work, we propose a Swarm Intelligence ap...

This paper is concerned with the problem of vehicular platoon control in vehicular ad hoc networks subject to capacity limitation and random packet dropouts. By introducing binary sequences as the basis of network access scheduling and modeling random packet dropouts as independent Bernoulli processes, we derive a closedform methodology for vehicular platoon control. In particular, an interesti...

Vehicular air pollution has created an ongoing quality and public health crisis. Despite growing knowledge of racial injustice in exposure levels, less is known about the relationship between production to such pollution. This study assesses burden by testing whether local populations’ vehicular proportional how much they drive. Through a Los Angeles, California, case we examine this relates ra...