A recommendation of the use of mobile crowdsensing to the address the issue of traffic congestion in

There are a wide variety of applications of information technology that are just beginning to be implemented that could be far more significant in our struggle to defeat traffic congestion than the building of new highways and transit routes or more government regulation. On the other hand, there is also recent research showing that many people find driving to be a relaxing interlude between their many other stressful activities.

In fact, this strategy seems to confuse the solution with the problem.

Fighting Traffic Congestion with Information Technology

In a field experiment, volunteers in San Francisco downloaded apps to map noise levels in the city, collecting useful data for the local government while testing competing methods for distributing loads among devices. Those reasons, however, do not include potential reductions in congestion.

There are now a dozen or more travel corridors throughout the world where variable pricing for travel is in use, including a small handful in the United States.

Rapid declines over just a few decades in the cost of auto ownership in relationship to worker wages meant that many more people became mobile. Residents of the San Francisco Bay area recently rated urban traffic congestion as the single most important problem affecting their quality of life, even more important than public education or crime.

Since broadcasting is a key element for security and context awareness in vehicular ad hoc environments by simplifying direct vehicle-to-vehicle communications, effective information exchanging becomes critical. But fuel taxes had lower costs of administration; just a few percent of the fuel tax is spent to cover the costs of collecting the money, whereas the cost to operate tollbooths often amounted to a quarter of the tolls collected.

For 30 years, traffic and transportation authorities have been gradually incorporating instruments into roadways and vehicles to provide increasingly useful information for managing traffic flows.

Using history as a guide, it would seem that we have the technical means at hand with which to finally solve the congestion problem. The work of C. This explains why traffic seems to be much worse on the day that school reopens in the fall and to be surprisingly light in New York or Boston on Jewish holidays.

By the late 19th century, the high density of dwelling units, high occupancy of residential quarters, proximity of living areas to working areas, environmental hazards of factories, and transportation systems based on animal power were together defined as congestion.

The articles contained in the present issue include both reviews and research studies focused on data sensing and processing in situations where either pedestrians or vehicles act as mobile sensors.

The project is developing a novel experimentation architecture, called Vivo, to involve volunteers in the experimental phase to support application development. Like the politicians, they really want more congested environments but presumably want that congestion to be somehow managed and accommodated.

A strategy that creates more dense, mixed-use, transit-oriented communities and fewer low-density suburban neighborhoods can reduce vehicular travel in the aggregate, but at the expense of greater congestion in our city cores. Although technical experts could actually solve the problem of congestion, their solutions are politically unacceptable because they threaten economic growth along with congestion.

Population densities in industrial cities were many times what they are today, and urban congestion was then widely understood to mean the crowding of people in limited space. For example, it is technologically feasible to track vehicle locations and to provide drivers with specific information on the current and projected traffic levels and travel times on several alternate routes.

Adding or removing only a small fraction of all travelers can make an enormous difference in traffic flow, which makes traffic eminently subject to management strategies.

The work by C. As an introduction to the topic, the paper by W. In ancient Rome, the Caesars noted that the passage of goods carts on narrow city streets so congested them that they became impassable and unsafe for pedestrians.

Acknowledgments We would like to express our appreciation to all the authors for their novel contributions and the reviewers for their support and constructive critiques in making this special issue possible. National Academy Press, With the development of mobile cloud computing, wireless communication techniques, intelligent mobile terminals, and data mining techniques, Mobile Crowd Sensing (MCS) as a new paradigm of the Internet of Things can be used in traffic congestion control to provide more convenient services and.

Fighting Traffic Congestion with Information Technology. We now have the technical means to “solve” congestion.

Mobile Information Systems

But do we have the political will? Traffic congestion is a vexing problem felt by residents of most urban areas. A Recommendation of the Use of Mobile Crowdsensing to the Address the Issue of Traffic Congestion in Campuses. 1, words. 3 pages.

Mobile Crowd Sensing for Traffic Prediction in Internet of Vehicles

Cellphones: A Catalyst of Change in Modern Society. 1, words. The Impact of Cellphone Use in Society. words. 1 page.

Special Issue

place recommendation and traffic congestion monitoring. As a result, an attacker may guess to obtain the correct sensing mobile crowdsensing, which is a new architecture providing To address this issue, we utilize Chameleon hash function [18] to enable mobile users.

Abstract: Acquiring real-time traffic information is a basic requirement for dynamic vehicular navigation systems. The majority of the current navigation systems are based on static traffic information. Building on mobile crowdsensing technology, the authors propose context-aware traffic estimation.

Mobile Information Systems is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles that report the theory and/or application of new ideas and concepts in the field of mobile information systems.

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A recommendation of the use of mobile crowdsensing to the address the issue of traffic congestion in
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