Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories

2015 ◽  
Vol 59 ◽  
pp. 375-390 ◽  
Author(s):  
Jiwon Kim ◽  
Hani S. Mahmassani
Keyword(s):  
Traffic Network ◽  
Travel Patterns ◽  
Vehicle Trajectories

Geographical Characterization of Ship Traffic and Emissions

2005 ◽  
Vol 1909 (1) ◽  
pp. 90-99 ◽  
Author(s):  
Chenfeng Wang ◽  
James J. Corbett
Keyword(s):  
Coastal Waters ◽  
East Coast ◽  
Air Emissions ◽  
Traffic Network ◽  
Traffic Patterns ◽  
Data Set ◽  
Ship Traffic ◽  
Traffic Pattern ◽  
Adequate Data

The Commercial Marine Vessel Traffic and Air Emissions Model (CMV-TAEM) estimates and geographically represents offshore vessel traffic and emissions based on actual shipping activities. The CMV-TAEM has three modules: ship traffic, ship emissions, and policy analysis. The model establishes empirical ship traffic network on the basis of ship observations derived from the International Comprehensive Ocean-Atmosphere Data Set and shipping activity records. Geographical representations of ship traffic intensities and emissions can be produced through the math-ematic manipulation of matrices of ship traffic network, shipping activity, and ship characteristic data. Overall, although seasonal changes are apparent, the global ship traffic pattern does not change much annually. The ship traffic pattern changes regionally, with a net increase in some areas and net decrease in others. Multiple-year observations are combined to make traffic patterns for major shipping lanes smoother and clearer. Results indicate that 84.5% of global ship traffic occurs north of the equator and two-thirds of global ship traffic within 200 nautical miles of the shore. About 10% of global ship traffic occurs in U.S. coastal waters; shipping along the East Coast accounts for more than one-fifth of the U.S. coastal traffic. Adequate data are available to determine ship activities and ship attributes and to implement the model.

scholarly journals Electric Vehicles Aggregator Participation in Energy Markets Considering Uncertainty Travel Patterns

2019 ◽  
Vol 8 (12) ◽  
pp. 4994-4998
Keyword(s):  
Real Time ◽  
Electric Vehicles ◽  
Market Price ◽  
Electric Energy ◽  
Energy Market ◽  
Electric Transport ◽  
Travel Patterns ◽  
Daily Cost ◽  
The Cost

This research studies a general modeling to evaluate different scenarios of travel patterns and their impact on the daily cost negotiated in the Real Time and Day-Ahead market, using the GAMS methodology in a MILP model, evaluating also a characterization of the PQP market (price quantity probability). The purpose of this characterization is to determine the behavior of the electric energy market, considering also the deterioration of batteries and the negotiations of it in real time in situations of shortage and overload, optimizing in this way the effects of the analysis of the cost of the application of the battery on the different travel patterns, consequently triggering the emergence of the development of the local electric transport aggregator industry.

scholarly journals Recreational Boating Characterization of Brevard County

EDIS ◽  
2008 ◽  
Vol 2008 (1) ◽  
Author(s):  
Charles Sidman ◽  
Tim Fik ◽  
Robert Swett ◽  
Bill Sargent ◽  
James Fletcher ◽  
...  
Keyword(s):  
Mail Survey ◽  
Recreational Boating ◽  
Travel Patterns ◽  
Brevard County

TP-160 is a 129-page illustrated report by Charles Sidman, Tim Fik, Robert Swett, Bill Sargent, James Fletcher, Susan Fann, David Fann, and Alisa Coffin. It documents the methods, procedures, and results of a map-based mail survey that was distributed to Brevard County boaters to obtain seasonal information about their boating preferences, use profiles, and travel patterns. Published by the UF Sea Grant College Program, September 2007.

scholarly journals Transition Characteristic Analysis of Traffic Evolution Process for Urban Traffic Network

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Longfei Wang ◽  
Hong Chen ◽  
Yang Li
Keyword(s):  
Urban Traffic ◽  
Evolution Process ◽  
Traffic Network ◽  
Traffic Patterns ◽  
Characteristic Analysis ◽  
Self Organizing Maps ◽  
Traffic Time Series ◽  
Temporal Domain ◽  
Urban Traffic Network

The characterization of the dynamics of traffic states remains fundamental to seeking for the solutions of diverse traffic problems. To gain more insights into traffic dynamics in the temporal domain, this paper explored temporal characteristics and distinct regularity in the traffic evolution process of urban traffic network. We defined traffic state pattern through clustering multidimensional traffic time series using self-organizing maps and construct a pattern transition network model that is appropriate for representing and analyzing the evolution progress. The methodology is illustrated by an application to data flow rate of multiple road sections from Network of Shenzhen’s Nanshan District, China. Analysis and numerical results demonstrated that the methodology permits extracting many useful traffic transition characteristics including stability, preference, activity, and attractiveness. In addition, more information about the relationships between these characteristics was extracted, which should be helpful in understanding the complex behavior of the temporal evolution features of traffic patterns.

Morphological Characterization of Mycobacteriophage R1

1974 ◽  
Vol 32 ◽  
pp. 254-255
Author(s):  
B. L. Soloff ◽  
T. A. Rado
Keyword(s):  
Carbon Source ◽  
Stationary Phase ◽  
Growth Phase ◽  
Minimal Medium ◽  
Morphological Characterization ◽  
Logarithmic Growth Phase ◽  
Complete Lysis ◽  
Lysogenic Culture ◽  
Logarithmic Growth

Mycobacteriophage R1 was originally isolated from a lysogenic culture of M. butyricum. The virus was propagated on a leucine-requiring derivative of M. smegmatis, 607 leu−, isolated by nitrosoguanidine mutagenesis of typestrain ATCC 607. Growth was accomplished in a minimal medium containing glycerol and glucose as carbon source and enriched by the addition of 80 μg/ ml L-leucine. Bacteria in early logarithmic growth phase were infected with virus at a multiplicity of 5, and incubated with aeration for 8 hours. The partially lysed suspension was diluted 1:10 in growth medium and incubated for a further 8 hours. This permitted stationary phase cells to re-enter logarithmic growth and resulted in complete lysis of the culture.

AEM analysis of crystallization in Ti-based amorphous alloys

1983 ◽  
Vol 41 ◽  
pp. 270-271
Author(s):  
A.R. Pelton ◽  
A.F. Marshall ◽  
Y.S. Lee
Keyword(s):  
Magnetic Properties ◽  
Amorphous Alloys ◽  
Amorphous Materials ◽  
Isothermal Annealing ◽  
Amorphous Matrix ◽  
Nucleation And Growth ◽  
Current Interest ◽  
Amorphous Films ◽  
Electrical And Magnetic Properties

Amorphous materials are of current interest due to their desirable mechanical, electrical and magnetic properties. Furthermore, crystallizing amorphous alloys provides an avenue for discerning sequential and competitive phases thus allowing access to otherwise inaccessible crystalline structures. Previous studies have shown the benefits of using AEM to determine crystal structures and compositions of partially crystallized alloys. The present paper will discuss the AEM characterization of crystallized Cu-Ti and Ni-Ti amorphous films.Cu60Ti40: The amorphous alloy Cu60Ti40, when continuously heated, forms a simple intermediate, macrocrystalline phase which then transforms to the ordered, equilibrium Cu3Ti2 phase. However, contrary to what one would expect from kinetic considerations, isothermal annealing below the isochronal crystallization temperature results in direct nucleation and growth of Cu3Ti2 from the amorphous matrix.

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