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Probility Generation...

PROBABILITY GENERATION OF FREQUENCY AND SEVERITY OF NONRECURRING CONGESTION DUE TO ACCIDENTS TO IMPROVE EMISSIONS ANALYSIS

Principal Investigator:    Dr. Lei Yu

Sponsoring Agency:    Texas Department of Transportation 0-4073

Period:    September 1, 2002 ~ August 31, 2003

Research Abstract:

The Clear Air Act Amendments of 1990 require that transportation plans and programs are consistent with efforts to attain air quality standards. Nonattainment areas must demonstrate that their long-rang transportation plan and short-range transportation improvement programs (TIPs) are in conformity with the area’s State Implementation Plan (SIP).

In estimating the air emission on road network, it is a common practice to consider the emissions caused in the general cases of transportation operations including the recurring congestion, with a few considerations of the impacts of nonrecurring congestion due to accident.

Nonrecurring congestion in urban areas due to vehicle accidents is a large cause of increased delay, increased road user costs, and increased mobile source emissions.  Motor vehicle emission budgets and project analysis in nonattainment areas relay on regional travel demand model results and subsequent mobile source emissions estimates.  Regional mobile source emission estimates might be improved when impacts from nonrecurring congestion due to accidents are used.  The frequency and severity of nonrecurring incidents on urban roadway sections could be developed and associated with estimated travel and emissions results. 

The objective of this research is to examine and identify the data, methods, and tools necessary to integrate nonrecurring congestion from accidents into transportation and air quality modeling. Since accidents and the nonrecurring congestion caused are small probability events. The conventional analytical models and approaches are based on either the simple regress analysis, or traditional probability analysis. This research intends to apply the Bayesian Approach onto the analysis of the Department of Public Safety county-level accident data. The accidents by day of week, hour of day, the lanes blocked per accident, and etc. is to be analyzed by the discrete case of Bayesian Approach; while the accident duration is to be analyzed by the continuous case of Bayesian Approach. Finally, the process for air quality impacts of nonrecurring congestion is to be conducted and documented to TxDOT.

Research Information

For further information about the research, please contact Dr. Lei Yu by telephone at(713) 313-7282 or by e-mail at yu_lx@tsu.edu.

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Department of Transportation Studies
TB 125, College of Science & Technology, Texas Southern University
3100 Cleburne Avenue, Houston, Texas 77004-9986 USA
Phone (713) 313-1841 or (713) 313-6809 
 Fax (713) 313-1856  

Contact:
Dr. Yi Qi, Interim Chair
Ms. Paula Eakins, Administrative Assistant

Probility Generation... *
Use of Flashing
Investigate Existing
Causes and Patterns
Driver Understanding
Dynamic Traffic Assignment
Bicycle and Pedestrian
Development of Pedestrian
Preserving Functionality
Development of Guidelines
Characterization of Exhaust
PEMS-Based Approach
Vehicle Infrastructure Integration
RFID Applications
Development of Left-Turn
Symbols and warrants
Develop Emissions
Computer Simulation
Vehicle Infrastructure Integration
Radio Frequency (RF)
Measuring Vehicle Turning ...
Left-Turn Lane ...
Using GPS ...
Regional Public ...
ITS Data ...
Analyzing Truck ...
Collection and...
2003 TxDOT ...
Measurement and ...
Probility Generation...
How Do ...
Evaluation Of ...
Yellow And ...
Airport Related...
Pavement Smoothness ...
Synthesis Report...
Impact of Katy ...
Assessment on ...
Evaluation and...
ITS technologies ...
Transportation Expertise ...
Using Real-time ...
Forecasting Traffic...
Electronic energy...
Collection and ...
Real-Time ...
 

Last updated: 01/25/10 US Central Time

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