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Grant: Discovery Grants Program - Individual

University of Regina

$21,000.00

Improved concepts and methods for accurate estimation of traffic volume, vehicle composition, traffic flow characteristics, and accident rates for canadian highways

FY 2013-14

Summary
Highway agencies commit a significant portion of their financial and personnel resources to undertaking various types of data collection programs. They use permanent traffic counters (PTC), automatic vehicle classifiers, and sample counts to collect traffic volume and classification data, which play a very important role in the determination of essential highway planning and design parameters. Highway agencies also gather and investigate accident data to provide a high level of safety to road users.The main purpose of this research is to develop improved concepts and methods for estimation of traffic volume, vehicle composition, traffic flow characteristics, and accidents rates for Canadian highways. Research will utilize traffic and accident data available from highway agencies. National Climate Data available from weather stations and Alberta's Road Weather Information Systems will provide information about weather parameters. Modern statistical and computational techniques will be used to accomplish the objectives of this research.The research on estimation of the average annual daily traffic from sample traffic counts taken during winter months will help agencies to develop efficient monitoring programs by extending short duration counting to winter months. The outcome of research from study of PTCs with missing data records will allow highway agencies to maximize utilization of partially recorded data. The investigation of truck traffic will lead highway agencies to collect and process truck traffic data in a more cost-effective manner than at present. A better understanding of the impact of weather on highway safety will be highly important in developing policies that reduce weather-related crash rates on highways. Also, the knowledge about changes in collision rates between successive snow removals will be very useful for highway agencies to plan for efficient snow clearance polices. The proposed research on traffic stream characteristics during adverse weather conditions will help agencies in developing better traffic management strategies and operating polices.
Program
Discovery Grants Program - Individual
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
4658-2011
Name nom
Sharma, Satish
Department département
Engineering and Applied Science, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2011
Award amount
21000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
700
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Transportation systems and services
Area of application fr
Services et systèmes de transport
Research subject code
1000
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Civil engineering
Research subject fr
Génie civil
Partie
3
Nb partie
5
Application title
Improved concepts and methods for accurate estimation of traffic volume, vehicle composition, traffic flow characteristics, and accident rates for canadian highways
Keyword
NSERC
Application summary
Highway agencies commit a significant portion of their financial and personnel resources to undertaking various types of data collection programs. They use permanent traffic counters (PTC), automatic vehicle classifiers, and sample counts to collect traffic volume and classification data, which play a very important role in the determination of essential highway planning and design parameters. Highway agencies also gather and investigate accident data to provide a high level of safety to road users.The main purpose of this research is to develop improved concepts and methods for estimation of traffic volume, vehicle composition, traffic flow characteristics, and accidents rates for Canadian highways. Research will utilize traffic and accident data available from highway agencies. National Climate Data available from weather stations and Alberta's Road Weather Information Systems will provide information about weather parameters. Modern statistical and computational techniques will be used to accomplish the objectives of this research.The research on estimation of the average annual daily traffic from sample traffic counts taken during winter months will help agencies to develop efficient monitoring programs by extending short duration counting to winter months. The outcome of research from study of PTCs with missing data records will allow highway agencies to maximize utilization of partially recorded data. The investigation of truck traffic will lead highway agencies to collect and process truck traffic data in a more cost-effective manner than at present. A better understanding of the impact of weather on highway safety will be highly important in developing policies that reduce weather-related crash rates on highways. Also, the knowledge about changes in collision rates between successive snow removals will be very useful for highway agencies to plan for efficient snow clearance polices. The proposed research on traffic stream characteristics during adverse weather conditions will help agencies in developing better traffic management strategies and operating polices.