Rapid growth in travel demand during the last decade has led to increased delays and recurring congestion costs on urban roads in many areas. In addition, crashes, construction and rehabilitation activities, weather, and special events contribute to significant levels of non-recurring congestion cost. Travelers' perception of reliability of road network is based on factors contributing to both types of congestion. However, literature documents little to no research to combine and measure congestion using both the disparate factors. Thus, there is a need to research, define and measure congestion based on factors contributing to both recurring and non-recurring congestion. Travel time is a measure which is simple and easy to understand. Reliability can be measured either in terms of travel time or in terms of variation in travel time. Using measures such as travel time reliability helps address questions such as "how reliable are our roads?" and "which path is more reliable to reach a destination from an origin within an "on-time window" during a certain time of the day?" The focus of this paper is to develop and illustrate the working of a Geographic Information Systems (GIS) based methodology to estimate travel time reliability for each link on major roads. The methodology involves 1) estimating travel time using Bureau of Public Roads equation for each link, 2) identifying the number of crashes by severity type on each link, 3) estimating travel delays due to crashes for each link, 4) estimating total travel time based on 1 and 3 for each link, and, 5) estimating travel time reliability for each link using results from Step 4. Factors such as link volume, link capacity, the travel speed, crashes and their types, and time to restore normal conditions after a crash are collected and used in the computations. As travel demand and crash occurrence depend on the time of the day, temporal variations in travel time for each link are also addressed. Data collected for the Charlotte metropolitan area in North Carolina are used to demonstrate the working of the methodology. The outcomes will help practitioners and researchers identify congested segments and suitable mitigation strategies.
How Reliable Are Our Roads? A Case Study Using Charlotte, NC Data
Transportation Land Use, Planning, and Air Quality Congress 2007 ; 2007 ; Orlando, Florida, United States
2008-05-15
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
How Reliable Are Our Roads? A Case Study Using Charlotte, NC Data
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