Geologic Sensitivity and Groundwater Travel Time Map of the Marine Corps Air Station, Beaufort, South Carolina USA

2007 ◽  
pp. 231-238 ◽  
Author(s):  
J.M. Shafer ◽  
J.M. Rine ◽  
E. Covington ◽  
R.C. Berg
Keyword(s):  
South Carolina ◽  
Travel Time ◽  
Marine Corps ◽  
Time Map

Geologic Sensitivity and Groundwater Travel Time Map of the Marine Corps Air Station, Beaufort, South Carolina USA

2007 ◽  
Vol 3 (1) ◽  
pp. 231-238
Author(s):  
John M. Shafer ◽  
James M. Rine ◽  
Elzbieta Covington ◽  
Richard C. Berg
Keyword(s):  
South Carolina ◽  
Travel Time ◽  
Marine Corps ◽  
Time Map

Exploratory Analysis of the Relationships between Congestion, Travel Time Reliability, and Freight-Related Performance Management Measures and Their Associativity with the Roadway Attributes

2020 ◽  
Vol 2674 (10) ◽  
pp. 571-582
Author(s):  
Chowdhury Siddiqui ◽  
Kwanpyo Ko
Keyword(s):  
South Carolina ◽  
Performance Management ◽  
Travel Time ◽  
Performance Measures ◽  
Urban Areas ◽  
Exploratory Analysis ◽  
Travel Time Reliability ◽  
Negatively Associated ◽  
Management Measures ◽  
Highway System

The purpose of this study is to investigate the performance management measures related to highway system reliability, freight, and traffic congestion in light of the federal rulemaking that establishes these performance measures. The study conducts an exploratory analysis to understand their inter-relationships and examines their (un)common underlying attributes to discover their associativity with each of the performance measures. In doing so several traffic and roadway related characteristics of each reporting segment of the National Highway System (NHS) of South Carolina were processed and modeled for the travel time reliability and peak hour excessive delay using generalized linear models with a log-link function. The results from the study indicate that the unreliable Interstate segments contributed to about 87% of the excessive delays on the entire Interstate. It was also found that more than half of the non-Interstate NHS segments that experienced excessive delay, were reliable and they contributed to approximately 52% of the entire peak hour excessive delay of the non-Interstate NHS. The results from the model indicate that the directional annual average daily traffic (AADT) and the urban areas are the two most important attributes positively associated with all three performance measures, while the number of through lanes was found to be negatively associated with all three performance measures. The length of the reporting segments was positively associated with the excessive delays but negatively associated with the travel time reliabilities. The percentage of single trucks was unique to the Interstate delays and positively associated.

Assessment of Operational Effectiveness of SynchroGreen Adaptive Signal Control System in South Carolina

2021 ◽  
pp. 036119812110197
Author(s):  
Weimin Jin ◽  
M Sabbir Salek ◽  
Mashrur Chowdhury ◽  
Mohammad Torkjazi ◽  
Nathan Huynh ◽  
...  
Keyword(s):  
South Carolina ◽  
Control System ◽  
Travel Time ◽  
Geographical Area ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Travel Time Reliability ◽  
Operational Effectiveness ◽  
Adaptive Signal Control ◽  
Adaptive Signal

An adaptive signal control system (ASCS) can adjust signal timings in real time based on traffic demands. The operational benefits of ASCS vary depending on the type of ASCS, corridor characteristics, and geographical area. This paper evaluates the operational performance of 11 ASCS corridors located throughout South Carolina. These corridors are operated using SynchroGreen, one of several types of ASCS, developed by TrafficWare. Based on the operational analysis, it is found that when SynchroGreen is operational, it reduces the travel time on the corridor by an average of 6.4% and improves travel time reliability by an average of 31.4% compared with when the conventional traffic signal control system (e.g., pre-timed and actuated signal control) is operational. SynchroGreen reduces travel time on a corridor on average 61% of the time during a day and on average 77% of the time during peak periods. Additionally, SynchroGreen improves travel time reliability on average 53% of the time during a day and on average 52% of the time during peak periods. The operational effectiveness of SynchroGreen in reducing travel time and improving travel time reliability is consistent in both directions on an hourly basis for eight corridors and five corridors, respectively. Lastly, SynchroGreen is found to produce greater operational benefits by reducing travel time if the average speed of a corridor is lower than or equal to 35 mph and the number of signals on a corridor is more than 10.

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