Influence of On-Ramp Spacing on Traffic Flow on Atlanta Freeway And Arterial Street System
نویسنده
چکیده
The purpose of this study was to determine the influence of ramp spacing on the traffic flow characteristics on the Atlanta Freeway System and city streets influenced by the freeway. Timelapse photography was used to collect data at four study locations on the freeway. Speed and delay studies were also made on the freeway and surface streets during ramp closure periods and during normal operation of the freeway. Comparisons were made of volumes, speeds, densities, overall travel, and overall travel time on the streets within the system using analysis of variance techniques. It was found that closing any one of the northbound on-ramps on the North Freeway during the afternoon peak hour improved the overall operating characteristics of the freeway. This improvement was shown by a smoother and more uniform flow of traffic as reflected by the speeds and densities on the freeway with none of the ramps_ closed. Closing any one of the northbound on-ramps caused a significant increase in the total travel time in vehicle-minutes within the system. The overall travel in vehicle-miles was not changed significantly by closing any one of the northbound on-ramps within the system . As a result of this study, it was recommended that the Fourteenth Street northbound on-ramp be closed during the afternoon peak period for three months and that further tests be carried out on a system basis to determine if the Fourteenth Street northbound on-ramp should be closed during the peak period on a permanent basis.
منابع مشابه
Comparing Methods of Ramp Metering for On-Ramps to Improve the Operational Conditions at Peak Hours
This paper aims to evaluate and compare the effects of different methods of ramp metering on the operational conditions of traffic flow at three levels: the network level (including the freeway and its connected ramps), the entrance ramp, and the upstream segment of the entrance. To achieve this aim, one of the most important urban freeways in the metropolis of Isfahan was selected. The traffic...
متن کامل-‐ 1 -‐ an Integrated off - Ramp Control Model for Freeway Traffic Management
This study presents a mixed integer model for an integrated control between off-ramp and arterial traffic flows. The proposed study intends to minimize the queue spillback from offramp to the freeway mainline that may significantly degrade the performance quality of the entire freeway system. In this study, the Cell Transmission Model (1, 2) is employed to capture the traffic propagation on bot...
متن کاملEvaluation of Methods for Computing Free-Flow Speed and Its Significance in the HCM 2010; Case Study: A Ramp-Weaving Segment
The core methodology of the Highway Capacity Manual (HCM) 2010 for freeway analyses is based on Free-Flow Speed (FFS). Moreover, weaving segments are major elements of freeway facilities that form where two one-way traffic streams intersect by merging and diverging maneuvers. Hence, this study used three different methods to compute FFS of a ramp-weaving segment, and then employed the proposed ...
متن کاملFinal Technical Report TransNow Budget No. 61-6023 DEVELOPING AN AREA-WIDE SYSTEM FOR COORDINATED RAMP METER CONTROL
Ramp metering has been broadly accepted and deployed as an effective countermeasure against both recurrent and non-recurrent congestion on freeways. However, many current ramp metering algorithms tend to improve only freeway travels using local detectors' inputs and overlook the negative impacts on local streets. This may generate two problems: 1) the optimal local settings may not result in a ...
متن کاملProbability of Capacity Enhancement and Disruption for Freeway Ramp Controls analysis by Gap-acceptance and Queuing Models
Transportation Research Record: Journal of the Transportation Research Board, No. 2278, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 1–12. DOI: 10.3141/2278-01 Z. Z. Tian, Department of Civil and Environmental Engineering, University of Nevada, Reno, MS 0258, Reno, NV 89557. N. Wu, Institute for Traffic Engineering, Ruhr University Bochum, 44801 Bochum, G...
متن کامل