Application of Dimensionless Method to Estimate Traffic Delays at Stop-Controlled T-Intersections

Author(s):  
Mohammad Ali Sahraei ◽  
Emre Kuşkapan ◽  
Muhammed Yasin Çodur
Keyword(s):  
2017 ◽  
Vol 12 (3) ◽  
pp. 187-192
Author(s):  
Vytautas Dumbliauskas ◽  
Vytautas Grigonis ◽  
Jūratė Vitkienė

Most of the Lithuanian cities try to achieve public transport priority by the provision of special dedicated public transport lanes. However, the possible priority measures at signalised intersections receive less attention. This paper explains common signal control strategies applied at isolated intersections in the cities around the world and estimated their effects on the travel times of both, public transport and general traffic. The analysis employs well recognised PTV VISSIM simulation environment and VisVAP graphical programming interface to implement and test priority measures under question. The results indicate that priority actions significantly reduce public transport delays up to 60%, without high adverse impact on general traffic delays.


Author(s):  
Felipe Maia Galvão França ◽  
Félix Mora-Camino

With the sustained increase in air transportation, resulting in increased operational costs, potential danger with conflictive traffic conditions and delays for passengers and airlines, ground traffic has become a critical issue for many airports. In this communication the ground traffic at an airport is considered to be composed of three dependent flows: aircraft, passenger vehicles and servicing vehicles. It is assumed in this study that each type of vehicles belongs to a common pool which attends every arriving or departing aircraft. The objective here is to propose a global control structure based on cooperation between the different agents responsible for the management of each fleet to reduce overall aircraft traffic delays at airside.


2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Mohammad Ali Sahraei ◽  
Othman Che Puan ◽  
M. Al–Muz–zammil Yasin

Traffic delay is one of the important aspects considered in the assessment of the operational performance of intersections. In the analysis of priority or unsignalised junctions, delays to minor road vehicles are often estimated using the existing mathematical models. However, the applicability of such a model depends on the basis and the source of the data with which the model was calibrated. This study was carried out to evaluate traffic delays to minor road vehicles at priority junctions in suburban areas. The data were collected at two priority junctions using video recording technique. The results showed that the day time delays were longer than of those observed during the twilight time. In both situations, delay to minor road vehicles increases as the volume of major road traffic increases. However, the effect of conflicting volume on the delay to the minor road vehicles is not clear. The comparisons between observed delay and the values predicted using the HCM and Tanner’s models indicated that, in general, the observed delays are much lower than the values predicted by both models particularly during the day time. Such a finding suggests that both HCM and Tanner’s models are not directly applicable to the analysis of delays at priority junctions in Malaysia.


2015 ◽  
Vol 5 (3) ◽  
pp. 110-127 ◽  
Author(s):  
Emma V. Andersson ◽  
Anders Peterson ◽  
Johanna Törnquist Krasemann

2013 ◽  
Vol 427-429 ◽  
pp. 901-904 ◽  
Author(s):  
Chang Jiang Zheng ◽  
De Gang Lin ◽  
Shu Kang Zheng ◽  
Shu Yan Chen

Available traffic delays prediction models for signalized intersection tend to predict the traffic delays under certain conditions and they are weak in adapt to different situation. In the paper, based on the theories of BP neural network, a network model, having a strong ability to adapt to different conditions, for traffic delay in average hours at a signalized intersection is established. It is trained and tested utilizing the data of traffic delay in average hours at a certain entrance of a signalized intersection. The predicted results and the actual data are compared with each other and the results prove the reliability and effectiveness of BP neural network in predicting traffic delays.


Headline UNITED STATES: Traffic delays will pressure lawmakers


2009 ◽  
Vol 36 (11) ◽  
pp. 1744-1754 ◽  
Author(s):  
Yeun J. Jung

A lack of reliable information regarding the locations of underground utilities can not only result in property damage, construction delays, design changes, claims, injuries, and even deaths but can also cause traffic delays, local business disruptions, environmental problems, and utility service breakdowns in highway projects. The subsurface utility engineering (SUE) is an engineering process designed to reduce the potential of underground utility conflicts at the planning phase. The SUE uses new and existing technologies to identify, characterize, and map accurately the underground utilities with three major activities: designation, location, and data management. In this study, a decision-support tool called the SUE utility impact rating form, which refers to utility complexity at the construction site, has been developed to determine which projects should include SUE and the appropriate levels of SUE investigation to be used. In addition, case studies with benefit–cost ratio have been performed to verify the form.


Sign in / Sign up

Export Citation Format

Share Document