Easinet: Procedural Package for Development and Analysis of Intersection Control Strategies

Author(s):  
Shahram Malek ◽  
Peter S. Parsonson ◽  
M. John Moskaluk ◽  
Hobih Chen

The purpose of the research was to investigate and develop a comprehensive tool to assist traffic engineers in the development and analysis of intersection control strategies. The interactive, microcomputer-based package developed as a result is called EASINET. EASINET consists of a number of tools, including a simulation program, an optimization-capacity analysis program, a knowledge-based system, and a number of support and utility programs. The simulation program is used to model the existing or projected traffic conditions and traffic control strategies. The knowledge-based system module is used to diagnose the problem and recommend solutions. The optimization model is used to perform the necessary computations, evaluate recommended solutions, and provide recommendations. EASINET guides a traffic engineer in designing traffic control strategies for fixed-time, noninterconnected intersections. The knowledge embedded in EASINET and its components is gathered from nationally accepted and respected human experts, publications, and programs. EASINET thereby gives the user access to accepted knowledge of confirmed practices in traffic signal design and operation. EASINET uses the results of the simulation component and capabilities of its components to identify locations with substandard performance, determine possible origins of the problem, generate and evaluate possible solutions to the problem, and make recommendations to the user for implementation. Using EASINET can enable this analysis procedure to be implemented more efficiently and effectively in a fraction of the time that would be required for an engineer to perform the analysis conventionally.

2006 ◽  
Vol 33 (9) ◽  
pp. 1217-1226 ◽  
Author(s):  
Ahmed Al-Kaisy ◽  
Eric Kerestes

This paper presents a study on evaluating traffic control at single-lane closures on two-lane two-way highways. Four traffic control strategies were investigated by this study. Those strategies involved fixed-time control, fixed-queue control, "static optimum" or convoy rule, and adaptive control. Traffic control strategies were modeled using two approaches; a deterministic approach in spreadsheet application and a stochastic approach in microscopic traffic simulation. Parametric analyses were performed using several variables that are related to traffic control at this type of lane closure. Those variables involved work zone length, average speed at work zone, lost time, traffic level, directional split, and interruptions to traffic by movement of construction vehicle and (or) equipment into and out of the construction site. Study results suggest that significant savings in average delay can be accrued by using more advanced traffic control strategies. Those savings could be as high as 53% for the range of conditions investigated by this research.Key words: work zone, flaggers, adaptive control, simulation, optimization.


2015 ◽  
Vol 42 (11) ◽  
pp. 910-918 ◽  
Author(s):  
Osama Osman ◽  
Julius Codjoe ◽  
Sherif Ishak ◽  
Jose Rodriguez ◽  
Marlene Russell

Ramp metering is one of the successful active traffic control strategies to control traffic flow at entry points to freeways. This study evaluates the effectiveness of fixed-time ramp metering control strategy on the day-to-day operation of traffic over two segments (easternmost and westernmost) of the I-12 corridor in Baton Rouge, Louisiana. Detector speeds and volumes were collected over 11 months and used to generate three performance measures, speed, travel time, and level of service to compare traffic conditions before and after the deployment of ramp meters. Comparative analysis, comprising statistical analysis, analysis of travel time savings, and level of service were then undertaken for traffic conditions before and after ramp meters installation. Overall, the results show some improvements in traffic conditions in the eastbound direction of the westernmost segment; however, the conditions slightly deteriorated on the westbound of the same segment. For the easternmost segment of I-12, no improvement was detected.


Author(s):  
Tanja Niels ◽  
Nikola Mitrovic ◽  
Nemanja Dobrota ◽  
Klaus Bogenberger ◽  
Aleksandar Stevanovic ◽  
...  

In a fully connected traffic environment with automated vehicles, new traffic control strategies could replace traditional traffic signals at intersections. In recent years, several studies about reservation-based intersection control strategies have been published, and a significant increase in capacity was shown. In the strategies presented so far, other road users usually play a minor role or are not considered at all. However, many use cases of automated driving occur in urban environments, where pedestrians and bicyclists play a major role. In this paper, a novel strategy for integrating pedestrians into automated intersection management is introduced and compared with a fully actuated traffic (AT) signal control. The presented control consists of a first-come, first-served strategy for vehicles in combination with an on-demand traffic signal for pedestrians. The proposed intersection control is explained, implemented, and tested on a four-leg intersection with several lanes coming from each direction. It dynamically assigns vehicles to lanes, and vehicles follow a protocol that enables cooperative lane-changing on the approach to the intersection. Demand-responsive pedestrian phases are included in such a way that predefined maximum pedestrian waiting times are not exceeded. A set of demand scenarios is simulated using a microsimulation platform. The evaluation shows that the presented control performs significantly better than the AT control when considering low, medium, and high traffic demand. Pedestrian waiting times are slightly improved and at the same time vehicle delays are substantially decreased. However, the control needs to be improved for scenarios with a very high vehicle demand.


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