Work Zone Optimization for Two-Lane Highway Resurfacing Projects with an Alternate Route

2005 ◽  
Vol 1911 (1) ◽  
pp. 51-66 ◽  
Author(s):  
Chun-Hung (Peter) Chen ◽  
Paul Schonfeld ◽  
Jawad Paracha
Keyword(s):  
Simulated Annealing ◽  
Traffic Management ◽  
Agency Cost ◽  
Work Zone ◽  
Time Dependent ◽  
User Cost ◽  
Total Cost ◽  
Management Plans ◽  
Delay Cost ◽  
Alternate Routes

Pavements on two-lane two-way highways are usually resurfaced by closing one lane at a time. Vehicles then travel in the remaining lane along the work zone, alternating directions within each control cycle. In an earlier work, Chen and Schonfeld developed a work zone optimization model for two-lane highways with time-dependent inflows and no detours, based on simulated annealing. In this paper, several alternatives are evaluated, defined by the number of closed lanes and fractions of traffic diverted to alternate routes. The algorithm referred to as SAUASD (simulated annealing for uniform alternatives with a single detour) is developed to find the best single alternative within a resurfacing project. The algorithm referred to as SAMASD (simulated annealing for mixed alternatives with a single detour) is developed to search through possible mixed alternatives and their diverted fractions, to minimize total cost, further including agency cost (resurfacing cost and idling cost) and user cost (user delay cost and accident cost). Thus, traffic management plans are developed with uniform or mixed alternatives within a two-lane highway resurfacing project.

Guidelines for Application of Portable Work Zone Intelligent Transportation Systems

2003 ◽  
Vol 1824 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Michael D. Fontaine
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Management ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Lessons Learned ◽  
Work Zone ◽  
Expected Performance ◽  
Operational Tests ◽  
Message Signs ◽  
Alternate Routes

Work zone intelligent transportation systems (WZITSs) are promoted as a way to improve safety and reduce congestion at work zone locations where traditional traffic management centers do not exist. These systems usually integrate portable changeable message signs and speed sensors with a central control system that automatically determines appropriate messages that are based on current traffic conditions. Manufacturers of these systems claim that WZITSs can warn drivers of downstream congestion, alert drivers to slower speeds ahead, and suggest alternate routes on the basis of prevailing conditions. Transportation agencies are often asked to make decisions on the installation of a WZITS without the benefit of objective information on its expected performance. Relatively few operational tests of these systems have been performed, and the results are not always well documented or conclusive. Agencies need guidance to help them determine whether a WZITS system would improve safety and operations at a specific site. Applications of WZITSs are reviewed, and a series of guidelines for their deployment, based on lessons learned from past tests, is presented.

Work-zone traffic management with transportation planning software

1993 ◽  
Vol 20 (3) ◽  
pp. 471-479 ◽  
Author(s):  
M. Nazrul Islam ◽  
Prianka N. Seneviratne
Keyword(s):  
Transportation Planning ◽  
Traffic Management ◽  
Predictive Accuracy ◽  
Work Zone ◽  
Total Delay ◽  
Planning Software ◽  
Present Generation ◽  
Road Work ◽  
Alternate Routes ◽  
Management Alternatives

In this paper, the pros and cons of applying transportation planning software (TPS) in work-zone traffic management are investigated. The overall objective is to provide potential users, particularly small municipalities, with a basis for selecting the TPS best suited for evaluating traffic management alternatives for work zones. Four TPSs (TRANPLAN, MINUTP, SYSTEM II, and QRS II) were examined and rated with respect to eleven characteristics, SYSTEM II and QRS II, rated first and second, respectively, are used to assign traffic in a selected network. Alternate routes during road work are identified to minimize total delay and noise impact. The performance of the two TPSs is assessed in relation to predictive accuracy, post-processing requirements, and compatibility with other software. It is found that, while concerns about predictive accuracy and training needs can be overcome at a price, some special features are required within the present generation of TPS for them to be truly beneficial in the routine analysis of work-zone traffic plans. The significance of these features is discussed in reference to the assignment case study. Key words: traffic assignment, work zone, traffic management, planning, software, SYSTEM II, QRS II.

CLUSTERING-NEURAL NETWORK MODELS FOR FREEWAY WORK ZONE CAPACITY ESTIMATION

2004 ◽  
Vol 14 (03) ◽  
pp. 147-163 ◽  
Author(s):  
XIAOMO JIANG ◽  
HOJJAT ADELI
Keyword(s):  
Neural Network ◽  
Traffic Management ◽  
Network Models ◽  
Work Zone ◽  
Subtractive Clustering ◽  
Neural Network Models ◽  
Factors Affecting ◽  
Management Plans ◽  
Parametric Studies ◽  
Clustering Approach

Two neural network models, called clustering-RBFNN and clustering-BPNN models, are created for estimating the work zone capacity in a freeway work zone as a function of seventeen different factors through judicious integration of the subtractive clustering approach with the radial basis function (RBF) and the backpropagation (BP) neural network models. The clustering-RBFNN model has the attractive characteristics of training stability, accuracy, and quick convergence. The results of validation indicate that the work zone capacity can be estimated by clustering-neural network models in general with an error of less than 10%, even with limited data available to train the models. The clustering-RBFNN model is used to study several main factors affecting work zone capacity. The results of such parametric studies can assist work zone engineers and highway agencies to create effective traffic management plans (TMP) for work zones quantitatively and objectively.

scholarly journals Simulation and measurement of air quality in the traffic congestion area

2021 ◽  
Vol 31 (1) ◽  
Author(s):  
Shin Yu ◽  
Chang Tang Chang ◽  
Chih Ming Ma
Keyword(s):  
Air Quality ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Reference Model ◽  
Dispersion Model ◽  
Fluid Model ◽  
Three Dimensional ◽  
Vehicle Speed ◽  
Management Plans ◽  
Dimensional Distribution

AbstractThe traffic congestion in the Hsuehshan tunnel and at the Toucheng interchange has led to traffic-related air pollution with increasing concern. To ensure the authenticity of our simulation, the concentration of the last 150 m in Hsuehshan tunnel was simulated using the computational fluid dynamics fluid model. The air quality at the Toucheng interchange along a 2 km length highway was simulated using the California Line Source Dispersion Model. The differences in air quality between rush hours and normal traffic conditions were also investigated. An unmanned aerial vehicle (UAV) with installed PM2.5 sensors was developed to obtain the three-dimensional distribution of pollutants. On different roads, during the weekend, the concentrations of pollutants such as SOx, CO, NO, and PM2.5 were observed to be in the range of 0.003–0.008, 7.5–15, 1.5–2.5 ppm, and 40–80 μg m− 3, respectively. On weekdays, the vehicle speed and the natural wind were 60 km h− 1 and 2.0 m s− 1, respectively. On weekdays, the SOx, CO, NO, and PM2.5 concentrations were found to be in the range of 0.002–0.003, 3–9, 0.7–1.8 ppm, and 35–50 μg m− 3, respectively. The UAV was used to verify that the PM2.5 concentrations of vertical changes at heights of 9.0, 7.0, 5.0, and 3.0 m were 45–48, 30–35, 25–30, and 50–52 μg m− 3, respectively. In addition, the predicted PM2.5 concentrations were 40–45, 25–30, 45–48, and 45–50 μg m− 3 on weekdays. These results provide a reference model for environmental impact assessments of long tunnels and traffic jam-prone areas. These models and data are useful for transportation planners in the context of creating traffic management plans.

Comparison of Three Traffic Management Plans Showing Shadow and Police Vehicle Effects on Driver Behavior at Highway Single Lane Closures

2020 ◽  
Vol 2674 (9) ◽  
pp. 15-25
Author(s):  
Ross Blackman ◽  
Matthew Legge ◽  
Ashim Kumar Debnath
Keyword(s):  
Traffic Management ◽  
Injury Risk ◽  
Driver Behavior ◽  
Night Time ◽  
Buffer Area ◽  
Driver Response ◽  
Management Plans ◽  
Efficiency And Effectiveness ◽  
Positive Effect ◽  
Lane Closures

Lane closures on multi-lane roads require drivers to transition safely to an open lane before passing the worksite. To reduce worker and driver injury risk, truck-mounted attenuators (TMAs) are often used to prevent vehicle work zone intrusions and reduce the severity of collisions. To maximize the efficiency and effectiveness of TMA use, it is necessary to determine how and when they should be deployed as well as the best supporting measures. The current research focuses on the effects of different traffic management plans (TMPs) on driver behavior. Three TMPs at night time highway work zones were examined: ( 1 ) two tail vehicles in the advance warning area, ( 2 ) three tail vehicles in the advance warning area, and ( 3 ) addition of a marked police car with flashing lights in the buffer area downstream of the TMA. Driver response to the different TMPs was assessed by measuring vehicle speeds at three points in the traffic management area and observing lane change and merging behaviors on the approach to the TMA. Analysis showed a positive effect of police presence in the buffer area on driver behavior: TMP3 produced a reduction of 8.4%–12.9% in proportions of vehicles exceeding the speed limit by at least 5 km/h when passing the TMA. TMP3 also appeared to produce a positive effect on merging behavior compared with the other layouts. Use of a third tail vehicle in the advance warning area was not found to produce any additional safety benefit and may have a detrimental effect.

scholarly journals A Framework for Enhancing the Operational Phase of Traffic Management Plans

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 204483-204493
Author(s):  
Luis A. Garcia ◽  
Vicente R. Tomas
Keyword(s):  
Traffic Management ◽  
Management Plans ◽  
Operational Phase

Predictive Time-Based Feedback Control Approach for Managing Freeway Incidents

2000 ◽  
Vol 1710 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Omar B. Sawaya ◽  
Dung L. Doan ◽  
Athanasios K. Ziliaskopoulos
Keyword(s):  
Feedback Control ◽  
Traffic Management ◽  
Control Strategies ◽  
Compliance Rate ◽  
Dynamic Control ◽  
Route Guidance ◽  
Control Approach ◽  
Real Time Traffic ◽  
Freeway Incidents ◽  
Alternate Routes

A feedback control approach is introduced that produces dynamic control strategies in the form of alternate routes around freeway incidents and in response to the prevailing traffic conditions. The approach is based on the equalization of predictive travel times on alternate routes. The methodology is intended to be used as a decision-aid tool for real-time traffic management applications, more specifically for route guidance via variable message signs. The approach is implemented and tested computationally on an example network in a simulated environment under various scenarios of system disturbances. The results indicate that the performance of this approach is fairly robust to uncertainties in demand, compliance rate, and incident severity. It also performs better than an anticipatory approach and an instantaneous time–based feedback control approach.

scholarly journals Empirical Analysis of Traffic Bottleneck at Beijing Expressways

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Sheng Jin ◽  
Dianhai Wang ◽  
Dongfang Ma
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Traffic Flow ◽  
Survey Data ◽  
Traffic Management ◽  
Time Dependent ◽  
Control Line ◽  
Flow Parameters ◽  
Data Gap ◽  
Ramp Control

The expressways in Beijing are confronted with more serious traffic congestions. Based on the survey data obtained from the typical sections at the expressways, the time dependent characteristics of traffic flow parameters were analyzed in detail and the data gap was found in this paper. The Fast Fourier Transform (FFT) method is proposed to transfer the data of traffic flow parameters for describing the fluctuation characteristics of traffic flow. Two methods of identification, the graph method and the control line method, were proposed as to the change time of traffic bottleneck forming and dissipating. The findings in this paper have already been applied in traffic management and ramp control at the expressways in Beijing.

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