Do Freeway Traffic Management Strategies Exacerbate Urban Sprawl?

2010 ◽  
Vol 2174 (1) ◽  
pp. 99-109 ◽  
Author(s):  
Lei Zhang
Keyword(s):  
Urban Sprawl ◽  
Traffic Management ◽  
Management Strategies ◽  
Freeway Traffic

Analysis of Freeway Accident Detection

1997 ◽  
Vol 1603 (1) ◽  
pp. 80-89 ◽  
Author(s):  
M. J. Corby ◽  
F. F. Saccomanno
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management Strategies ◽  
Freeway Traffic ◽  
Vehicle Accidents ◽  
Traffic Characteristics ◽  
Time To Detection ◽  
Freeway Incidents ◽  
Time Required ◽  
Accident Detection

Instrumented traffic management can assist in the detection of freeway incidents and reduce the time required to initiate effective traffic management strategies and emergency response measures. Although instrumented freeway traffic management is concerned primarily with general incidents, reportable vehicle accidents are the focus of this research. Reportable accidents account for 20 percent of all freeway incidents and give rise to much of the nonrecurrent traffic congestion experienced on many freeways. Explored here is how the use of various accident-detection criteria, such as change in speed, vehicle occupancy, and traffic volume, affects the time to detection for a mix of factors (preaccident traffic characteristics, accident lane-blockage pattern, position and distance of detector with respect to each accident). A representative sample of Toronto freeway accidents for 1994 was analyzed using analysis of variance. The results of this analysis suggest ways in which instrumented detection of freeway accidents can be made more efficient by reducing the time to detection.

Using Traffic Disturbance Metrics to Estimate and Predict Freeway Traffic Breakdown and Safety Events

2021 ◽  
pp. 036119812110124
Author(s):  
Leila Azizi ◽  
Mohammed Hadi
Keyword(s):  
Traffic Safety ◽  
Management Strategies ◽  
Connected Vehicles ◽  
Freeway Traffic ◽  
Transportation Management ◽  
Time To Collision ◽  
Decision Tools ◽  
Traffic State ◽  
Traffic Performance ◽  
Traffic Disturbance

The introduction of connected vehicles, connected and automated vehicles, and advanced infrastructure sensors will allow the collection of microscopic metrics that can be used for better estimation and prediction of traffic performance. This study examines the use of disturbance metrics in combination with the macroscopic metrics usually used for the estimation of traffic safety and mobility. The disturbance metrics used are the number of oscillations and a measure of disturbance durations in the time exposed time to collision. The study investigates using the disturbance metrics in data clustering for better off-line categorization of traffic states. In addition, the study uses machine-learning based classifiers for the recognition and prediction of the traffic state and safety in real-time operations. The study also demonstrates that the disturbance metrics investigated are significantly related to crashes. Thus, this study recommends the use of these metrics as part of decision tools that support the activation of transportation management strategies to reduce the probability of traffic breakdown, ease traffic disturbances, and reduce the probability of crashes.

Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups

2021 ◽  
Vol 163 ◽  
pp. 106421
Author(s):  
Wanjing Ma ◽  
Ziliang He ◽  
Ling Wang ◽  
Mohamed Abdel-Aty ◽  
Chunhui Yu
Keyword(s):  
Risk Prediction ◽  
Traffic Management ◽  
Management Strategies ◽  
Crash Risk ◽  
Moving Vehicle

Feasibility Study of Traffic Signals at Intersections in Peshawar, Pakistan

2012 ◽  
Vol 253-255 ◽  
pp. 1645-1649
Author(s):  
Rawid Khan ◽  
Ghulam Dastagir ◽  
Omar Shahid ◽  
Zeeshan Ahmed ◽  
Bashir Alam
Keyword(s):  
Traffic Management ◽  
Management Strategies ◽  
Traffic Signals ◽  
Level Of Service ◽  
Signal Timing ◽  
Traffic Data ◽  
Ongoing Research ◽  
The Road ◽  
Micro Simulation ◽  
Signal Time

The paper is part of an ongoing research project on traffic management strategies for Peshawar Pakistan. Traffic data collected and warrant tests checked at selected intersections. Peak hour vehicular volume warrant test selected and performed at intersections. Signal timing capacity and delay analysis performed and level of service determined for selected intersection. It was found that “for the same width of the road” the delay and level of service is different at different locations and the corresponding signal time is also different. Some data also analysed in 3D micro simulation.

Freeway Traffic Management Strategy Expert Systems

1994 ◽  
Vol 27 (12) ◽  
pp. 317-321
Author(s):  
Edmond Chin-Ping Chang ◽  
K.K. Ho
Keyword(s):  
Expert Systems ◽  
Traffic Management ◽  
Management Strategy ◽  
Freeway Traffic

Freeway Traffic Management and Control

2009 ◽  
pp. 3943-3964 ◽  
Author(s):  
A. Hegyi ◽  
T. Bellemans ◽  
B. De Schutter
Keyword(s):  
Traffic Management ◽  
Freeway Traffic ◽  
And Control

scholarly journals Capacity Analysis for Approach Channels Shared by LNG Carriers

2020 ◽  
Vol 8 (9) ◽  
pp. 697
Author(s):  
Xiang Gao ◽  
Linying Chen ◽  
Pengfei Chen ◽  
Yu Luo ◽  
Junmin Mou
Keyword(s):  
Traffic Management ◽  
Time Windows ◽  
Management Strategies ◽  
Capacity Analysis ◽  
Behavioral Characteristics ◽  
Traffic Capacity ◽  
Approach Channel ◽  
General Cargo ◽  
The Impact

The transport of liquefied natural gas (LNG) has significant impact on traffic capacity of waterways, especially the approach channels shared by LNG carriers and other types of ships (general cargo ships, container ships, etc.). Few studies take the behavioral characteristics of LNG carriers and their impacts into consideration. In this paper, we propose a framework for capacity analysis of shared approach channels based on the spatial–temporal consumption method. It consists of three modules: (1) the tide module predicts the tidal height and tidal time for identifying the time windows for LNG carriers; (2) the spatial–temporal consumption module is introduced to calculate the capacity of approach channels; (3) the LNG carrier navigation module is for analyzing the characteristics of LNG carriers and the impact on the capacity of approach channels. A spatial–temporal indexed chart is designed to visualize the utilization of the spatial–temporal resources. A case study on the approach channel of Yueqing Bay near the east coast of China is conducted to verify the effectiveness of the framework. The utilization rates of the approach channel and the impact of LNG carriers are presented using our method. The results of the case study indicate that the proposed traffic capacity analyzing framework can provide support for making traffic management strategies.

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