Examining Route Diversion And Multiple Ramp Metering Strategies For Reducing Real Time Crash Risk On Urban Freeways


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Examining Route Diversion and Multiple Ramp Metering Strategies for Reducing Real-time Crash Risk on Urban Freeways


Examining Route Diversion and Multiple Ramp Metering Strategies for Reducing Real-time Crash Risk on Urban Freeways

Author: Vikash V. Gayah

language: en

Publisher:

Release Date: 2006


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It should also be noted that both route diversion and ramp metering were found to increase the overall network travel time. However, the best route diversion and ramp metering strategies were selected to ensure that the operational capabilities of the network were not sacrificed in order to increase the safety along the freeway. This was done by setting the maximum allowable travel time increase at 5% for any of the ITS strategies considered.

Exploring the Potential of Combining Ramp Metering and Variable Speed Limit Strategies for Alleviating Real-time Crash Risk on Urban Freeways


Exploring the Potential of Combining Ramp Metering and Variable Speed Limit Strategies for Alleviating Real-time Crash Risk on Urban Freeways

Author: Kirolos Maged Haleem

language: en

Publisher:

Release Date: 2007


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In summary, Ramp Metering was more beneficial at congested situations, while Variable Speed Limits were more beneficial at free-flow conditions. At conditions approaching congestion, the combination of Ramp Metering and Variable Speed Limits produced the best benefits. These results illustrate the significant potential of ITS strategies to improve the safety and efficiency of urban freeways.

Evaluating Ramp Metering and Variable Speed Limits to Reduce Crash Potential on Congested Freeways Using Micro-simulation


Evaluating Ramp Metering and Variable Speed Limits to Reduce Crash Potential on Congested Freeways Using Micro-simulation

Author: Albinder Singh Dhindsa

language: en

Publisher:

Release Date: 2005


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Recent research at UCF into defining surrogate measures for identifying crash prone conditions on freeways has led to the introduction of several statistical models which can flag such conditions with a good degree of accuracy. Outputs from these models have the potential to be used as real-time safety measures on freeways. They may also act as the basis for the evaluation of several intervention strategies that might help in the mitigation of risk of crashes.