scholarly journals Comparison of alternative route selection strategies based on simulation optimization

2016 ◽  
Vol 29 (6) ◽  
pp. 1749-1761 ◽  
Author(s):  
Bojia Ye ◽  
Lance Sherry ◽  
Chun-Hung Chen ◽  
Yong Tian
Keyword(s):  
Simulation Optimization ◽  
Route Selection ◽  
Alternative Route ◽  
Selection Strategies

Diversion from a Rural Work Zone with Traffic-Responsive Variable Message Signage System

2003 ◽  
Vol 1824 (1) ◽  
pp. 23-28 ◽  
Author(s):  
Alan J. Horowitz ◽  
Ian Weisser ◽  
Thomas Notbohm
Keyword(s):  
Work Zone ◽  
Route Selection ◽  
Alternative Route ◽  
Peak Period ◽  
Freeway Traffic ◽  
Arterial Streets ◽  
Before And After ◽  
Signage System ◽  
Rural Work ◽  
Message Signs

An experiment was made to determine the degree of alternative-route selection from a rural freeway that occurs because of implementation of a traffic-responsive variable message signage system in a work zone. The message signs gave real-time estimates of travel time to the end of the work zone. Alternative-route selection was measured through extensive volume counts on the freeway and on parallel arterial streets, both before and after implementation of the signage system. In addition, traffic volumes were measured at a variety of locations where alternativeroute selection was likely to occur and where it was unlikely to occur. Analysis of peak period data found that alternative-route selection rates were between 7% and 10% of the freeway traffic, depending on the location and the day of the week.

Stochastic Simulation Optimization for Route Selection Strategy Based on Flight Delay Cost

2018 ◽  
Vol 35 (06) ◽  
pp. 1850045
Author(s):  
Yong Tian ◽  
Bojia Ye ◽  
Marc Sáez Estupiñá ◽  
Lili Wan
Keyword(s):  
Stochastic Simulation ◽  
Simulation Optimization ◽  
Optimization Technique ◽  
Civil Aviation ◽  
Selection Strategy ◽  
Route Selection ◽  
Full Information ◽  
Adverse Weather ◽  
Delay Cost ◽  
Flight Delay

The continuous and strong growth of the civil aviation in the world combined with the severe adverse weather problem have made necessary the collaboration between the different civil aviation agents to improve the management of the capacity-demand imbalances in the airspace. In this paper, we consider a stochastic simulation optimization problem for air route selection strategy based on flight delay cost. The problem takes consideration of airspace capacity and demand uncertainty, three strategies, including collaborative reroute strategy (CRS), full information reroute strategy (FIRS) and hybrid stated route preference strategy (HSR), are employed to mitigate the flight delay cost. To find the best strategy, a discrete event simulation model is built by Arena Software, and the Monte Carlo method combined with the OCBA simulation optimization technique is employed for assessing a common severe convective weather scenario in the Central and Southern China airspace. Simulation results imply that HSR schemes show better system-wide performance than CRS and FIRS, these benefits are supposed to come from the batch allocations method. Although the airline can receive full information in advance, FIRS does not show obvious advantage in reducing the total airborne waiting time than CRS. For the system-wide performance FIRS is better than CRS, but not as good as HSR.

scholarly journals Exposure to Black Carbon during Bicycle Commuting–Alternative Route Selection

Atmosphere ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 21 ◽  
Author(s):  
Borut Jereb ◽  
Tanja Batkovič ◽  
Luka Herman ◽  
Gregor Šipek ◽  
Špela Kovše ◽  
...  
Keyword(s):  
Black Carbon ◽  
Route Selection ◽  
Alternative Route ◽  
Bicycle Commuting

Identifying route selection strategies in offshore emergency situations using decision trees

2020 ◽  
Vol 194 ◽  
pp. 106179 ◽  
Author(s):  
Mashrura Musharraf ◽  
Jennifer Smith ◽  
Faisal Khan ◽  
Brian Veitch
Keyword(s):  
Decision Trees ◽  
Route Selection ◽  
Emergency Situations ◽  
Selection Strategies
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