Networks announces 2015 Glover-Klingman Prize winners

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  • Author: Statistics Views
  • Date: 05 May 2016

We are proud to announce the winners of the Glover-Klingman Prize for the best paper published in Networks in 2015. This prize pays tribute to the high-quality work at the interface of operations research and computer science pioneered by Fred Glover and Darwin Klingman. However, the award recognizes outstanding work in the general area of network modeling, analysis, and implementation, and is not limited to papers at the OR/CS interface. There were 54 papers published in 2015, and several exceptional papers were nominated by our editorial board. The final selection was made by Bruce L. Golden and Douglas R. Shier, after consultations with the editorial board and outside experts.

thumbnail image: Networks announces 2015 Glover-Klingman Prize winners

The 2015 winners are Nikola Marković, Ilya O. Ryzhov, and Paul Schonfeld. They are to be congratulated for their insightful work entitled “Evasive Flow Capture: Optimal Location of Weigh-in-Motion Systems, Tollbooths, and Security Checkpoints.”

Each author will receive a cash award and a certificate bearing the following citation:

'The flow-capturing problem (FCP) is a class of facility location problems where the facilities are placed to intercept flows moving through a network. In many applications, however, traffic flows are not static and react to the facilities by adjusting their routes in an evasive manner; for example, truckers may deviate from their shortest paths in order to avoid weigh-in-motion sensors, whose locations quickly became common knowledge. In this paper, the authors propose an optimization model specifically intended to intercept evasive flows. The new evasive flow-capturing problem (EFCP) is shown to have substantially more complex structure than the traditional FCP, causing standard FCP heuristics to perform arbitrarily poorly when flows behave evasively. On the other hand, solving the EFCP optimally can produce significant practical benefits over both FCP models and current practice, as evidenced by a case study using real-world traffic networks and flow data.

This well-written paper provides an important contribution that mixes problem investigation and modeling nicely and offers deep insights. As such, it certainly deserves to be the winner of the 2015 Glover-Klingman Prize'.

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