EURO 2025 Leeds
Abstract Submission

591. Optimal Resource Allocation for Enhancing Road Safety

Invited abstract in session TA-59: Road network optimization, monitoring and control, stream Transportation.

Tuesday, 8:30-10:00
Room: Liberty 1.14

Authors (first author is the speaker)

1. Michael Dreyfuss
Industrial Engineering, Jerusalem College of Technology

Abstract

This study analyzes the current Israeli public–private partnership
(PPP) project of automatic enforcement cameras. There
are fewer cameras than poles in Israeli law enforcement;
therefore, the cameras are moved between the poles. First,
the authors present a linear programming approach (mobility
model) to determine the optimal allocation of cameras on the
poles based on road crash data and geographical constraints.
Second, the authors determine the optimal number of cameras
to buy and number of movements required (cameramovement
tradeoff model). Third, the authors use a
Monte–Carlo simulation of the camera failures to define an
optimal inventory policy (inventory model). The authors demonstrate
that applying the outcomes of the mobility model
results in a 25% enhancement (from 55% to 80%) of road
crash coverage. The results of the camera-movement tradeoff
model indicate that when the movements are relatively inexpensive
(a movement costs less than 10% of the price of a
camera), it is not worthwhile to buy new cameras. Finally, the
results of the inventory model show that a repair period of 1
or 2 months does not seriously decrease the road crash coverage,
and thus, for any future PPP project, it is unnecessary to
insist that the repairs be completed within 2 months.

Keywords

Status: accepted

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