The Traffic Police Location and Schedule Assignment Problem

The traffic police routine patrol vehicle mission is to provide service to the public, primarily through enforcement of traffic laws and assistance to road users after accidents or other calls for service. An efficient traffic police location and schedule assignment (TPLSAP) across a road network ensures that the traffic police undertake their mission effectively. In the search for effective road network cover solutions, a multiple-objective linear program is developed in the first stage with three distinct objectives. The objective functions maximize the following: (1) traffic police presence and conspicuousness; (2) police presence at blackspots where frequent traffic offences occur; and (3) the time available for proactive work. In the second stage of the TPLSAP formulation, distance and time halo effect integer linear programs produce a detailed, daily shift schedule across the planning horizon. Consequently, we formulate a routine traffic police schedule–location and activity problem, which incorporates road safety recommendations drawn from the literature, police policy and operational constraints. Finally, we apply the formulation to a case study of the interurban road network in Northern Israel, which highlights potential improvements over the current schedules. Copyright © 2014 John Wiley & Sons, Ltd.

[1]  Y. Jafari,et al.  A modified method for constructing efficient solutions structure of MOLP , 2009 .

[2]  Nicole Adler,et al.  Lean management for traffic‐police enforcement planning , 2012 .

[3]  Re-Accessing International Capital Markets After Financial Crises: Some Empirical Evidence , 2007 .

[4]  N. S. Arunraj,et al.  Risk-based maintenance policy selection using AHP and goal programming. , 2010 .

[5]  W. Walker Policy analysis: a systematic approach to supporting policymaking in the public sector , 2000 .

[6]  Warren E. Walker,et al.  Exploratory MCDA for handling deep uncertainties: the case of intelligent speed adaptation implementation , 2010 .

[7]  D W Eby,et al.  Trends in driver and front-right passenger safety belt use in Michigan: 1984-1998. , 2000, Accident; analysis and prevention.

[8]  C J Bester,et al.  Explaining national road fatalities. , 2001, Accident; analysis and prevention.

[9]  Lizhen Shao,et al.  Approximating the nondominated set of an MOLP by approximately solving its dual problem , 2008, Math. Methods Oper. Res..

[10]  C. Lave Speeding, Coordination, and the 55 MPH Limit , 1985 .

[11]  Frank F Saccomanno,et al.  Proactive freeway crash prevention using real-time traffic control , 2003 .

[12]  Dominique Lord,et al.  Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments. , 2005, Accident; analysis and prevention.

[13]  Hillel Bar-Gera,et al.  Evaluation of a Cellular Phone-Based System for Measurements of Traffic Speeds and Travel Times: A Case Study from Israel , 2007 .

[14]  Ingrid van Schagen,et al.  Driving speed and the risk of road crashes: a review. , 2006, Accident; analysis and prevention.

[15]  R. Lin,et al.  An integrated FANP–MOLP for supplier evaluation and order allocation , 2009 .

[16]  David P. Dobkin,et al.  The quickhull algorithm for convex hulls , 1996, TOMS.

[17]  Ward Vanlaar Less is more: the influence of traffic count on drinking and driving behaviour. , 2008, Accident; analysis and prevention.

[18]  A S Hakkert,et al.  The evaluation of effects on driver behavior and accidents of concentrated general enforcement on interurban roads in Israel. , 2001, Accident; analysis and prevention.

[19]  S. W. Lam,et al.  Multiobjective vendor allocation in multiechelon inventory systems: a spreadsheet model , 2006, J. Oper. Res. Soc..

[20]  Tessa K Anderson,et al.  Kernel density estimation and K-means clustering to profile road accident hotspots. , 2009, Accident; analysis and prevention.

[21]  Michael Sivak,et al.  Traffic safety in the U.S.: re-examining major opportunities. , 2007, Journal of safety research.

[22]  Bertrand Mareschal,et al.  The PROMCALC & GAIA decision support system for multicriteria decision aid , 1994, Decis. Support Syst..

[23]  N. C. Simpson,et al.  Fifty years of operational research and emergency response , 2009, J. Oper. Res. Soc..

[24]  Brian L. Smith,et al.  Investigation of the Performance of Wireless Location Technology-Based Traffic Monitoring Systems , 2007 .

[25]  Josias Zietsman,et al.  Developing Sustainable Transportation Performance Measures for TxDOT's Strategic Plan: Technical Report , 2009 .

[26]  T Vaa,et al.  Increased police enforcement: effects on speed. , 1997, Accident; analysis and prevention.

[27]  Adi Raveh,et al.  Co-plot: A graphic display method for geometrical representations of MCDM , 2000, Eur. J. Oper. Res..

[28]  J. Brans,et al.  Geometrical representations for MCDA , 1988 .

[29]  Charles S. ReVelle,et al.  The Location of Emergency Service Facilities , 1971, Oper. Res..

[30]  Ralph E. Steuer,et al.  Multiple criteria decision making combined with finance: A categorized bibliographic study , 2003, Eur. J. Oper. Res..

[31]  Rune Elvik,et al.  Cost-Benefit Analysis of Police Enforcement , 2001 .

[32]  Li-Yen Chang,et al.  Data mining of tree-based models to analyze freeway accident frequency. , 2005, Journal of safety research.

[33]  Ming–Der Li,et al.  Differences in urban and rural accident characteristics and medical service utilization for traffic fatalities in less-motorized societies. , 2008, Journal of safety research.

[34]  Álvaro Gomes,et al.  A multi-objective evolutionary algorithm for reactive power compensation in distribution networks , 2009 .

[35]  L. Guttman A general nonmetric technique for finding the smallest coordinate space for a configuration of points , 1968 .

[36]  Susan A Ferguson,et al.  Why are sobriety checkpoints not widely adopted as an enforcement strategy in the United States? , 2003, Accident; analysis and prevention.

[37]  Rune Elvik,et al.  Effects on accidents of periodic motor vehicle inspection in Norway. , 2007, Accident; analysis and prevention.

[38]  J. A. Rothengatter Police enforcement strategies to reduce traffic casualties in Europe , 1999 .

[39]  A S Hakkert,et al.  Police surveillance methods and police resource allocation models , 1991 .

[40]  Wilfred W Recker,et al.  Freeway safety as a function of traffic flow. , 2002, Accident; analysis and prevention.

[41]  Pekka J. Korhonen,et al.  Resource Allocation Based on Efficiency Analysis , 2004, Manag. Sci..

[42]  N. Garber,et al.  Effect of Speed, Flow, and Geometric Characteristics on Crash Frequency for Two-Lane Highways , 2000 .

[43]  M. Mashinchi,et al.  Determining maximal efficient faces in multiobjective linear programming problem , 2009 .