Multi-Objective Human Resource Allocation Approach for Sustainable Traffic Management

Abstract

Efficient human resource deployment is one of the key aspects of road traffic management for maintaining the lifelines of any metropolitan city. The problem becomes relevant when collaboration between human resources with different skills in day-to-day operations is necessary to maintain public and commercial transport, manage various social events and emergency situations, and hence reduce congestion, injuries, emissions, etc. This study proposes a two-phase fuzzy multi-objective binary programming model for optimal allocation of five different categories of human resources to minimize the overall operational cost, maximize the allocation to accident-prone road segments, minimize the number of volunteer personnel and maximize the direct contact to reduce emissions and road traffic violations, simultaneously. A binary programming model is formulated to provide an efficient individual manpower allocation schedule for multiple road segments at different shifts. A case study is proposed for model evaluation and to derive managerial implications. The proposed model can be used to draw insights into human resource allocation planning in traffic management to reduce road traffic congestion, injuries and vehicular emissions.

Multi-objective modelling of a roadside mowing problem: a case study in France

“…However, it is worthy to note that there is poor literature on this field. Most of the optimisation fields related to the road management and maintenance problem are waste allocation problems [7]- [11], human resource allocation [12], allocating resources [13], [16], highway maintenance [14], [15], winter road maintenance [17], pavement and bridge maintenance [18]. TABLE 1 presents a summary of these most recent works.…”

“…Minimising the cost, CO2, staff personnel Maximising the segment allocation A two-phase fuzzy binary programming model Two-phase MIP programming method [12] Allocating resources to roadside incidents…”

Towards Optimal TMS Integration Scenario Based on HRM and SWOT Analysis

“…Some research can be found in railway [19] and air traffic management [20] fields. The related areas in road traffic management are, for example, the allocation of human resources in sustainable traffic management to obtain a day-to-day manpower allocation schedule [21], emergency response resource allocation [22], and the mathematical model for efficiency optimization by determining the best number of employees for an logistics task [23]. Those studies have a common point; the right number of employees affects the effectiveness of a system.…”