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.

Highlights

  • Efficient traffic management is a major concern for most highly populated cities worldwide, due to the exponential growth of transport and movement of rural population, causing prolonged RoadTraffic Congestion (RTC), Road Traffic Injuries (RTI), vehicular emissions, etc. [1]

  • The efficient allocation of human resources in road traffic management has become a challenging issue for densely populated countries like India, Bangladesh, China, Thailand, Malaysia as well as in several parts of Africa

  • We proposed a multi-objective two-step binary programming model to obtain a day-to-day manpower allocation schedule that minimizes overall expenditure, maximizes traffic personnel allocation in accident-prone road segments, minimizes the hiring number of traffic volunteers and maximizes direct contact to reduce traffic rule violations and vehicular emissions

Read more

Summary

Introduction

Efficient traffic management is a major concern for most highly populated cities worldwide, due to the exponential growth of transport and movement of rural population, causing prolonged Road. In highly populated countries like India, traffic management still remains a major concern because RTI are the sixth leading cause of death in India with a greater share of hospitalization, deaths, disabilities and socio-economic losses [8]. The objective was to find a compromise solution by considering four objectives as follows: (1) total operational cost minimization, (2) maximization of allocation of traffic sergeants to cover accident-prone road segments, (3) minimization of number of volunteer personnel to be used, and (4) maximization of direct contact to reduce vehicular emissions and road traffic rule violations. The main job of volunteers of KTP is to support respective units for traffic management as well as control the road segments during major festivals, meetings, rallies, and demonstrations, etc. A mathematical model is proposed to highlight the characteristics of traffic manpower allocation schemes and explore insights from the perspective of obtaining a decision support scheme for traffic manpower management systems

Literature Review
Mathematical Model
Solution Procedure
Case Study
Findings
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.