Abstract

The implementation of pavement management seems to ignore road safety, with its focus being mainly on infrastructure condition. Safety management as part of pavement management should consider various means of reducing the frequency of vehicle crashes by allocating corrective measures to mitigate accident exposure, as well as reduce accident severity and likelihood. However, it is common that lack of accident records and crash contributing factors impedes incorporating safety into pavement management. This paper presents a case study for the initial development of pavement management systems considering data limitations for 3000 km of Tanzania’s national roads. A performance based optimization utilizes indices for safety and surface condition to allocate corrective measures. A modified Pareto analysis capable of accounting for annual performance and of balancing resources to achieve good surface condition and low levels of safety was applied. Tradeoff analysis for the case study found the need to assign 30% relevance to condition and 70% to road safety. Safety and condition deficiencies were corrected within 5 years with the majority of improvements dedicated to surface treatments and some geometric corrections. Large investments for correcting geo-metric issues were observed in years two and three if more money was made available.

Highlights

  • It is typical for initial implementations of pavement management systems to face shortages of data

  • This paper has illustrated the initial development of a network level lifecycle-optimization for road safety and pavement condition

  • Ability to predict long term road safety deficiencies was limited to site-specific characteristics which can only be learnt from safety audits

Read more

Summary

Introduction

It is typical for initial implementations of pavement management systems to face shortages of data. Even if an agency has a track record of collected data, it is not rare that at the time of implementation, new needs for data may appear At such a point two decisions are possible: to collect the required data (extending a few additional years), or to use what is available to obtain a first cut model. Such an initial model is valuable to demonstrate the advantages of implementing a management system, and should be improved as new data becomes available in future periods. This approach is deficient as it lacks of a consideration of the ample full range of factors related to accident likelihood, exposure and severity

Methods
Results
Conclusion

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.