Optimization Model of Network‐Level Pavement Maintenance Decision considering User Travel Time and Vehicle Fuel Consumption Costs

Advances in Civil Engineering, vol. 2021

Abstract

The maintenance management decisions of network‐level asphalt pavements have long been a challenge to highway agencies, and a great amount of factors have been involved. In this study, a network‐level optimization method was established by integrating the maintenance benefits into the zero‐one programming optimization model. An optimized performance evaluation method of asphalt pavement was proposed which contains 11 different kinds of combinations. The benefit model quantifies the cost savings of user travel time and vehicle fuel consumption to the pavement condition index (PCI) and ride quality index (RQI), respectively. Based on the simplified evaluation method as well as the quantified maintenance benefit model, an optimization model was established by employing the zero‐one programming. This optimization model aimed to maximize the improvements/price ratio of pavement maintenance for the whole pavement network. The calculation results present the optimal strategies of maintenance for every road section in the network. The applicability of the newly proposed model was validated by a case study. The methodology developed in this study helps to offer guidelines to highway agencies in managing and making decisions about network‐level pavement maintenance.

Authors 4

1. Leilei Chen

   Ministry of Transport · Southeast University

   Affiliation as printed

   Intelligent Transportation System Research Center, Southeast University, Nanjing, China seu.edu.bd

   Key Laboratory of Safety and Risk Management on Transport Infrastructures, Ministry of Transport, Southeast University, Nanjing, China moc.gov.cn

   Intelligent Transportation System Research Center, Southeast University, Nanjing, China

   Key Laboratory of Safety and Risk Management on Transport Infrastructures, Ministry of Transport, Southeast University, Nanjing, China

2. Zepeng Fan corresponding Aachen Institute of Highway Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute of Highway Engineering, RWTH Aachen University, Aachen, Germany rwth-aachen.de

   Institute of Highway Engineering, RWTH Aachen University, Aachen, Germany

3. Pengfei Liu Aachen Institute of Highway Engineering

   RWTH Aachen University

   Affiliation as printed

   Institute of Highway Engineering, RWTH Aachen University, Aachen, Germany rwth-aachen.de

   Institute of Highway Engineering, RWTH Aachen University, Aachen, Germany

4. Zhendong Qian

   Ministry of Transport · Southeast University

   Affiliation as printed

   Key Laboratory of Safety and Risk Management on Transport Infrastructures, Ministry of Transport, Southeast University, Nanjing, China moc.gov.cn

   Key Laboratory of Safety and Risk Management on Transport Infrastructures, Ministry of Transport, Southeast University, Nanjing, China