Japanese Journal of JSCE
Online ISSN : 2436-6021
Special issue (Infrastructure Planning and Management) Paper
PREDICTION OF DYNAMIC TRAFFIC CONGESTION PREDICTION AND SCHEDULING OPTIMIZATION OF ROAD MAINTENANCE WORKS: A CASE STUDY OF AN INTER-URBAN EXPRESSWAY
Kyoshiro EBASHIYoshiki SUGADaisuke FUKUDA
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2024 Volume 80 Issue 20 Article ID: 24-20078

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Abstract

In view of the future expansion of road maintenance, it is necessary to develop an optimization method for construction management to alleviate traffic congestion. In this study, a congestion forecasting method for intensive construction on the Chuo Expressway of Japan was developed and the optimization of construction management was investigated. The congestion forecasting method is based on a deterministic queueing model and uses the traffic capacity and the five-minute traffic flow predicted by the traffic capacity forecasting model and the traffic flow forecasting model as inputs to calculate the queues every five minutes and predict whether congestion will occur or not. The results showed that, except for traffic jams caused by accidents, all the traffic jams that occurred during the intensive construction period could be predicted. In addition, the genetic algorithm optimized the construction schedule, reducing the average delay time from 8.9 minutes to 2.2 minutes.

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© Japan Society of Civil Engineers
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