Modelling Travel Time After Incidents on Freeway Segments in China

The reduction in incident-induced delays on freeways is a main objective of transportation management. The use of travel time estimation model for freeway segments is an important method for estimating delays resulting from incidents on freeways. In this study, freeways with temporary partial lane c...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.162465-162475
Main Authors: Ru, Han, Xu, Jinliang, Duan, Zhihao, Liu, Xingliang, Gao, Chao
Format: Article
Language:English
Subjects:
Accident conditions
Accidents
Bluetooth
BPR functions
Business process re-engineering
Decision making
Delays
Driving conditions
freeway segments
Highways
incidents
Management systems
Real-time systems
Roads
Segments
Traffic
Traffic accidents
Traffic control
Traffic engineering
Traffic information
Traffic speed
Transportation management
Travel time
v/C ratio
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Summary:The reduction in incident-induced delays on freeways is a main objective of transportation management. The use of travel time estimation model for freeway segments is an important method for estimating delays resulting from incidents on freeways. In this study, freeways with temporary partial lane closures were considered to simulate traffic accidents occupying lanes. Travel time, traffic volumes, and speeds under various traffic conditions on a few typical Chinese freeway segments under regular and simulated accident conditions were investigated through field experiments. The collected traffic data collected were used to establish travel time models based on the Bureau of Public Roads (BPR) function for basic freeway segments under both regular and accident conditions, and to obtain the model parameters. The results demonstrate that the calibrated BPR models established in this study fit the data well. In addition, this study proposes an application method for the established travel time models by which variations in travel time can be estimated rapidly and easily. The results of this study can be used to reduce travel time for road users and contribute to decision making of transportation management systems to improve traffic efficiency after incidents.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2951792