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Dealing with latency effects in travel time prediction on motorways
O'Mahony, Margaret
Real-time traffic information is now a crucial part of operating a road network. The quality, accuracy and reliability of such information is critical to the road operators and users. Real-time travel time prediction methods using Automatic Number Plate Recognition cameras or Bluetooth/Wi-Fi readers that use matching algorithms to generate travel times in real-time can be vulnerable to an inherent latency issue. Measured travel times are based on vehicles that have already completed the journey and may not be representative for users about to commence that same journey. The aim of this research was to identify the latency in travel time prediction, quantify its effect, and develop a model to remove it. Datasets for the M50 motorway in Dublin, Ireland, were used to conduct the analysis. The results show that real-time travel times can be more accurately predicted when combined with historical travel time information. The approach was found to be valid and achievable and the developed tool can predict and inform both road operators and users during regular periods of congestion. The project also identified other data sources, such as real-time Automated Incident Detection (AID) loop data, incident and weather data, that can further enhance the predicted travel time calculation.
Keyword(s): Traffic; Real-time; Travel time; Latency; Motorway; Smart & Sustainable Planet; Transport
Publication Date:
2020
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Institution: Trinity College Dublin
Citation(s): Laoide-Kemp, David and O'Mahony, Margaret, Dealing with latency effects in travel time prediction on motorways, Transportation Engineering, 2, 2020, 100009 1 - 100009 8
Related Link(s): https://www.sciencedirect.com/science/article/pii/S2666691X20300105?via%3Dihub
First Indexed: 2021-02-24 08:07:44 Last Updated: 2021-02-24 08:07:44