Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era
| Autor: | Yuxiang Feng, Eduardo Candela, Panagiotis Angeloudis, Simon Stebbins, Qiming Ye, Marc E. J. Stettler |
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| Rok vydání: | 2020 |
| Předmět: |
Technology
050210 logistics & transportation Science & Technology Computer science Transportation Science & Technology 05 social sciences Engineering Electrical & Electronic Transportation 02 engineering and technology Transport engineering Engineering Range (aeronautics) SIMULATION 0502 economics and business 0202 electrical engineering electronic engineering information engineering Benchmark (computing) 020201 artificial intelligence & image processing Intelligent management |
| Zdroj: | ITSC 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC) |
| DOI: | 10.1109/itsc45102.2020.9294527 |
| Popis: | The increasing degree of connectivity between vehicles and infrastructure, and the impending deployment of autonomous vehicles (AV) in urban streets, presents unique opportunities and challenges regarding the on-street parking provision for AVs. This study develops a novel simulation-optimisation approach for intelligent curbside management, based on a metaheuristic technique. The hybrid method balances curb lanes for driving or parking, aiming to minimise the average traffic delay. The model is tested using an idealised grid layout with a range of flow rates and parking policies. Results demonstrate delay decreased by 9%-27% from the benchmark case. Additionally, the traffic delay distribution shows the trade-offs between expanding road capacity and minimising traffic demand through curb management, indicating the interplay between curb parking and traffic management in the AV era. |
| Databáze: | OpenAIRE |
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