A Robust Optimization Approach to Public Transit Mobile Real-time Information
| Autor: | Nannan Lin, Xiaoxuan Chen, Weimin Ma, Wenfen Zhang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Operations research
Linear programming Computer science 020209 energy robust optimization Ocean Engineering 02 engineering and technology Information accuracy mobile app 0502 economics and business 0202 electrical engineering electronic engineering information engineering Real-time data Engineering (miscellaneous) Transit (satellite) Civil and Structural Engineering 050210 logistics & transportation business.industry 05 social sciences lcsh:TA1001-1280 Process (computing) Robust optimization real-time information Order (business) Public transport lcsh:Transportation engineering business public transit |
| Zdroj: | Promet-Traffic&Transportation Volume 30 Issue 5 Promet (Zagreb), Vol 30, Iss 5, Pp 501-512 (2018) |
| ISSN: | 1848-4069 0353-5320 |
| DOI: | 10.7307/ptt.v30i5.2609 |
| Popis: | In the past few years, numerous mobile applications have made it possible for public transit passengers to find routes and learn about the expected arrival times of their transit vehicles. Previous studies show that provision of accurate real-time bus information is vital to passengers for reducing their anxieties and wait times at bus stops. Inadequate and/or inaccurate real-time information not only confuses passengers but also reinforces the bad image of public transit. However, almost all methods of real-time information optimization are aimed at predicting bus arrival or travel times. In order to make up for the lack of information accuracy, this paper proposes a new approach to optimize mobile real-time information for each transit route based on robust linear optimization. An error estimation is added to current bus arrival time information as a new element of mobile bus applications. The proof process of the robust optimization model is also presented in this paper. In the end, the model is tested on two comparable bus routes in Shanghai. The real-time information for these two routes was obtained from Shanghai Bus, a mobile application used in Shanghai City. The test results reflect the validity, disadvantages, and risk costs of the model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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