The Impact of Short Term Traffic Forecasting on the Effectiveness of Vehicles Routes Planning in Urban Areas
| Autor: | Konrad Chwastek, Paweł Więcek, Daniel Kubek |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
050210 logistics & transportation
Basis (linear algebra) Operations research Computer science media_common.quotation_subject 05 social sciences Robust optimization 010501 environmental sciences 01 natural sciences Bicriteria shortest path problem Term (time) Transport engineering Set (abstract data type) Short term traffic forecasting Face (geometry) 0502 economics and business Shortest path problem Quality (business) Dynamism 0105 earth and related environmental sciences media_common |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 2352-1465 |
| DOI: | 10.1016/j.trpro.2016.12.024 |
| Popis: | [EN] An impossibility to foresee in advance the accurate traffic parameters in face of dynamism phenomena in complex transportation system is a one of the major source of uncertainty. The paper presents an approach to robust optimization of logistics vehicle routes in urban areas on the basis of estimated short-term traffic time forecasts in a selected area of the urban road network. The forecast values of optimization parameters have been determined using the spectral analysis model, taking into account the forecast uncertainty degree. The robust counterparts approach of uncertain bi-criteria shortest path problem formulation is used to determining the robust routes for logistics vehicles in the urban network. The uncertainty set is created on the basis of forecast travel times in chosen sections, estimated by means of spectral analysis. The advantages and the characteristics are exemplified in the actual Krakow road network. The obtained data have been compared with classic approach wherein it is assumed that the optimization parameters are certain and accurate. The results obtained in the simulation example indicate that use of forecasting techniques with robust optimization models has a positive impact on the quality of final solutions. |
| Databáze: | OpenAIRE |
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