Mitigating Congestion Using Environment Protective Dynamic Traffic Orchestration
| Autor: | Panos K. Chrysanthis, Rakan Alseghayer, Daniel Petrov |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
education.field_of_study
Atmosphere (unit) Computer science business.industry Priority scheduling ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Population 020302 automobile design & engineering 02 engineering and technology Transport engineering 0203 mechanical engineering Traffic congestion 020204 information systems Public transport 0202 electrical engineering electronic engineering information engineering Orchestration (computing) business education Dijkstra's algorithm Pace |
| Zdroj: | MDM |
| DOI: | 10.1109/mdm.2019.00125 |
| Popis: | Traffic congestion has a significant negative impact on the accelerating pace of daily human activities. Traffic jams increase the transportation costs for goods and humans. They are also amongst the leading factors for pollution in the atmosphere and consequently increase health risks for the population. One way to reduce the amount of emissions produced by vehicles in traffic jams is to mitigate traffic congestion and promote the usage of public transportation. In this paper, we propose a solution that establishes on-demand, virtual bus lanes to prioritize public transportation over other traffic and provide detour guidelines for other drivers, while causing insignificant detour penalties. Our solution leverages incremental window aggregations to identify the busiest road segments, priority scheduling, and Dijkstra shortest path algorithm to shape and detour traffic. Our experimental evaluation shows the effectiveness of our Environment Protective Traffic Orchestration (EPTrOn) algorithm in identifying and alleviating traffic congestions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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