Abstract
Advanced Internet of Things (IoT) technology has a profound impact on improving the intelligence level of intelligent transportation systems (ITS) and promoting the sustainable development of urban transportation. However, how to use IoT to process traffic flow and make ITS develop toward automation and global control is still a challenge. Against this backdrop, a prospective traffic controlling model is proposed for ITS based on IoT to enhance the awareness of roads and the responsiveness of transportation system. When traffic congestion events occur, ITS can provide the optimal control strategy of vehicle-to-everything supported vehicles (V2X-supported vehicles) from a macro perspective to control the traffic flow globally and improve traffic efficiency. Specially, the optimal control strategies consider the potential congested road segments caused by congestion propagation. Meanwhile, this article explores the impact of route choice behavior of V2X-supported vehicles on system performance. The simulation results show the optimal control strategies can alleviate congestion effectively and improve transportation system performance significantly by controlling vehicles.
| Original language | English |
|---|---|
| Pages (from-to) | 15842-15854 |
| Number of pages | 13 |
| Journal | IEEE Internet of Things Journal |
| Volume | 11 |
| Issue number | 9 |
| DOIs | |
| State | Published - 1 May 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
Keywords
- Intelligent transportation system
- Internet of Things (IoT)
- route choices
- traffic congestion
- vehicle-toeverything (V2X)-supported vehicles
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