Experimental evaluation of integrated DSRC and Wi-Fi systems for intelligent transportation systems
| dc.contributor.advisor | Dias, SAD | |
| dc.contributor.advisor | Samarasinghe, TN | |
| dc.contributor.author | Wickramaarachchi, TC | |
| dc.date.accept | 2025 | |
| dc.date.accessioned | 2026-08-18T09:57:07Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The high initial and maintenance costs of standard Dedicated Short-Range Communications (DSRC) and cellular V2X systems pose a significant barrier to the imple mentation of Intelligent Transportation Systems (ITS), particularly in low- and middle income countries where road safety is a critical requirement. This thesis addresses the necessity for cost-effective V2X solutions by developing and experimentally evaluat ing a DSRC/Wi-Fi integrated communication system. The system leverages low-cost Wi-Fi (IEEE 802.11 n) technology, which shares protocol similarities with DSRC, utilizing economic devices such as the ESP32 System-on-Chip (SoC). The cost of in tegrating the Wi-Fi subsystem is less than 30 USD. The proposed architecture integrates commercial DSRC devices with the low-cost Wi-Fi subsystems, connected via an Ethernet link, to deliver information for appli cations such as Active Road Signs (ARS). System performance was evaluated using critical vehicular communication metrics: • Packet Delivery Ratio (PDR) • Maximum Range (MR) • Effective Range (ER) • Packet Interarrival Time (PIT) Empirical evaluation demonstrated that the system is a viable solution for many ITS applications, confirming a MR above 300m and an Effective Range (ER), defined as the range where PDR is above 50%, of approximately 200m. Crucially, the probabil ity of situation awareness blackouts (PIT> ls) was found to be negligibly small. To assist designers in selecting optimal parameters, a model was developed using a Bi directional Long Short-Term Memory (Bi-LSTM) neural network to predict system performance (PIT) based on variables such as distance, speed, RSSI, and beacon inter val. This work confirms that the novel dual communication system offers a practical, low-cost pathway for extending V2X capabilities. | |
| dc.identifier.accno | TH6184 | |
| dc.identifier.citation | Wickramaarachchi, T.C. (2025). Experimental evaluation of integrated DSRC and Wi-Fi systems for intelligent transportation systems [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. https://dl.lib.uom.lk/handle/123/25496 | |
| dc.identifier.degree | MSc (Major Component Research) | |
| dc.identifier.department | Department of Electronic & Telecommunication | |
| dc.identifier.faculty | Engineering | |
| dc.identifier.uri | https://dl.lib.uom.lk/handle/123/25496 | |
| dc.language.iso | en | |
| dc.subject | INTELLIGENT TRANSPORT SYSTEMS | |
| dc.subject | WIRELESS COMMUNICATION SYSTEMS | |
| dc.subject | TRAFFIC SIGNS AND SIGNALS | |
| dc.subject | VEHICLE-TO-EVERYTHING (V2X) COMMUNICATIONS | |
| dc.subject | MSc (MAJOR COMPONENT RESEARCH)-Dissertations | |
| dc.subject | ELECTRONIC AND TELECOMMUNICATION-Dissertations | |
| dc.subject | MSc (Major Component Research) | |
| dc.title | Experimental evaluation of integrated DSRC and Wi-Fi systems for intelligent transportation systems | |
| dc.type | Thesis-Full-text |
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