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dc.contributor.author Samarasinghe, T
dc.contributor.author Sandaruwan, R
dc.contributor.author Hemachandra, K
dc.contributor.author Alagiyawanna, I
dc.contributor.author Sandeepa, S
dc.contributor.author Dias, S
dc.contributor.author Wickramarachchi, T
dc.contributor.author Dharmaraj, N
dc.contributor.author Dias, D
dc.contributor.editor Perera, HLK
dc.date.accessioned 2022-05-28T08:32:52Z
dc.date.available 2022-05-28T08:32:52Z
dc.date.issued 2021-10
dc.identifier.citation Samarasinghe, T., Sandaruwan, R., Hemachandra, K., Alagiyawanna, I., Sandeepa, S., Dias, S., Wickramarachchi, T., Dharmaraj, N., & Dias, D. (2021). Enhancing road safety with cost-effective wireless technologies [Abstract]. In H.L.K. Perera (Ed.), Proceedings of the Transportation Research Forum 2021 (pp. 11-12). Department of Civil Engineering, University of Moratuwa. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18009
dc.description.abstract Intelligent Transport System (ITS) applications are imperative for improving safety and efficiency on the road; for instance, accidents at railway and pedestrian crossings with fatal outcomes are frequently reported. According to the Department of Railways, more than 200 deaths due to railway accidents have occurred every year since 2018, and the Ministry of Transport statistics reveal more than 3000 deaths reported annually in road accidents, most of which are due to negligence of drivers and pedestrians. To address this problem, we present Active Road Signs (ARS), a system that delivers roadside alerts to the interior of vehicles in the vicinity, for the immediate attention of drivers. Alerts may include information such as a signal light about to turn red, a train approaching a level crossing, a dangerous bend, or pedestrians waiting to cross a road. We also demonstrate that ARS can be implemented with low-cost, offthe- shelf components. ARS consists of two components; sensing for the acquisition of dynamic roadside information, and communication, to relay the sensed information to relevant road users. The sensed information can be used locally, for example, to control signal timing for pedestrians at an intersection. Similarly, the information may also be conveyed to alert vehicles, for example, at a railway crossing. To illustrate ARS, we present a pedestrian safety application based on a novel use of the ubiquitous WiFi technology. Pedestrians are detected through a wireless mechanism, and alerts are conveyed to approaching vehicles. WiFi Channel State Information (CSI) processed through a Deep Neural Network (DNN), is used to estimate up to12 waiting pedestrians with 92% accuracy. Our communication technique is capable of relaying the sensed information to a vehicle at a distance of approximately 150m in under 50ms, satisfying the relevant performance standards for ITSs. This allows a vehicle travelling at 50 km/h, a minimum of 2.6s to come to a complete stop at the crossing. The current standard for vehicular communications in ITSs is Dedicated Short Range Communications (DSRC). DSRC is still a costly technology with a low penetration rate even in modern vehicles. Thus it is prohibitive for retrofitting older vehicles, and for three-wheelers and motorcycles. However, WiFi and DSRC standards have a common root. Accordingly, our design and experiments show that WiFi is able to function effectively in ITS applications such as ARS. Traditionally, pedestrian detection is achieved via vision-based techniques which cost approximately 130USD for equipment per installation, while DSRC will add a further 700USD for communication. However, our proposed system with off-the-shelf WiFi components will only cost 76USD for detection and 18USD for delivering warnings to end users. ARS is suitable for suburban or rural settings to reduce the risk of accidents, particularly those involving vulnerable road users. The components of ARS overcome privacy concerns and have no dependency on lighting and weather conditions associated with vision-based techniques. The vehicle-mounted equipment in ARS is affordable to be used even in three-wheelers and motorcycles, statistically the most susceptible to road accidents. en_US
dc.language.iso en en_US
dc.publisher Department of Civil Engineering, University of Moratuwa, Sri Lanka. en_US
dc.subject ITS en_US
dc.subject DSRC en_US
dc.subject WiFi en_US
dc.subject CSI en_US
dc.subject Pedestrian en_US
dc.subject Road signs en_US
dc.title Enhancing road safety with cost-effective wireless technologies en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2021 en_US
dc.identifier.conference Transport Research Forum 2021 en_US
dc.identifier.place Katubedda en_US
dc.identifier.pgnos pp. 11-12 en_US
dc.identifier.proceeding Proceedings of the Transport Research Forum 2021 en_US
dc.identifier.email 160020R@uom.lk en_US
dc.identifier.email tharakas@uom.lk en_US
dc.identifier.email tilan.c.w@gmail.com en_US
dc.identifier.email kasunh@uom.lk en_US
dc.identifier.email 160556N@uom.lk en_US
dc.identifier.email 160552A@uom.lk en_US
dc.identifier.email 160017N@uom.lk en_US
dc.identifier.email 160556N@uom.lk en_US
dc.identifier.email dileeka@uom.lk en_US


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