Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS)

CIVCIK, LEVENT; KOÇAK, SEMİH

Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS)

LEVENT CIVCIK, (Konya Teknik Üniversitesi, Teknik Bilimler Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümü, Konya, Türkiye)

Semih Koçak (Konya Teknik Üniversitesi, Fen Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Konya, Türkiye)

Avrupa Bilim ve Teknoloji Dergisi

6 2

Yıl: 2020 Cilt: 0 Sayı: Ejosat Özel Sayı 2020 (ICCEES) Sayfa Aralığı: 522 - 529 Metin Dili: İngilizce İndeks Tarihi: 02-11-2022

Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS)

Öz:

Travel time plays a major role in handling the traffic rate. Bluetooth technology is one of the approaches this time observable. Traffic tracking, vehicle determination on a certain route, and travel time information can be obtaine dusing the bluetooth data gathered using this tool. The Bluetooth technology will be used to analyze certain features affecting travel time results. Highway travel time can be used as a new and efficient data collection tool through the bluetooth sensors which are widely used today. The central control software system consists of a comprehensive system for storing and organizing data at a central location, processing data in vehicles and displaying it to drivers. The central system architecture can be used to display congested road data to the driver, including scenarios, text messages and visuals, identified by traffic information message signs (VMS), which are also linked to the system on the particular highway via a data fusion process in line with data from a variety of sources, for example sensors. Providing information about travel time distribution, both average and variance, will play a more effective role in drivers' high likelihood of arriving on time and in selecting efficient routes. In order to determine the travel time flow, an inhomogeneous data fusion tracking is performed by combining the scattered collected data with distance detectors. With this method preferred in the research, road travel time flows are determined with the help of sensors. The travel time of the roads without sensors is obtained from the data of GPS- based service providers. In addition to the travel time flow, the Dempster-Shafer theory is combined with the travel time results from the distance sensors. Based on the travel time results obtained, the method of improvement in travel time flow has been developed.

Anahtar Kelime: Travel time Public transport Traffic management Bluetoth sensor Traffic time estimation

Akıllı Trafik Sistemlerinde (ITS), Bluetooth Sensor Verileri Yardımıyla Seyahat Süresi Tahmini Gerçekleştirme

Öz:

Trafik yoğunluğu yönetimi için seyahat süresi önemli bir rol oynar. Bu süreyi saptayabilecek yöntemlerden biri de bluetooth teknolojisidir. Bu yöntemle toplanan bluetooth verileri ile; trafik izleme, belirli bir rotadaki araçları belirleyebilme ve seyahat süresi gibi bilgiler elde edilebilmektedir. Bluetooth teknolojisi ile seyahat süresi verilerini etkileyen belirli özellikler analiz edilmiştir. Günümüzde aktif olarak kullanılan bluetooth sensörleri aracılığıyla, otoyol seyahat süresi yeni ve etkili bir veri toplama aracı olarak kullanılabilmektedir. Merkezi kontrol yazılım sistemi, merkezi konumda verileri toplamak, biçimlendirmek, araçlardaki verileri işlemek ve sürücülere sunmak amacıyla bütünsel bir sistem içermektedir. Merkezi sistem tasarımı, bir veri kaynaştırma işlemi yoluyla, bir dizi kaynaktan örneğin sensorlerden gelen veriler doğrultusunda ilgili otoyol üzerinde yine sisteme bağlı olan trafik bilgilendirme mesaj işaretlerine (VMS) tanımlanan senaryolar, metin mesaj ve görseller olmak üzere sürücüye ilgili tıkanık yol verilerini sunmak için kullanılabilmektedir. Hem ortalama hem de varyans olmak üzere seyahat süresi dağılım bilgilerinin sağlanması, sürücülerin zamanında ulaşma olasılığının yüksek olması ve güvenilir yol seçimlerinde daha etkili bir rol oynayabilmektedir. Seyahat süresi akışını belirleyebilmek için dağınık toplanan verileri, mesafe detektörleriyle birleştirerek homojen olmayan bir veri füzyon takibi yapılmaktadır. Yapılan çalışmada tercih edilen bu yöntemle, yol seyahat süresi akışları sensörler yardımıyla tespit edilmektedir. Sensör bulundurmayan yolların ise seyahat süresi tespiti, GPS tabanlı servis sunucularının verilerinden elde edilmektedir. Seyahat süresi akışında ek olarak Dempster-Shafer teorisi, mesafe sensörlerinden elde edilen seyahat süresi sonuçları ile birleştirilmiştir. Elde edilen seyahat süresi sonucuna bakarak, yol seyahat süresi dağılımlarını iyileştirme yöntemi geliştirilmiştir.

Anahtar Kelime: Trafik yönetimi Bluetooth sensörü Trafik süresi tahmini Seyahat süresi

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	CIVCIK L, KOÇAK S (2020). Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). , 522 - 529.
Chicago	CIVCIK LEVENT,KOÇAK SEMİH Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). (2020): 522 - 529.
MLA	CIVCIK LEVENT,KOÇAK SEMİH Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). , 2020, ss.522 - 529.
AMA	CIVCIK L,KOÇAK S Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). . 2020; 522 - 529.
Vancouver	CIVCIK L,KOÇAK S Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). . 2020; 522 - 529.
IEEE	CIVCIK L,KOÇAK S "Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS)." , ss.522 - 529, 2020.
ISNAD	CIVCIK, LEVENT - KOÇAK, SEMİH. "Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS)". (2020), 522-529.

APA	CIVCIK L, KOÇAK S (2020). Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). Avrupa Bilim ve Teknoloji Dergisi, 0(Ejosat Özel Sayı 2020 (ICCEES)), 522 - 529.
Chicago	CIVCIK LEVENT,KOÇAK SEMİH Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). Avrupa Bilim ve Teknoloji Dergisi 0, no.Ejosat Özel Sayı 2020 (ICCEES) (2020): 522 - 529.
MLA	CIVCIK LEVENT,KOÇAK SEMİH Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). Avrupa Bilim ve Teknoloji Dergisi, vol.0, no.Ejosat Özel Sayı 2020 (ICCEES), 2020, ss.522 - 529.
AMA	CIVCIK L,KOÇAK S Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). Avrupa Bilim ve Teknoloji Dergisi. 2020; 0(Ejosat Özel Sayı 2020 (ICCEES)): 522 - 529.
Vancouver	CIVCIK L,KOÇAK S Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS). Avrupa Bilim ve Teknoloji Dergisi. 2020; 0(Ejosat Özel Sayı 2020 (ICCEES)): 522 - 529.
IEEE	CIVCIK L,KOÇAK S "Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS)." Avrupa Bilim ve Teknoloji Dergisi, 0, ss.522 - 529, 2020.
ISNAD	CIVCIK, LEVENT - KOÇAK, SEMİH. "Travel Time Prediction with Bluetooth Sensor Data in Intelligent Traffic System (ITS)". Avrupa Bilim ve Teknoloji Dergisi Ejosat Özel Sayı 2020 (ICCEES) (2020), 522-529.