System Analysis for Intelligent Transportation Systems (ITS) in the Scope of Smart City Logistics

Aziz Cumhur Kocalar

Makale detayları

System Analysis for Intelligent Transportation Systems (ITS) in the Scope of Smart City Logistics

Yazarlar:

Aziz Cumhur Kocalar

Yayıncı:

Istanbul University

Ana Başlıklar:

Yöneylem

Dergi:

Journal of Transportation and Logistics Vol.8 Issue 1, pp.73-82

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298125

pISSN:

2459-1718

Anahtar kelimeler:

Özet:

 A complex problem in cities is trafficroad and cargovehicle density. Since trip computers provide very general information about the vehicle and the journey, it will be possible to make an instant travel flow plan and update the situation in an instant if this information can interact with the trafficroad, cargovehicle location data. However, the rate of interaction and depth of data between transportation systems is still unclear and consists of a limited one-way flow of information. This interaction ismore focused on obtaining information and discontinuous discrete time evaluating it with the human factor. But it is known that vehicles will start to be self-directed autonomous in the future, for example unmanned aerial vehicles UAV. Through monitoring and planning, it is evident that these expectations will improve trafficroad, cargovehicle situation interaction, and management infrastructures more effectively. Within the context of smart city logistics, the technologies that prioritize situations of trafficroad, cargovehicleor ITS interaction for shortare the subject of the study. From a relational and comprehensive perspective, it also assesses advancements in other smart solutions about trafficroad, cargovehicle, tracking, andor planning. All these tracking and planning systems are supported by the ITS framework suggested in this study. The network latency issue will no longer exist because Industry 5.0 enables it to be disregarded.

 A complex problem in cities is trafficroad and cargovehicle density. Since trip computers provide very general information about the vehicle and the journey, it will be possible to make an instant travel flow plan and update the situation in an instant if this information can interact with the trafficroad, cargovehicle location data. However, the rate of interaction and depth of data between transportation systems is still unclear and consists of a limited one-way flow of information. This interaction ismore focused on obtaining information and discontinuous discrete time evaluating it with the human factor. But it is known that vehicles will start to be self-directed autonomous in the future, for example unmanned aerial vehicles UAV. Through monitoring and planning, it is evident that these expectations will improve trafficroad, cargovehicle situation interaction, and management infrastructures more effectively. Within the context of smart city logistics, the technologies that prioritize situations of trafficroad, cargovehicleor ITS interaction for shortare the subject of the study. From a relational and comprehensive perspective, it also assesses advancements in other smart solutions about trafficroad, cargovehicle, tracking, andor planning. All these tracking and planning systems are supported by the ITS framework suggested in this study. The network latency issue will no longer exist because Industry 5.0 enables it to be disregarded.

 A complex problem in cities is trafficroad and cargovehicle density. Since trip computers provide very general information about the vehicle and the journey, it will be possible to make an instant travel flow plan and update the situation in an instant if this information can interact with the trafficroad, cargovehicle location data. However, the rate of interaction and depth of data between transportation systems is still unclear and consists of a limited one-way flow of information. This interaction ismore focused on obtaining information and discontinuous discrete time evaluating it with the human factor. But it is known that vehicles will start to be self-directed autonomous in the future, for example unmanned aerial vehicles UAV. Through monitoring and planning, it is evident that these expectations will improve trafficroad, cargovehicle situation interaction, and management infrastructures more effectively. Within the context of smart city logistics, the technologies that prioritize situations of trafficroad, cargovehicleor ITS interaction for shortare the subject of the study. From a relational and comprehensive perspective, it also assesses advancements in other smart solutions about trafficroad, cargovehicle, tracking, andor planning. All these tracking and planning systems are supported by the ITS framework suggested in this study. The network latency issue will no longer exist because Industry 5.0 enables it to be disregarded.

 Şehirlerde trafikyol, kargoaraç yoğunluğu karmaşık bir sorun alanı oluşturmaktadır. Gezi bilgisayarları, araç ve seyahat hakkında oldukça genel bir bilgi verdiği için, bu bilgilerin trafikyol, kargoaraç konum verileri ile etkileşime girilebildiği ölçüde, anlık bir seyahat akış planı yapmak ve durum güncellemek anlık bir şekilde mümkün olacaktır. Ancak, etkileşim hızı ve veri derinliğin günümüzde bile hala oldukça belirsizdir ve genellikle tek yönlü ve sınırlı bir bilgi akışı sağlanmaktadır. Bu etkileşim ise daha çok sınırlı bir bilgi edinmeye ve kesintili ayrık zamanlı değerlendirmeye odaklıdır. Araçların gelecekte ise artık kendi kendine yönlendirilmeye otonom başlayacağı bilinmektedir, örneğin insansız hava araçları İHA. Bu beklentilerin trafikyol, kargoaraç durumu etkileşimi ve yönetim altyapılarını izleme ve planlama eylemleri yoluyla daha etkin bir şekilde iyileştireceği görülmektedir. Çalışma, akıllı şehirlerin lojistiği kapsamında trafikyol, kargoaraç durumunu veya kısaca AUS etkileşimini ön planda tutan teknolojileri araştırıyor. Ayrıca trafikyol, kargoaraç, izlemeplanlama ile ilgili diğer akıllı çözümlerdeki gelişmeleri ilişkisel ve bütünsel bir bakış açısıyla değerlendiriyor. Özellikle afet ve insani yardım lojistiğinin zorlukları ise ancak zamanla belki mikro düzeyde de olsa aşılabilir. Bu çalışmada önerilen AUS çerçevesi, tüm bu izleme ve planlama sistemlerini desteklemektedir. Ağ gecikmesi sorunu da Endüstri 5.0 ile ihmal edilebilecek şekilde artık bir sorun olmaktan çıkacaktır.

Makale detayları

System Analysis for Intelligent Transportation Systems (ITS) in the Scope of Smart City Logistics

Yazarlar:

Aziz Cumhur Kocalar

Yayıncı:

Istanbul University

Ana Başlıklar:

Yöneylem

Dergi:

Journal of Transportation and Logistics Vol.8 Issue 1, pp.73-82

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298125

pISSN:

2459-1718

Smart Logistics

Intelligent Transportation Systems

Roads and Highways

Smart Cities

UrbanismAkıllı Lojistik

Akıllı Ulaşım

Yollar ve Otoyollar

Akıllı Şehirler

Şehircilik

Sayı

Makale detayları

Yazarlar: Aziz Cumhur Kocalar

Yayıncı: Istanbul University

Ana Başlıklar: Yöneylem

Dergi: Journal of Transportation and Logistics Vol.8 Issue 1, pp.73-82

Belge Tipi: Makale

Yayın Tarihi: 10/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001298125

pISSN: 2459-1718

Sayı

Yazarlar:

Aziz Cumhur Kocalar

Yayıncı:

Istanbul University

Ana Başlıklar:

Yöneylem

Dergi:

Journal of Transportation and Logistics Vol.8 Issue 1, pp.73-82

Belge Tipi:

Makale

Yayın Tarihi:

10/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001298125

pISSN:

2459-1718