ARTÍCULO
TITULO

Potential for ITS/ICT Solutions in Urban Freight Management

Jacek Oskarbski    
Daniel Kaszubowski    

Resumen

The article presents a study on applying ITS solutions in planning and management of urban freight transport in Gdynia. The traffic management system Tristar which is under implementation and its related systems show a potential to assist in development of freight transport measures. Recommendations for urban freight policy development supplementing Gdynia's Sustainable Urban Mobility Plan were used as a basis for identification where ITS/ITC could be implemented. The first stage may involve modelling and analysis of freight vehicle traffic with new multilevel transport model for Gdynia. Other possible measures include, among others provision of dynamic information for vehicle routing and priorities for trucks on selected sections of road network. However, problems with access to reliable data describing delivery vehicle traffic were identified in this early stage as no practical rules for their collection had been developed. Additional problems appear in acquiring urban supply chain characteristics that require collaboration with the private sector. Such studies have not as yet been conducted in Poland. The identified factors indicate the need to precisely specify expected results and the areas of ITS application in Gdynia to prepare for their. Dynamic routing and scheduling with real time information appeared to be the most promising solution applying ITS, with temporary priorities for HGV providing services to the sea port in Gdynia in peak traffic and directing lorries implementation to free parking slots. Experience gained in these applications will be useful in developing other, complex solutions, e.g. in organising distribution in the city centre.

 Artículos similares

       
 
Sergejus Lebedevas and Tomas Cepaitis    
The decarbonization problem of maritime transport and new restrictions on CO2 emissions (MARPOL Annex VI Chapter 4, COM (2021)562) have prompted the development and practical implementation of new decarbonization solutions. One of them, along with the us... ver más

 
Jinjia Zhou and Jian Yang    
Compressive Sensing (CS) has emerged as a transformative technique in image compression, offering innovative solutions to challenges in efficient signal representation and acquisition. This paper provides a comprehensive exploration of the key components... ver más
Revista: Information

 
Afzaal Hassan, Mark Wallace, Irene Moser and Daniel D. Harabor    
Ridesharing effectively tackles urban mobility challenges by providing a service comparable to private vehicles while minimising resource usage. Our research primarily concentrates on dynamic ridesharing, which conventionally involves connecting drivers ... ver más
Revista: Information

 
Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang and Shuxi Wang    
Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective. Data science in finance helps to prov... ver más
Revista: AI

 
Thanda Shwe and Masayoshi Aritsugi    
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a promi... ver más
Revista: Applied Sciences