On the Average Rates of Data Communications' Traffic Flows Problem

In the late 1990s, after Nokia developed the first smartphone (the “Communicator”), executives became increasingly sensitive to the importance of operating systems, data communications, and multimedia. It was also becoming clear that more complex business models would be needed to tap in to new opportunities. This chapter describes and analyzes how Nokia managed this transformation. It describes the development of the Communicator smartphone, the establishment of the Symbian OS, and the creation of an innovative camera phone. As the nature of the industry was changing and becoming more complex, it also looks at how Nokia responded by engaging with a wider ecosystem to develop the visual radio concept. These examples highlight the challenges that the new world of software platforms and application ecosystems raised for Nokia.

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Scalable and QoS-aware Resource Allocation to Heterogeneous Traffic Flows in 5G

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3074111 ◽

2021 ◽

pp. 1-1

Author(s):

Yassine Boujelben

Keyword(s):

Resource Allocation ◽

Heterogeneous Traffic ◽

Traffic Flows

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On prediction of traffic flows in smart cities: a multitask deep learning based approach

World Wide Web ◽

10.1007/s11280-021-00877-4 ◽

2021 ◽

Author(s):

Fucheng Wang ◽

Jiajie Xu ◽

Chengfei Liu ◽

Rui Zhou ◽

Pengpeng Zhao

Keyword(s):

Deep Learning ◽

Smart Cities ◽

Traffic Flows

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Variable Speed Limit and Ramp Metering for Mixed Traffic Flows: A Review and Open Questions

Applied Sciences ◽

10.3390/app11062574 ◽

2021 ◽

Vol 11 (6) ◽

pp. 2574

Author(s):

Filip Vrbanić ◽

Edouard Ivanjko ◽

Krešimir Kušić ◽

Dino Čakija

Keyword(s):

Traffic Control ◽

Ramp Metering ◽

Transport Infrastructure ◽

Control Algorithms ◽

Speed Limit ◽

Mixed Traffic ◽

Traffic Flows ◽

Variable Speed ◽

Variable Speed Limit ◽

Traffic Demand

The trend of increasing traffic demand is causing congestion on existing urban roads, including urban motorways, resulting in a decrease in Level of Service (LoS) and safety, and an increase in fuel consumption. Lack of space and non-compliance with cities’ sustainable urban plans prevent the expansion of new transport infrastructure in some urban areas. To alleviate the aforementioned problems, appropriate solutions come from the domain of Intelligent Transportation Systems by implementing traffic control services. Those services include Variable Speed Limit (VSL) and Ramp Metering (RM) for urban motorways. VSL reduces the speed of incoming vehicles to a bottleneck area, and RM limits the inflow through on-ramps. In addition, with the increasing development of Autonomous Vehicles (AVs) and Connected AVs (CAVs), new opportunities for traffic control are emerging. VSL and RM can reduce traffic congestion on urban motorways, especially so in the case of mixed traffic flows where AVs and CAVs can fully comply with the control system output. Currently, there is no existing overview of control algorithms and applications for VSL and RM in mixed traffic flows. Therefore, we present a comprehensive survey of VSL and RM control algorithms including the most recent reinforcement learning-based approaches. Best practices for mixed traffic flow control are summarized and new viewpoints and future research directions are presented, including an overview of the currently open research questions.

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