1. Executive Summary
Smart traffic lights are a product innovation designed to help alleviate and mitigate traffic congestion. Traffic congestion is particularly troublesome in large cities as it results to large amounts of productivity loss through various delays. Congestion can also adversely impact the environment as vehicles are in operation much longer that should otherwise be warranted through the use of smart traffic lights. This contributes to higher costs associated with wear and tear on both vehicles and roadway infrastructure.
Smart traffic lights are used to help lower congestion by using artificial intelligence and data analytics to proper regulate traffic flow. Through proper regulation of traffic flow, congestion can be reduced allowing for a much more seamless travel and commute experience. In addition, smart traffic lights can help reduce the impact on carbon emissions on the environment by lowering the overall time vehicles are operated on the road (Dhole, 2014).
2. Company Description
Blyncsy is a privately company that operates a network of traffic sensors that are used to measure congestion within urban areas. The company leverages a variety of technologies to help monitor congestion. In certain cities the company leverages electronic signals from mobile devises to measure traffic. The network of devises is stored within protective cubes and mounted on traffic lights. Through internal analytics that company can then measure congestion, lower energy costs, monitor pollution, monitor roadway and infrastructure damage. This data is that used by various transformation departments, engineers, and planners to make better informed infrastructure decisions (Tian, 2018).
3. Strategic Focus and Plan
The mission of Blyncsy is to alleviated the burden place on infrastructure. The vision of the company is to become the premier, data driven, infrastructure monitoring company in the world.
The goals of the company are first to continue expand its network of traffic and weather monitoring products throughout the nation. In addition, the goal of the company is to continue its fund-raising efforts as the company is currently not profitable. In addition, the goal of the company is also to provide expanded services to achieve economies of scale.
The core competency of the company is its proprietary software and hardware. Here, the company has unique and patented products that help to mitigate of imitation products. The competitive advantage of the firm is its ability to establish strong connections with municipal planners...
…2021. Sales revenue growth moderated somewhat in 2021 due in part to the COVID-19 pandemic and governments using their budgets to focus on more urgent matters such as COVID-19 testing, personal protective equipment investments, and healthcare investments.8. Organizational Structure
The organizational structure is extremely flat and decentralized. The primary and largest departments are related to sales and product development. The CEO oversees the strategic direction of the firm and guides the sales and product development teams. Each department has a department head in charges of strategic leadership.
9. Implementation
Implementation of product improvements and innovations are first tested extensively internally. Once the implementation process of the product is improved, it is then sent to the legal department to ensure it complies with all applicable laws and regulations. Once this step of the implementation process is completed, the company then engages with clients on a test basis to elicit any feedback and product improvements. Finally, once the feedback is taken into account the product innovation is rolled out on a worldwide basis.
10. Evaluation and Controls
The company leverages strong internal controls which revolve mostly around privacy and security concerns. Management heavily restricts access to private and proprietary data that can…
References
1. Dhole, Rahul & Undre, Vishal & Deshmukh, Ashish & Pawale, Satish & Solanki, Chetan. (2014). Smart Traffic Signal.
2. Tian, Daxin & Wei, Yu & Zhou, Jianshan & Kunxian, Zheng & Duan, Xuting & Wang, Yunpeng & Wang, Wenyang & Hui, Rong & Guo, Peng. (2018). Swarm Intelligence Inspired Adaptive Traffic Control for Traffic Networks. 10.1007/978-3-319-74176-5_1.
3. Tubaishat, Malik & Shang, Yi & Shi, Hongchi. (2007). Adaptive Traffic Light Control with Wireless Sensor Networks. 2007 4th Annual IEEE Consumer Communications and Networking Conference, CCNC 2007. 10.1109/CCNC.2007.44.
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