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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
An Active Traffic Management plan's primary objective is to reduce traffic congestion, but it can also be used to control traffic around an event. In order to allow machine learning that is both quicker and more accurate, quantum-enhanced machine learning aims to design and employ quantum computing algorithms.
Connected CCTV cameras with HD footage fuel contemporary traffic incident management systems (TIMs). abilities of computer vision for picture detection and identification.
The Global Quantum-enhanced urban traffic management system market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Volkswagen utilised the power of quantum computing with the assistance of D-Wave in order to develop a traffic management system that can more effectively handle transportation data and enhance the performance of fleet services like taxis and public buses.
The present traffic models produced by traditional supercomputers can be replaced by the quantum system. These systems are constrained by their limited capacity to handle multiple tasks at once and the fact that traffic has a lot of moving components that need to be considered, including movement information gathered from smartphones and transmitters in vehicles.
In order to handle and optimise all of that data and produce more precise and timely traffic information, Volkswagen's system employs a quantum algorithm.Roads will run more efficiently as a consequence, according to the company.
There would be less time spent driving around with empty seats if public transportation options could better service passengers. Taxis might arrive at passengers more quickly and reduce wait periods.
Additionally, the algorithm might assist in delivering crucial information to autonomous vehicles as they are introduced to city roadways, directing them along the quickest route and reducing traffic.
Volkswagen's quantum computing approach is more of an idea than an actual implementation. In order to position the project as a profitable business endeavour that could be sold to cities, the company presented it at the WebSummit in Lisbon.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2030 |
21 | Product installation rate by OEM, 2022 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2022 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |