Technology-Intensive System of Parking - Example

Business Plan Student’s Name University Affiliation Business Plan Technology-intensive System of Parking Our business plan will experience numerous risks comprising security risks, operational risks (in case of system failures) and strategic challenges. Various contingency approaches will be optimized to handle the various potential challenges. The main assumptions of our ‘technology-intensive’ (are that the service is anticipated to direct and take the requests and admit them and that the system is anticipated to be in installed place to act. Motor Cyber Security Vulnerabilities Given that the system optimizes technology, the system faces increasing cyber security dangers. In the digital era, “motorized computing” renders ‘endpoint security’ a mole target, which affects the automobile industry (Jung 2006). When many cars are being interweaved into a network comprising connected gadgets to the internet, and the rising integration of vehicle technology systems, there is hope that vehicles with these connections will be more efficient in optimization to the users (Moran & Meiners, 2006). Nonetheless, the new system simultaneously augments numerous concerns regarding privacy and cyber safety. Despite the rise of safe, secure, and technical systems, there are still numerous security vulnerabilities in almost all internet-linked components, which are incorporated in automobiles in different places. These vulnerabilities are not an exception in our technology-intensive parking model. Currently, the country lacks an efficient, secure-centric, framework and infrastructure for the motor industry. Without incorporated, efficient, and secure frameworks for managing risks, tools, processes, and infrastructure, there are potentials for cyber-attacks to the system. Moreover, internet code, linked gadgets, and digital technologies appear to be setting a perfect grounding for cyber-risks, and espionage (Subramani, 2012). The present digital era has raised concern on the reality facing cars connected to technology systems with security breaches becoming more commonplace. The rise in technology systems for cars has been an opening for cyber criminals who have gained the ability to control automobiles remotely (Jung 2006). Thus, the cyber criminals can assume control of the car – influence the steering, accelerate the car, switch the engine off or activate brakes. Operational Challenges Despite the developments of our technology-driven parking assistant model similarly to other technological systems, no aspect of the systems has ever attempted to fully accomplish that, which the human driver can using his eyes, concerning examining the immediate need for path and speed control (Banerjee & Al-Qaheri, 2011). Instead, the outstanding human visual performance capabilities and the advanced cognitive abilities through which risk assuming is judged, and adaptation happens clearly explain the success of the automobile under human influence. Therefore, it is a bold proposal that automotive expertise would supplement the functional opportunity formerly engaged only by human cognitive ability and perception. The operation becomes additionally complex when users are provided with extra in-vehicle information, which unless meticulously designed, compromise the safety and efficiency of the driver. Strategic Challenges There are some strategic challenges, which might influence the success of the technology-driven parking system. These challenges are largely externally driven (Moran & Meiners, 2006). Despite the benefits provided by the system, some external factors may pose a challenge. For instance, the polycentric and lineal metropolitan configuration lends exceptional urban planning challenges (James et al., 2005). New growing pressures of congestion will affect the ability to provide more operational solutions as the pressure will be mounted on the finite roads, footpath and kerbside space with augmenting demands for refined amenity, mobility and access in parking centers. Moreover, there are demands for wider and improved footpaths, landscaping and street-scaping, the necessity for access to driveways, loading zones, bus zones, parking, and taxi zones, rising car traffic, crossing spaces for pedestrians, and slip lanes (Subramani, 2012). These necessities ought to be balanced with parking. Inefficient management of parking and kerbside augments traffic congestion. Thus, driving for parking during busy periods will challenge the use of the technology due to congested local streets and minimized amenity. Proposed Incident Plan to Avert the Risks and Problems Each of the unique risks likely to hinder the operationalization of our model will be addressed with specific applicable measures. In order to eliminate the cyber security threats, the system will need to integrate the best-secured systems of authentication in the industry. Whereas powerful auto security is needed to maintain the expected trust of clients and integrity of the vehicles and its components, the kerbside parking system should consider and address the mounting concerns of the security of the vehicle security risks (Banerjee & Al-Qaheri, 2011). The system will integrate security features to prevent intrusion from some existing devices, which can attack the car’s technology systems and let the hacker operate the vehicle remotely. Therefore, a part of the contingency plan will be to identify interdependent and autonomous risks facing the new model. Whereas the automobile sector has some security dangers, which it can address independently, there are also numerous security elements, which are inter-dependent. Nonetheless, our product will take responsibility for interdependent car security dangers. Our design will seek collaborations with some auto industry associates documented in the best-practice recommendations that outline the way carmakers and the industry can create the best mechanisms for the automobiles for cyber-safety and privacy (Bishop, 2005). Whereas Carmakers maintain their role to recognize and address possible cyber-security issues and have stated a sector-wide effort to recognize emerging risks and possible enemies, the reality remains that our model’s security features will put in place measures for controlling the cyber safety challenges (Geronimo et al., 2009). In terms of the operational challenges, the drivers will need to take their initiative of checking and operating the system and to work towards identifying the appropriate park spaces. In terms of the issue of parking, our Kerbside technology system of parking will integrate a technology-based app, which will enable drivers to access available spaces of parking cars or even allow private residents to vend or barter their kerbside or driveway space. Recent developments in incorporated wireless parking technologies will be integrated to enable a more prudent parking approach. In-ground sensors will be put in place to provide real place and time data to inform pricing and regulation to guarantee the efficient utility of finite kerbside space (Moran & Meiners, 2006). The integrated in-ground will not only provide real information on the utility of every motor vehicle park but will also informs the sale of pricing and regulation level of parking to guarantee the maximum and optimal utility of each space. Most importantly, the kerbside parking assistant model will provide more customer service benefits comprising card, cash, and mobile phone top-up or payment options for parking meters. This will also include an SMS service to mobiles to prevent overstaying, electronic signage, and mobile apps giving real-time information (Moran, 2006). Added on these will be openings for multifunctional parking sentinels on the streets, which can vend transport tickets for the public. Thus, the integrated parking innovations will enable the development of policies of determining the buying, pricing, and charging of parking spaces is bought, managed, priced and charged. References Banerjee, S., & Al-Qaheri, H. (2011). An intelligent hybrid scheme for optimizing parking space: A Tabu metaphor and rough set based approach. Egyptian Informatics Journal, 12(1), 9-17. Bishop, R. (2005). Intelligent vehicle technology and trends. Norwood, MA: Artech House Publishers. Geronimo, D., Lopez, A. M., Sappa, A. D., & Graf, T. (2009). Survey of pedestrian detection for advanced driver assistance systems. IEEE Transactions on Pattern Analysis & Machine Intelligence, (7), 1239-1258. James, K., Fitzpatrick, L., Lewis, H., & Sonneveld, K. (2005). Sustainable packaging systems development. Handbook on Sustainability Research. 66(3), 178-200. Jung, H. G., Choi, C. G., Kim, D. S., & Yoon, P. J. (2006). System configuration of intelligent parking assistant system. Proc. 13th World Congr. Intell. Transport System Services, 8-12. Moran, T. (2006). Self-parking technology hits the market. Automotive News, 81(6227). Moran, T., & Meiners, J. (2006). The arrival of problem-free parking. Autom. News Eur, 11(24), 8. Subramani, T. (2012). Parking Study on Main Corridors in Major Urban Centre. International Journal of Modern Engineering Research (IJMER), ISSN, 2249-6645. Read More