The capabilities of OpenAI’s artificial intelligence chatbot Chat GPT, have been well documented since its release in late 2022. It’s entirely possible that Chat GPT, the fastest-growing consumer software application in history, may have written this article that you are reading now (spoiler alert: it didn’t, there is a human being typing this), such is its ability to allow users to navigate a ‘conversation’ towards a contextually predetermined subject, length, level of detail, style and language.
Given the extraordinary pace of Chat GPT’s development and progress, it is perhaps no surprise that OpenAI's newest version, Chat GPT-4, has been equipped with the capability to access the Internet. This latest mind-bending update enables the model to utilize over 70 third-party browser plugins, providing users with a dizzyingly wide array of functionalities. Now imagine autonomous driving technology empowered with this rapidly advancing capability, thereby reshaping the future of transport routing and systems of mobility.
Given the extraordinary pace of Chat GPT’s development and progress, it is perhaps no surprise that OpenAI's newest version has been equipped with the capability to access the Internet
Natural Progression
The chatbot’s natural language processing (NLP) model is responsible for this great leap forward and with it Open AI has crafted a powerful deep learning model that is revolutionizing everything, even the way autonomous vehicles and machines interact with their environment.
The basis of GPT-4's advancement is centred around an NLP that uses a “transformer” architecture to generate natural language responses to queries and scenarios it is presented with. With this technology, autonomous vehicles are better-enabled to understand the environment around them multi-dimensionally by interpretation of text and recognition of spoken commands. This, essentially, aids the vehicle to identify objects in the environment and respond with the appropriate and consequent action. In the event of the vehicle encountering an obstacle, GPT-4's NPL can generate a natural language command based on studying the scene and therefore instruct the car to stop, slow down or seek another route to continue its journey.
The Reality of Its Surroundings
Anticipation sensitivity and response to hazards is another plus in the GPT-4’s portfolio of interventions. With the capacity to analyse the environment for any signs of danger, GPT-4 via its NPL can generate commands that can direct or can redirect the vehicle to undertake actions that are necessary to evade the encountered object or situation. Such AI composure goes a long way in keeping the vehicle's occupants, pedestrians and surrounding vehicles safe from hazards of different forms.
Anticipation sensitivity and response to hazards is another plus in the GPT-4’s portfolio of interventions
In addition to the luxury of safety, the GPT-4 model further enhances the passenger experience in ways that were previously unimaginable. For instance, a solar-electric GPT-4-equipped AV can recognise voice commands, as “drive us to the closest charging station” and it will respond with directional options to the nearest location of a charging station as requested. This time-saving capacity is key to shortening our commute.
The Need for Efficiency
Over the last few years, new smart mobility solutions have been rolled out into the market with admirable regularity. One of the catalysts has been the global urban populations explosion. This has prompted a pressing need for more efficient and sustainable solutions that, undoubtedly, GPT-4's NPL development represents. GPT-4's potential for greater incremental advances in the overall improvement of efficiency of transport systems, also means that it will have an impact on the optimisation of routes. GPT-4 will holistically enhance predictive maintenance, create better customer experience, and improve safety and liveability.GPT-4's recent emergence as an AI language model has unearthed the potential to revolutionise urban mobility. GPT-4 is a tool of immense scalability that can generate natural-sounding, human-like text with minimal input, revolutionising urban mobility planning, strategy, management and execution.
GPT-4's recent emergence as an AI language model has unearthed the potential to revolutionise urban mobility
The application of GPT-4 in the urban planning sector is somewhat avante garde, but using GPT-4 planners can quickly generate detailed informatics/infographics on projected urban developments and the potential impacts on traffic and holistic mobility. GPT-4 can de-risk associated large-scale urban projects such as road, housing and bridge construction with the unbundling of outcomes and knowledge of impact assessments.
City Slicker
Another uptick of GPT-4 is better mobility for cities. For example, the AI model can make suggestions for alternative routes for bike lanes or pedestrian crossings and it can also help identify areas where traffic congestion is most likely to occur and create solutions to address the situation and solve the problem.GPT-4's route navigation advantage is optimised to aid the driver. It unburdens the drivers’ onerous task of having to navigate their way around a city as it can be applied to create intelligent route-planning systems that take into account real-time traffic conditions and accident scenes and also offer the alternative routes for a given journey.
Everything discussed above is inclusive of developing intelligent traffic monitoring systems that can help cities better manage traffic flows, leading to far more enjoyable ride experiences, improved safety and less wasted time (and, therefore, money).
