As cities become more urbanized, some of the greatest problems exist within already established metropolises, a challenging situation with too much population and too many constructed buildings in one devoted location. The twenty-first century presents challenges such as excessive transportation demand, crime, and inefficient transportation systems. This chapter aligns with integration potential via Artificial Intelligence (AI), the Internet of Things (IoT), and Smart Cities. This chapter presents the need for integration as this study requires IoT devices and cloud-centralized, AI-driven computing for a reliable, scalable, efficient transportation alternative for a population steeped in urbanization. As cities grow, transportation gets more complicated and the best solution is to interconnect the transportation ecosystem. As an example, how New York City's public transportation runs or how traffic lights use sensors to change based on real-time conditions. Interconnecting such a wide ecosystem is an issue in itself where cities still rely on old infrastructure and a well-established communication system is the key requirement of the technical developers and transportation planners to make it all work. Various other factors to consider beyond transportation relate to data privacy and socio-economic development; the recommended solutions emerge so that citizens feel comfortable post-integration. The future of integrated transportation relies on imminent need assessment for conveyance and parking features like autonomous vehicle with a traffic prediction capabilities, green alternatives, and integrated ethics that include all potential smart integrations. This chapter emphasizes that integration has happened effectively in the past, and community engagement forecasts reliable, effective, resilient smart cities with equity always at the forefront.