# Evolutionary City: Towards a Flexible, Agile and Symbiotic System

arXiv: https://arxiv.org/abs/2311.14690 · HTML: https://mlsanity.com/paper/2311.14690/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 63 references that are in the map.
- First posted on arXiv 6 Nov 2023.

## Builds on (most cited first, 5 of 5)

- [TransWorldNG: Traffic Simulation via Foundation Model](https://mlsanity.com/paper/2305.15743/) (2023)
- [Boosted Genetic Algorithm using Machine Learning for traffic control optimization](https://mlsanity.com/paper/2103.08317/) (2021)
- [Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization](https://mlsanity.com/paper/2308.03769/) (2023)
- [Linear-Quadratic regulators for internal boundary control of lane-free automated vehicle traffic](https://mlsanity.com/paper/2012.15519/) (2020)
- [IR Design for Application-Specific Natural Language: A Case Study on Traffic Data](https://mlsanity.com/paper/2307.06983/) (2023)

## Abstract (arXiv)

Urban growth sometimes leads to rigid infrastructure that struggles to adapt to changing demand. This paper introduces a novel approach, aiming to enable cities to evolve and respond more effectively to such dynamic demand. It identifies the limitations arising from the complexity and inflexibility of existing urban systems. A framework is presented for enhancing the city's adaptability perception through advanced sensing technologies, conducting parallel simulation via graph-based techniques, and facilitating autonomous decision-making across domains through decentralized and autonomous organization and operation. Notably, a symbiotic mechanism is employed to implement these technologies practically, thereby making urban management more agile and responsive. In the case study, we explore how this approach can optimize traffic flow by adjusting lane allocations. This case not only enhances traffic efficiency but also reduces emissions. The proposed evolutionary city offers a new perspective on sustainable urban development, highliting the importance of integrated intelligence within urban systems.