Abstract

Old areas of metropolises play a crucial role in their development. The main factors restricting further progress are primitive road transportation planning, limited space, and dense population, among others. Mass transit systems and public transportation policies are thus being adopted to make an old area livable, achieve sustainable development, and solve transportation problems. Identifying old areas of metropolises as a research object, this paper puts forth an improved ant colony algorithm and combines it with virtual reality. This paper predicts traffic flow in Yangpu area on the basis of data obtained through Python, a programming language. On comparing the simulation outputs with reality, the results show that the improved model has a better simulation effect, and can take advantage of the allocation of traffic resources, enabling the transport system to achieve comprehensive optimization of time, cost, and accident rates. Subsequently, this paper conducted a robustness test, the results of which show that virtual traffic simulation based on the improved ant colony algorithm can effectively simulate real traffic flow, use vehicle road and signal resources, and alleviate overall traffic congestion. This paper offers suggestions to alleviate traffic congestion in old parts of metropolises.

Highlights

  • Focusing on the issues related to road transportation planning in the old area of metropolis, this paper arranges the literatures on reports, laws and regulations of various countries in the world

  • Easing traffic congestion in the old area of metropolis is the key to solving the bottleneck of metropolitan development

  • There is no effective mechanism to solve the problem of traffic congestion in the old area of the metropolis

Read more

Summary

Research Background

With the development of economies and advancement of urbanization, the disadvantages faced by metropolises are becoming increasingly prominent; they include urban population expansion, traffic congestion, environmental pollution and other problems, known internationally as “urban diseases” [1]. Among these issues, traffic congestion is a major focus of discussion. Steps to ease traffic congestion in old areas have long been neglected These parts of a city have historical significance and serve as venues for all kinds of urban functions, showcasing the metropolises’ important commercial, cultural, medical and educational resources. Yangpu District of Shanghai, one of the largest metropolises in China, is studied as an example; actual data are used to test and provide countermeasures to alleviate traffic congestion in old parts of metropolises

Review of Road Transportation Planning Theory
Review of Ant Colony Algorithm
Review of Existing Literature
Basic Principles of Ant Colony Algorithm
Improve Transition Rules
Improve Pheromone Rule
Pheromone Update Operator
Global Update Rule
Application of Ant Colony Algorithm
Simulation Model
Main Findings of This Study
Implications of This Study
Limitations of This Study
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call