Exploring the Impact of Driver Adherence to Speed Limits and the Interdependence of Roadside Collisions in an Urban Environment: An Agent-Based Modelling Approach
| Autor: | Keiran Suchak, Liam Douglas-Mann, Sedar Olmez, Daniel Birks, Ed Manley, Annabel Whipp, Alison J. Heppenstall |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
traffic simulation
Technology QH301-705.5 QC1-999 data analysis speed adherence Transport engineering Urbanization 0502 economics and business 0501 psychology and cognitive sciences General Materials Science Biology (General) Empirical evidence Instrumentation QD1-999 050107 human factors Fluid Flow and Transfer Processes Agent-based model 050210 logistics & transportation Process Chemistry and Technology Physics 05 social sciences General Engineering Traffic simulation collisions Collision Engineering (General). Civil engineering (General) agent-based model urban environment Computer Science Applications Chemistry Traffic congestion Work (electrical) Environmental science autonomous agents TA1-2040 Urban environment |
| Zdroj: | Applied Sciences, Vol 11, Iss 5336, p 5336 (2021) Applied Sciences Volume 11 Issue 12 |
| ISSN: | 2076-3417 |
| Popis: | Roadside collisions are a significant problem faced by all countries. Urbanisation has led to an increase in traffic congestion and roadside vehicle collisions. According to the UK Government’s Department for Transport, most vehicle collisions occur on urban roads, with empirical evidence showing drivers are more likely to break local and fixed speed limits in urban environments. Analysis conducted by the Department for Transport found that the UK’s accident prevention measure’s cost is estimated to be £33bn per year. Therefore, there is a strong motivation to investigate the causes of roadside collisions in urban environments to better prepare traffic management, support local council policies, and ultimately reduce collision rates. This study utilises agent-based modelling as a tool to plan, experiment and investigate the relationship between speeding and vehicle density with collisions. The study found that higher traffic density results in more vehicles travelling at a slower speed, regardless of the degree to which drivers comply with speed restrictions. Secondly, collisions increase linearly as speed compliance is reduced for all densities. Collisions are lowest when all vehicles comply with speed limits for all densities. Lastly, higher global traffic densities result in higher local traffic densities near-collision sites across all adherence levels, increasing the likelihood of congestion around these sites. This work, when extended to real-world applications using empirical data, can support effective road safety policies. |
| Databáze: | OpenAIRE |
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