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New periodically variable speed limits rule for highways with mathematical model and simulation
- Source :
- IET Intelligent Transport Systems. 12:227-235
- Publication Year :
- 2018
- Publisher :
- Institution of Engineering and Technology (IET), 2018.
-
Abstract
- Variable speed limits (VSL) are used to balance traffic safety and transportation efficiency on the highway. However, driver satisfaction usually affects both aspects because human behaviour is an important factor in the traffic system. Therefore, this study aims to propose a VSL rule that combines traffic flow, risk level and driver satisfaction. First, the authors present a physical model of the lane-changing process, and the psychology of drivers when judging whether to change lanes is measured by mathematical expectation and membership functions. Considering the above three factors as target functions, a new VSL rule for two-lane highways and a periodic VSL rule for three-lane highways are formulated. Simulation results indicate that the rule for two-lane highways has good performance in the three aspects, but when it is extended to the three-lane situation, the driver satisfaction does not improve significantly. However, the periodic speed limit rule can help increase driver satisfaction. Therefore, the VSL rules that are proposed reveal a potentially highly effective way to improve the vehicle speed on the highway and advance rule making.
- Subjects :
- 050210 logistics & transportation
Operations research
Mathematical model
business.industry
Mechanical Engineering
Speed limit
05 social sciences
Process (computing)
Transportation
010103 numerical & computational mathematics
Expected value
Traffic flow
01 natural sciences
Variable (computer science)
Traffic system
Traffic engineering
0502 economics and business
0101 mathematics
business
Law
General Environmental Science
Subjects
Details
- ISSN :
- 17519578
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- IET Intelligent Transport Systems
- Accession number :
- edsair.doi...........8ba353231e94daa6b0f78613d0626dd0
- Full Text :
- https://doi.org/10.1049/iet-its.2017.0123