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Optimization Model and Method of Variable Speed Limit for Urban Expressway
- Source :
- Journal of Advanced Transportation, Vol 2021 (2021)
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- The urban expressway network is the main part of the urban traffic network carrying most of the city’s traffic pressure for its continuity and rapidity, but the control method of the traffic flow was too simple to other control methods in application in addition to the ramp control and the fixed speed control. In this paper, the theory of variable speed limit (VSL) was used to develop an optimal control model based on the improved traffic flow simulation model according to the characteristics of urban expressway traffic flow. The objective of the proposed model is to minimize the delay and maximize the traffic flow. It can adjust the traffic flow on the network in space time so that the whole network is in a state of equilibrium which not only is conducive to the control of the local traffic congestion and avoids the spread of congestion but also improves the traffic safety. The SPSA-based solution algorithm was proposed by taking into account the needs of real-time online applications. It can not only ensure the accuracy of the solution but also meet the requirements of the simulation time. The simulation results show that the variable speed limit can be optimized in moderate demand, and the proposed model and algorithm are effective and feasible in this paper. The conclusions are useful to help the traffic management department to formulate reasonable traffic control strategies.
- Subjects :
- Economics and Econometrics
Mathematical optimization
Electronic speed control
Article Subject
Computer science
Strategy and Management
Control (management)
01 natural sciences
0502 economics and business
0103 physical sciences
010301 acoustics
HE1-9990
050210 logistics & transportation
TA1001-1280
Mechanical Engineering
Speed limit
Space time
05 social sciences
Traffic flow
Optimal control
Computer Science Applications
Transportation engineering
Variable (computer science)
Traffic congestion
Automotive Engineering
Transportation and communications
Subjects
Details
- ISSN :
- 20423195 and 01976729
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Journal of Advanced Transportation
- Accession number :
- edsair.doi.dedup.....8dc98cd6f1fd98b871f94248df713c41