Power function-based signal recovery transition optimization model of emergency traffic
| Autor: | Kaimin Zhang, Dai Yaxuan, Jiao Yao, Jin Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Queueing theory business.industry Computer science 05 social sciences 020206 networking & telecommunications 02 engineering and technology Traffic flow Signal Theoretical Computer Science Hardware and Architecture Control theory Traffic engineering 0502 economics and business 0202 electrical engineering electronic engineering information engineering business Queue Software Information Systems |
| Zdroj: | The Journal of Supercomputing. 74:7003-7023 |
| ISSN: | 1573-0484 0920-8542 |
| DOI: | 10.1007/s11227-018-2596-y |
| Popis: | In view of the disturbance of the emergency signal preemption to the normal traffic flow, a scientific and reasonable signal transition optimization model was proposed in this paper, in which fair and efficiency are both considered. Since the emergency signal preemption may lead to longer vehicle queuing and greater vehicle delay at intersections, the difference of queue length and the vehicle delay were selected as the objectives taking into account the fair benefit, and a multi-objective signal recovery transition optimization model for emergency rescue was established based on the power function method. The queue length was calculated by the 95% queue length model of the SYNCHRO, and the average vehicle delay was calculated with HCM2000 delay model; furthermore, parameters’ weight in the model was calibrated with the variation coefficient method, and model was solved by genetic algorithm. Moreover, power function method was used to score the signal recovery transition schemes of emergency traffic. Finally, based on the survey data from the typical route network in the Lion Mountain area of Suzhou City, the model proposed in this study was compared with three classical smooth transition schemes (immediate transition scheme, two-cycle transition scheme and three-cycle transition scheme) at the scenario of evening peak. Simulation results showed that the model in this paper can reduce the vehicle delay and queue length compared with the above three smooth transition schemes; the average reduction ratio of queue length delay was 13.82%, and this number of queue length was 13.65%, from which we can conclude that the model proposed in this has better performance than other three classical transition schemes in emergency signal transition applicability. |
| Databáze: | OpenAIRE |
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