Performance analysis of traffic control system based on stochastic timed Petri net models

Wang, J.; Jin, Chun; Deng, Yi

doi:10.1109/cmpsac.1999.814323

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Waiting time refers to a vehicle's time delay due to red signals. 29 Table 1, there are two constructs required for the initialization of the simulation model: road network and traffic demands. In SUMO, a road network consists of nodes and edges.…”

Section: Outputmentioning

confidence: 99%

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Self-organization models of urban traffic lights based on digital infochemicals

Zou

Yılmaz

2018

SIMULATION

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This paper presents a self-organizing model to design effective traffic signaling strategies in order to reduce traffic congestion in urban areas. The proposed traffic signaling system is based on a pattern model of self-organization, i.e., digital infochemicals (DIs), which are analogous to chemical substances that convey information between interactive elements mediated via the environment. In the context of traffic systems, the DIs refer to information generated by vehicles and dissipated by the urban transportation infrastructure. Based on the exploratory analysis with one single intersection, we demonstrate that the DI-based strategy performs significantly better than both the fixed and trigger-based scheduling strategies in terms of queue length and waiting time under both fixed and dynamic traffic demands.

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Section: Outputmentioning

confidence: 99%

“…Queuing length is the number of vehicles that are stopped by red signals at an intersection. 29 In practice, queuing length is the total number of halting vehicles with a speed of less than 0.1 m/s during red signals. Waiting time refers to a vehicle’s time delay due to red signals.…”

Section: Di-based Signaling Modelmentioning

confidence: 99%