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Traffic signal synchronization in the saturated high-density grid road network.

Hu X, Lu J, Wang W, Zhirui Y - Comput Intell Neurosci (2015)

Bottom Line: Most existing traffic signal synchronization strategies do not perform well in the saturated high-density grid road network (HGRN).Using the strategy, the LGLR traffic signal synchronization model is developed, with the objective of minimizing the number of stops.Finally, the simulation is executed to analyze the performance of the model by comparing it to other models, and the superiority of the LGLR model is evident in terms of delay, number of stops, queue length, and overall performance in the saturated HGRN.

View Article: PubMed Central - PubMed

Affiliation: Jiangsu Key Laboratory of Urban ITS, Southeast University, Sipailou No. 2, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Sipailou No. 2, Nanjing 210096, China ; Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Sipailou No. 2, Nanjing 210096, China.

ABSTRACT
Most existing traffic signal synchronization strategies do not perform well in the saturated high-density grid road network (HGRN). Traffic congestion often occurs in the saturated HGRN, and the mobility of the network is difficult to restore. In order to alleviate traffic congestion and to improve traffic efficiency in the network, the study proposes a regional traffic signal synchronization strategy, named the long green and long red (LGLR) traffic signal synchronization strategy. The essence of the strategy is to control the formation and dissipation of queues and to maximize the efficiency of traffic flows at signalized intersections in the saturated HGRN. With this strategy, the same signal control timing plan is used at all signalized intersections in the HGRN, and the straight phase of the control timing plan has a long green time and a long red time. Therefore, continuous traffic flows can be maintained when vehicles travel, and traffic congestion can be alleviated when vehicles stop. Using the strategy, the LGLR traffic signal synchronization model is developed, with the objective of minimizing the number of stops. Finally, the simulation is executed to analyze the performance of the model by comparing it to other models, and the superiority of the LGLR model is evident in terms of delay, number of stops, queue length, and overall performance in the saturated HGRN.

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Related in: MedlinePlus

The simulated HGRN.
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fig2: The simulated HGRN.

Mentions: As shown in Figure 2, the HGRN of Nanjing is simulated in Vissim. In the HGRN, the spacing of the road grid is between 150 and 300 meters, the roads are all four-lane two-way, the approaches are expanded to three lanes, and there are no signification differences in the road grade. Within 20 signalized intersections, four-phase signal control is used, and traffic detectors are installed at the stop lines at signalized intersections. According to the statistics, the average turn-left ratio at the intersections is about 15%, and the saturation flow rate for a lane is 1800 veh/h.


Traffic signal synchronization in the saturated high-density grid road network.

Hu X, Lu J, Wang W, Zhirui Y - Comput Intell Neurosci (2015)

The simulated HGRN.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4309220&req=5

fig2: The simulated HGRN.
Mentions: As shown in Figure 2, the HGRN of Nanjing is simulated in Vissim. In the HGRN, the spacing of the road grid is between 150 and 300 meters, the roads are all four-lane two-way, the approaches are expanded to three lanes, and there are no signification differences in the road grade. Within 20 signalized intersections, four-phase signal control is used, and traffic detectors are installed at the stop lines at signalized intersections. According to the statistics, the average turn-left ratio at the intersections is about 15%, and the saturation flow rate for a lane is 1800 veh/h.

Bottom Line: Most existing traffic signal synchronization strategies do not perform well in the saturated high-density grid road network (HGRN).Using the strategy, the LGLR traffic signal synchronization model is developed, with the objective of minimizing the number of stops.Finally, the simulation is executed to analyze the performance of the model by comparing it to other models, and the superiority of the LGLR model is evident in terms of delay, number of stops, queue length, and overall performance in the saturated HGRN.

View Article: PubMed Central - PubMed

Affiliation: Jiangsu Key Laboratory of Urban ITS, Southeast University, Sipailou No. 2, Nanjing 210096, China ; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Sipailou No. 2, Nanjing 210096, China ; Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Sipailou No. 2, Nanjing 210096, China.

ABSTRACT
Most existing traffic signal synchronization strategies do not perform well in the saturated high-density grid road network (HGRN). Traffic congestion often occurs in the saturated HGRN, and the mobility of the network is difficult to restore. In order to alleviate traffic congestion and to improve traffic efficiency in the network, the study proposes a regional traffic signal synchronization strategy, named the long green and long red (LGLR) traffic signal synchronization strategy. The essence of the strategy is to control the formation and dissipation of queues and to maximize the efficiency of traffic flows at signalized intersections in the saturated HGRN. With this strategy, the same signal control timing plan is used at all signalized intersections in the HGRN, and the straight phase of the control timing plan has a long green time and a long red time. Therefore, continuous traffic flows can be maintained when vehicles travel, and traffic congestion can be alleviated when vehicles stop. Using the strategy, the LGLR traffic signal synchronization model is developed, with the objective of minimizing the number of stops. Finally, the simulation is executed to analyze the performance of the model by comparing it to other models, and the superiority of the LGLR model is evident in terms of delay, number of stops, queue length, and overall performance in the saturated HGRN.

Show MeSH
Related in: MedlinePlus