Influencing the queue configuration to increase bicycle jam density and discharge rate: An experimental study on a single path

Wierbos, Maria J.; Knoop, Victor L.; Bertini, Robert L.; Hoogendoorn, Serge P.

doi:10.1016/j.trc.2020.102884

Cited by 14 publications

(3 citation statements)

References 22 publications

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“…When the density is higher, the two-wheeler's comfort zone becomes smaller and the two-wheeler will be more concerned about interactions with temporally closer road users. The findings of previous study [99] confirm that road users pay more attention to others at smaller temporal distances when their speeds are faster and the traffic density is lower because these objects pose a greater threat to safe movement, which is consistent with the performance of the CZ model. As such, we can consider the calibration results of the CZ model is reasonable.…”

Section: Formulasupporting

confidence: 79%

An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments

Ying

Yuan

et al. 2023

Physica A: Statistical Mechanics and its Applications

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Section: Formulasupporting

confidence: 79%

An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments

Ying

Yuan

et al. 2023

Physica A: Statistical Mechanics and its Applications

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“…Considering the behaviors of free riding, following, and overtaking, the results of uni-directional bicycles experiment show that when the density was larger than 0.5 bicycles/m 2 , the stop-and-go traffic emerged [17]. Besides, in single path experiment, the increase in jam density resulted in a higher discharge rate of queuing, which increased by 40% when cyclists queue up closely [18]. The changes in the width of the road passed by uni-directional bicycles flow was studied, and it was found that the capacity of the road increased linearly with the increase of the road width, and there was a capacity drop phenomenon due to congestion [19].…”

Section: Introductionmentioning

confidence: 97%

Experimental study on individual level interaction between bicycle and pedestrian

Wang¹,

Chen²,

Ma³

2021

J. Stat. Mech.

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With the development of bicycle-sharing, bicycles have become the main means of urban transportation for short-distance trips, sharing the infrastructure with pedestrians. The current situation of bicycle–pedestrian mixed traffic has thus inevitably changed the efficiency of traditional infrastructure. In this paper, a series of controlled experiments were conducted to gain insights on the interaction between bicycle and pedestrian under mixed traffic conditions, including obstacle-avoiding, overtaking and encounter experiments in a 12 m-long, 0.8 m-wide passageway. Results show that under the experimental conditions, the acceleration of bicycles is less than that of pedestrians, and cyclists show no right/left preference when avoiding collisions with an obstacle. In the overtaking experiment, cyclists changed the direction to overtake a pedestrian or bicycle moving in the same direction in front when the distance between them is approximately 2.86 m, which is named as decision distance. For the encounter experiment, the decision distance has significant difference between pedestrian and cyclist. The decision distance of pedestrians is smaller, in contrast, when encountering another from the opposite side of the passageway, the cyclists began to change the forward direction at the initial position. Additionally, the motion state of interactional subject has little impact on the motion speed of bicycles and pedestrians expect for the overtaken bicycles and pedestrians. The results of this study can provide basic parameters on the interaction between bicycles and pedestrians at the individual level for further study of bicycle–pedestrian mixed traffic model.

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“…This is relevant because we know that the number of cyclists in cities increases with lower levels of discomfort along the bike network ( 2 ). The impetus to reduce delays for cyclists at signalized intersections has recently been drawing increasing attention from the traffic community ( 3 , 4 ). The objective of this study was therefore to investigate the potential of early cyclist detection for responsive signal control that prioritizes cyclists, so this mode of transport will experience fewer stops and long delays.…”

mentioning

confidence: 99%

Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles

Vial

Salomons

Daamen

et al. 2023

Transportation Research Record: Journal of the Transportation R

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When making trips in urban environments, cyclists lose time as they stop and idle at signalized intersections. The main objective of this study was to show how augmenting the situational awareness of traffic signal controllers, using observations from moving sensor platforms, can enable prioritization of cyclists and reduce lost time within the control cycle in an effective way. We investigated the potential of using observations from connected autonomous vehicles (CAVs) as a source of new information, using a revised vehicle-actuated controller. This controller exploits CAV-generated observations of cyclists to optimize the control for cyclists. The results from a simulation study indicated that with a low CAV penetration rate, prioritizing cyclists by tracking reduced cyclist delays and stops, even with a small field of view. As the delay of car directions were not taken into account in this study, the average car delay increased considerably with an increasing number of cyclists. Future work is needed to optimize the control that balances the delays and stops of cyclists and cars.

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Influencing the queue configuration to increase bicycle jam density and discharge rate: An experimental study on a single path

Cited by 14 publications

References 22 publications

An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments

An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments

Experimental study on individual level interaction between bicycle and pedestrian

Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles

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