Quantitative Analysis of impact of Bicycles on Vehicles in Urban Mixed Traffic

Jia, Shijie; Peng, Hongqin; Guo, Jinhui; Chen, Haibo

doi:10.1016/s1570-6672(08)60018-5

Cited by 22 publications

(18 citation statements)

References 5 publications

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“…These interactions on the urban mixed traffic road have been quantitatively analyzed through surveys by Jia et al . and Chen et al . , but the traffic flow model that can depict these scenarios is deficient.…”

Section: Introductionmentioning

confidence: 91%

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Modeling the interactions between car and bicycle in heterogeneous traffic

Luo

Jia

Liu

et al. 2013

J of Advced Transportation

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Summary In this paper, a new cellular automata model is proposed to simulate the car and bicycle heterogeneous traffic on urban road. To capture the complex interactions between these two types of vehicles, a novel occupancy rule is adopted in the proposed model to consider the variable lateral distances of mixed vehicular traffic. Based on massive simulations, microscopic fundamental diagrams under different bicycle densities are devised. With these, the bicycle's spilling behavior is then investigated and discussed. In order to reflect the interference of a bicycle on a car, the interference transformation from friction state to block state is modeled explicitly. Finally, different simulation results under different occupancy rules indicate that the constant and fixed occupancy rule adopted in the previous studies might lead to overestimation of car flux in the heterogeneous traffic flows with different bicycle densities. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 91%

“…Also, for this motorized vehicle and bicycle scenario, Jia et al . study the influence of the number of bicycles on the speed of motorized vehicles. In their study, when there are many bicycles on nm‐lane , some of them might spill into m‐lane .…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the interactions between car and bicycle in heterogeneous traffic

Luo

Jia

Liu

et al. 2013

J of Advced Transportation

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“…Some studies have examined the interactions between motorized vehicles and bicycles on road sections. In one example, Jia et al investigated the impact of bicycles on vehicles based on data for the interference of bicycles with vehicles driving on typical road sections in Beijing, China. Chen et al analyzed traffic speeds for mixed traffic conditions (motorized vehicles and bicycles) on non‐barrier road sections in a field study conducted in Shijiazhuang City, China.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al analyzed traffic speeds for mixed traffic conditions (motorized vehicles and bicycles) on non‐barrier road sections in a field study conducted in Shijiazhuang City, China. Jia et al and Chen et al investigated the influence that the side distance between bicycles and motorized vehicles has on the speed of the vehicle. In addition, Singh and Gunay determined a relationship between the lateral gap and the speed of interacting vehicles, with the results showing that the lateral gap is much higher when vehicles travel at faster speeds.…”

Section: Introductionmentioning

confidence: 99%

A cellular automata (CA) model for motorized vehicle flows influenced by bicycles along the roadside

Chen

Wei

2016

J of Advced Transportation

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SUMMARYOn many urban low-grade or branch roads, especially in medium or small cities in China, bicyclists and motorists commonly share the non-barrier road surface. Because bicycles are unpredictable and unstable when moving, motorized vehicles must reduce their speed to safely approach and overtake them. In this study, the gradual deceleration process a motorized vehicle undergoes before it passes a bicycle was analyzed. The motorist was assumed to prefer a comfortable deceleration and to select a higher deceleration rate only when the distance to the bicycle was insufficient to reduce the car's speed to the expected value at a comfortable deceleration rate. Cellular automata (CA) simulations were used to reveal the flow characteristics of motorized vehicles reacting to bicycles traveling along the roadside, and the results show that for the general velocities of motorized vehicles and bicycles traveling on urban branch roads, the road capacity for motorized vehicles is not related to the number of bicycles present. However, the average travel time of motorized vehicles is significantly affected by the presence of bicycles when the number of motorized vehicles on the road is small. In addition, motorized vehicles' average travel time is more influenced by disturbances in the flow of motorized vehicles than by bicycles when the number of motorized vehicles on the road is large. Field observations and surveys were used to validate the traffic behaviors and simulation results.

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Section: Introductionmentioning

confidence: 99%

Improved Cycling Navigation Using Inertial Sensors Measurements From Portable Devices With Arbitrary Orientation

Chang

Georgy²,

El‐Sheimy

2015

IEEE Trans. Instrum. Meas.

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A portable device is expected to be used unconstrained and in any orientation. Enabling navigation in such scenarios, although a hard problem, will consequently enable a lot of applications. For sports like cycling, the capability to obtain a meaningful navigation solution using a portable device in any orientation and without any constraints is beneficial for both normal consumers and athletes. Monitoring and tracking human motion using measurements from motion sensors is attractive because of their reasonable cost, size, and weight, in addition to mainstream availability on portable devices. This paper proposes an enhanced cycling navigation solution for portable devices with motion sensors using a novel technique for obtaining time-varying misalignments between the sensors' frame and bicycle frame. This technique utilizes the acceleration and angular rate measured by the motion sensors in the device at any possible position on a human body, and in any arbitrary orientation, without requirements to have the portable device tethered in a certain orientation. Careful manual mounting of motion sensors within the platform or bicycle is no longer required for providing continuous position, velocity, and orientation information, making the solution user friendly. The system proposed aims to provide an easy-to-use navigation and monitoring system on portable devices while cycling. The improved navigation solution enables the use of motion constraints and updates without requiring any constraints on the device's location and orientation. The experimental results demonstrate the capabilities of the proposed system.

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Quantitative Analysis of impact of Bicycles on Vehicles in Urban Mixed Traffic

Cited by 22 publications

References 5 publications

Modeling the interactions between car and bicycle in heterogeneous traffic

Modeling the interactions between car and bicycle in heterogeneous traffic

A cellular automata (CA) model for motorized vehicle flows influenced by bicycles along the roadside

Improved Cycling Navigation Using Inertial Sensors Measurements From Portable Devices With Arbitrary Orientation

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