A safety-based approaching behavioural model with various driving characteristics

Wang, Wuhong; Zhang, Weigang; Guo, Hongwei; Bubb, Heiner; Ikeuchi, Katsushi

doi:10.1016/j.trc.2011.02.002

Cited by 125 publications

(78 citation statements)

References 26 publications

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“…It is necessary to the human operator controls the hazardous process work with interpretation of the situation and decision making 19 . For analyzing drivers' giving precedence to jaywalking pedestrian, the flow chart in Fig.…”

Section: Situational Factors Influencing Driver Behavior Based On Logmentioning

confidence: 99%

Situational Factors of Influencing Drivers to Give Precedence to Jaywalking Pedestrians at Signalized Crosswalk

Jiang¹,

Wang²,

Mao³

et al. 2011

IJCIS

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A large number of fatalities are caused by the vehicle-pedestrian accidents. Under a potential conflict between the vehicle and jaywalking pedestrian, giving precedence to the pedestrian will be a proper decision taken by the driver to avoid collision. Field traffic data has been collected by video recording and image processing at two signalized crosswalks. Vehicle speed performance in the single vehicle-pedestrian encounter and platoon vehicle-pedestrian encounter were analyzed for understanding the driver behavior in the conflict process. Binary logit model was proposed to estimate the drivers' giving precedence influenced by the situational factors and the model was validated to predict the drivers' choices accurately. The vehicle speed, pedestrian speed, pedestrian lateral distance and the vehicle longitudinal distance to the conflict point were proved to affect the drivers' choices in platoon driving. The research results would hopefully be helpful to the design of intelligent vehicles and pedestrian protection systems by the knowledge-based decision making process.

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Section: Situational Factors Influencing Driver Behavior Based On Logmentioning

confidence: 99%

Situational Factors of Influencing Drivers to Give Precedence to Jaywalking Pedestrians at Signalized Crosswalk

Jiang¹,

Wang²,

Mao³

et al. 2011

IJCIS

Self Cite

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“…Additionally, most Chinese cities are facing very serious mixed traffic flow conditions; conflicts among pedestrian, cyclist, and vehicle are rather severe, 23 and drivers' characteristics of various vehicle types are greatly different. 24 Therefore, in Chinese situation, the delay time per person should be more important.…”

Section: Introductionmentioning

confidence: 99%

Real-time traffic signal optimization model based on average delay time per person

Jiao

Liu

et al. 2015

Advances in Mechanical Engineering

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Real-time traffic signal control is very important for relieving urban traffic congestion. Many existing traffic control models were formulated using optimization approach, with the objective functions of minimizing vehicle delay time. To improve people's trip efficiency, this article aims to minimize delay time per person. Based on the time-varying traffic flow data at intersections, the article first fits curves of accumulative arrival and departure vehicles, as well as the corresponding functions. Moreover, this article transfers vehicle delay time to personal delay time using average passenger load of cars and buses, employs such time as the objective function, and proposes a signal timing optimization model for intersections to achieve real-time signal parameters, including cycle length and green time. This research further implements a case study based on practical data collected at an intersection in Beijing, China. The average delay time per person and queue length are employed as evaluation indices to show the performances of the model. The results show that the proposed methodology is capable of improving traffic efficiency and is very effective for real-world applications.

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“…Timely provisions of strategic traveller information can contribute significantly in improving transport network efficiency while affording better transport services to commuters. Due to the limited real-world deployment of advanced multimodal traveller information system (AMTIS) infrastructure, and absence of substantial conceptual and theoretical frameworks to guide data collection, simulation-based approaches become an important tool to perform these investigations [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Interactions between Commuters’ Mode Choice Behaviour and Integrated Traveller Information

Meng

Memon²,

Wong

et al. 2015

PROMET

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A safety-based approaching behavioural model with various driving characteristics

Cited by 125 publications

References 26 publications

Situational Factors of Influencing Drivers to Give Precedence to Jaywalking Pedestrians at Signalized Crosswalk

Situational Factors of Influencing Drivers to Give Precedence to Jaywalking Pedestrians at Signalized Crosswalk

Real-time traffic signal optimization model based on average delay time per person

Dynamic Interactions between Commuters’ Mode Choice Behaviour and Integrated Traveller Information

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