scholarly journals Study on the setting of non-motor vehicle left turn waiting area at typical intersection

2021 ◽  
Vol 831 (1) ◽  
pp. 012054
Author(s):  
DaYun Ge
Keyword(s):  
Motor Vehicle ◽  
Left Turn ◽  
Waiting Area

The Method of Color Non-Motor Vehicle Waiting Area Setting Based on Slow Transportation Priority

2021 ◽  
Author(s):  
Hongrui Zhang ◽  
Shengrui Zhang ◽  
Xingyu Ji ◽  
Miao Hao
Keyword(s):  
Motor Vehicle ◽  
Waiting Area

scholarly journals A numerical model for impacts of left-turn non-motorized vehicles on through lane capacity metrics

2020 ◽  
Vol 55 (3) ◽  
pp. 7-16
Author(s):  
Lieyun He ◽  
Xinming Lin ◽  
Qiang Liu ◽  
Jason X. Tao
Keyword(s):  
Motor Vehicle ◽  
Flow Distribution ◽  
Motor Vehicles ◽  
Correction Coefficient ◽  
Negative Exponential Function ◽  
Left Turn ◽  
Traffic Lane ◽  
Straight Line ◽  
Motorized Vehicles ◽  
The Impact

There is a conflict between through motor vehicles and the left-turn non-motorized vehicles, and the capacity of straight-line motor vehicles decreases. This study analyzes the impacts of left-turn non-motorized vehicles on the capacity of through motor vehicle lanes. A correction coefficient model for calculating the reduced capacity of through motor vehicle lanes has been developed based on analysis of the conflicting points at an intersection and the negative exponential function of traffic flow distribution. With consideration of intersection geometric design, channelization, and traffic characteristics, the correction coefficient model was further enhanced by regression to capture the impacts of left-turn non-motorized vehicles from the same and the opposite directions. A simulation with VISSIM is used to validate the developed model. It shows that the calculated capacity from the correction coefficient model is close to the simulation results. The experiment indicates that the derived model is highly accurate in calculating the capacity of through motor vehicle lanes and has potential application for situations of mixed traffic in China. The study shows that the capacity of a through traffic lane at the permitted phase decreases with the increase of left-turning non-motorized vehicles, and the impact of left-turning non-motorized vehicles from the same direction is more significant. The results show that the traffic capacity of straight-line motor vehicle decreases with the increase of the left-turn non-motorized vehicles flow rate and the influence of the left-turn non-motor vehicle is more obvious. It is suggested that in practice, the correction coeffi-cient of non-motor vehicle on the left turn should be 0.88, and the correction coefficient on the left turn should be 0.95, respectively. The study recommends coefficient values for both non-motorized vehicles from the same and opposite directions for use in real applications.

scholarly journals Signal Control Method for through and Left-Turn Shared Lane by Setting Left-Turn Waiting Area at Signalized Intersections

2021 ◽  
Vol 13 (23) ◽  
pp. 13154
Author(s):  
Xiancai Jiang ◽  
Li Yao ◽  
Yao Jin ◽  
Runting Wu
Keyword(s):  
Control Method ◽  
Signalized Intersections ◽  
Signal Control ◽  
Signal Timing ◽  
Left Turn ◽  
Traffic Conflicts ◽  
Vehicle To Infrastructure ◽  
Waiting Area ◽  
Integrated Performance ◽  
Cooperation System

This paper proposes a signal control method for the through and left-turn shared lanes at signalized intersections to solve traffic conflicts between left-turn vehicles and opposing through vehicles by setting left-turn waiting area (LWA). Delays and stops are weighted to form an integrated performance index (PI) in a vehicle-to-infrastructure cooperation system. The PI models pertaining to all vehicles are established based on the LWA intersection. In addition, an optimized method of signal timing parameters is constructed by minimizing the average PI. VISSIM simulation shows that the average PI decreases by 6.51% compared with the original layout and signal timing plan of the intersection, since the increased delay of the side-road left-turn vehicles is insufficient to offset the reduced delay of the side-road through vehicles after the improvement. The sensitivity analysis shows that the greater the traffic volume of the phase including the through and left-turn shared lanes, the higher the operation efficiency of the LWA intersection compared with the typical permitted phase intersection. When the left-turn vehicles of the shared lanes in each cycle are less than the stop spaces, the LWA intersection can effectively reduce the average PI of the shared lanes. Furthermore, the more the stop spaces in the LWA, the lower the average PI in the same traffic conditions.

Challenges in Hazard Detection for Commercial Motor Vehicle Drivers: A Driving Simulator Training Study

2018 ◽  
Vol 2672 (34) ◽  
pp. 29-38
Author(s):  
George D. Park ◽  
Jeffrey S. Hickman ◽  
Sean P. Pitoniak ◽  
Theodore J. Rosenthal
Keyword(s):  
Driving Simulator ◽  
Motor Vehicle ◽  
Training Group ◽  
Training System ◽  
Simulator Training ◽  
Control Group ◽  
Left Turn ◽  
Hazard Detection ◽  
Study Results ◽  
Commercial Motor Vehicle

There are few research studies that have assessed the hazard detection (HD) challenges of experienced, skilled drivers. This paper presents the pilot study results of an HD training program, Commercial Driver Assessment and Training System (CDATS), developed for commercial motor vehicle (CMV) drivers. The training involved simulation-based videos that highlight potential vehicle, pedestrian, and visually hidden hazards during unprotected intersection maneuvers: left-turn, right-turn, and straight-thru. Low-fidelity driving simulations were designed to reinforce video lessons and increase the expectation and detection of potential hazards. Training efficacy was assessed using a driving simulator HD task presented to short-haul CMV drivers ( N = 16) at pre-/post-assignment to CDATS training or a control condition. Results suggested that CMV drivers had highest HD task accuracy (% correct) for vehicle hazards and lowest accuracy for visually hidden hazards. Performance for pedestrian hazards was dependent on the intersection maneuver, with performance decreases for left-turn, right-turn and straight-thru intersections, respectively. Post-test results suggested overall HD improvement in the CDATS training group with no change in the control group; however, there was no significant change in relative hazard type by intersection maneuver pattern. Similar to prior research, experienced CMV drivers may also exhibit challenges in HD, particularly for visually hidden and visible pedestrian hazards, and may benefit from HD training.

Using Micro-Simulation VISSIM to Study the Effectiveness of Left-Turn Waiting Area Implementation

2018 ◽  
Vol 876 ◽  
pp. 187-191
Author(s):  
Da Zhi Sun
Keyword(s):  
Simulation Method ◽  
Green It ◽  
Left Turn ◽  
Preliminary Results ◽  
Micro Simulation ◽  
Different Types ◽  
Waiting Area ◽  
A New Technique ◽  
Left Lane

Numerous attempts have been made to improve the existing intersection systems to maximize capacity and reduce the delay costs and queues. This paper introduces a simulation method to study the effectiveness of a new technique introduced recently in China – the left-turn waiting area. This has an extended left lane that allows the vehicles to wait before the signal turns green. It is reported that this system can significantly improve intersection performance. This paper introduces the different types of left-turn waiting areas which have been widely implemented in China. The method of using micro-simulation VISSIM to study the effectiveness of left-turn waiting area is proposed in this paper, along with some preliminary results of a case study.

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