Research on the Factors and Its Characteristics Influencing the Risks and Traffic Efficiency of Double-In Single-Out Short Weaving Area of Urban Interchanges

2021 ◽  
Author(s):  
Kai Guo ◽  
Yong-Gang Liao ◽  
Xiao-Fei Wang ◽  
Sheng Wang
Keyword(s):  
Traffic Efficiency

scholarly journals Evaluation and Analysis of CFI Schemes with Different Length of Displaced Left-Turn Lanes with Entropy Method

2021 ◽  
Vol 13 (12) ◽  
pp. 6917
Author(s):  
Binghong Pan ◽  
Shasha Luo ◽  
Jinfeng Ying ◽  
Yang Shao ◽  
Shangru Liu ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Heavy Traffic ◽  
Efficiency Index ◽  
Entropy Method ◽  
Sustainable Transportation ◽  
Assessment Model ◽  
Left Turn ◽  
Traffic Demand ◽  
Traffic Efficiency ◽  
Multi Attribute Decision Making

As an unconventional design to alleviate the conflict between left-turn and through vehicles, Continuous Flow Intersection (CFI) has obvious advantages in improving the sustainability of roadway. So far, the design manuals and guidelines for CFI are not enough sufficient, especially for the displaced left-turn lane length of CFI. And the results of existing research studies are not operational, making it difficult to put CFI into application. To address this issue, this paper presents a methodological procedure for determination and evaluation of displaced left-turn lane length based on the entropy method considering multiple performance measures for sustainable transportation, including traffic efficiency index, environment effect index and fuel consumption. VISSIM and the surrogate safety assessment model (SSAM) were used to simulate the operational and safety performance of CFI. The multi-attribute decision-making method (MADM) based on an entropy method was adopted to determine the suitability of the CFI schemes under different traffic demand patterns. Finally, the procedure was applied to a typical congested intersection of the arterial road with heavy traffic volume and high left-turn ratio in Xi’an, China, the results showed the methodological procedure is reasonable and practical. According to the results, for the studied intersection, when the Volume-to-Capacity ratio (V/C) in the westbound and eastbound lanes is less than 0.5, the length of the displaced left-turn lanes can be selected in the range of 80 to 170 m. Otherwise, other solutions should be considered to improve the traffic efficiency. The simulation results of the case showed CFI can significantly improve the traffic efficiency. In the best case, compared with the conventional intersection, the number of vehicles increases by 13%, delay, travel time, number of stops, CO emission, and fuel consumption decrease by 41%, 29%, 25%, 17%, and 17%, respectively.

Traffic Efficiency Applications over Downtown Roads

2020 ◽  
Vol 53 (5) ◽  
pp. 1-30
Author(s):  
Maram Bani Younes ◽  
Azzedine Boukerche
Keyword(s):  
Traffic Efficiency

Modeling of cooperative adaptive cruise control vehicle and its effect on traffic flow

2021 ◽  
pp. 2250022
Author(s):  
Jianzhong Chen ◽  
Yang Zhou ◽  
Jing Li ◽  
Huan Liang ◽  
Zekai Lv ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Cooperative Control ◽  
Adaptive Cruise Control ◽  
Cruise Control ◽  
Lane Changing ◽  
Vehicle Communication ◽  
Traffic Efficiency ◽  
Vehicle To Vehicle ◽  
Road Capacity ◽  
Cooperative Adaptive Cruise Control

In this paper, an improved multianticipative cooperative adaptive cruise control (CACC) model is proposed based on fully utilizing multivehicle information obtained by vehicle-to-vehicle communication. More flexible, effective and practical spacing strategy is embedded into the model. We design a new lane-changing rule for CACC vehicles on the freeway. The rule considers that CACC vehicles are more inclined to form a platoon for coordinated control. Furthermore, we investigate the effect of CACC vehicles on two-lane traffic flow. The results demonstrate that introducing CACC vehicles into mixed traffic and forming CACC platoon to cooperative control can improve traffic efficiency and enhance road capacity to a certain extent.

Joint Optimization of Communication and Traffic Efficiency in Vehicular Networks

2019 ◽  
Vol 68 (2) ◽  
pp. 2014-2018 ◽  
Author(s):  
Long Zhao ◽  
Fangfei Wang ◽  
Kan Zheng ◽  
Taneli Riihonen
Keyword(s):  
Vehicular Networks ◽  
Joint Optimization ◽  
Traffic Efficiency

scholarly journals Influences of Single-Lane Automatic Driving Systems on Traffic Efficiency and CO2 Emissions on China’s Motorways

2021 ◽  
Vol 11 (22) ◽  
pp. 11032
Author(s):  
Haokun Song ◽  
Fuquan Zhao ◽  
Zongwei Liu
Keyword(s):  
Co2 Emissions ◽  
Penetration Rate ◽  
Connected Vehicles ◽  
Driving System ◽  
Traffic Efficiency ◽  
Automatic Driving ◽  
Driving Behaviors ◽  
Road Capacity ◽  
Long Time ◽  
Carbon Dioxide Co2

There are big differences between the driving behaviors of intelligent connected vehicles (ICVs) and traditional human-driven vehicles (HVs). ICVs will be mixed with HVs on roads for a long time in the future. Different intelligent functions and different driving styles will affect the condition of traffic flow, thereby changing traffic efficiency and emissions. In this paper, we focus on China’s expressways and secondary motorways, and the impacts of the ‘single-lane automatic driving system’ (SLADS) on traffic delay, road capacity and carbon dioxide (CO2) emissions were studied under different ICV penetration rates. Driving styles were regarded as important factors for scenario analysis. We found that with higher volume input, SLADS has an optimizing effect on traffic efficiency and CO2 emissions generally, which will be more significant as the ICV penetration rate increases. Additionally, enhancing the aggressiveness of driving behavior appropriately is an effective way to amplify the benefits of SLADS.

scholarly journals A Management System for Improving Traffic Efficiency in Transportation Infrastructures

2008 ◽  
Author(s):  
George Dimitrakopoulos ◽  
Giouli Kritikou ◽  
Panagiotis Demestichas ◽  
Eleni Dimitrellou
Keyword(s):  
Management System ◽  
Traffic Efficiency ◽  
Transportation Infrastructures

scholarly journals Flashing green signal effects on drivers’ behavior

2021 ◽  
Vol 67 (1) ◽  
pp. 31-36
Author(s):  
Anica Kocić ◽  
Stamenka Stanković ◽  
Svetlana Čičević ◽  
Nikola Čelar ◽  
Jelena Kajalić ◽  
...  
Keyword(s):  
Signalized Intersections ◽  
Traffic Efficiency ◽  
Knowledge And Attitudes

The flashing green signal indicates that the green signal will end, and its application at signalized intersections is optional. This paper presents the results of the survey conducted among Belgrade drivers. The survey was conducted in order to analyze behavior, perceptions, knowledge, and attitudes towards the flashing green signal. Results showed that drivers mostly support the flashing green implementation. Also, respondents expressed an opinion that the flashing green improves traffic efficiency and safety. A third of drivers decelerate and stop when flashing green starts. In a situation where the vehicle in front of them decelerate when flashing green starts, 13% of drivers will try to change lane and pass an intersection. This result indicates that drivers of following cars can have conflicting decisions. Results showed that half of the respondents underestimate the flashing green duration while a third of them overestimate it.

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