Research on evolution characteristics of traffic flow in continuous confluence area of expressway

2021 ◽  
Author(s):  
Changsheng Wang ◽  
Weihua Zhang ◽  
Wenyou Wu ◽  
Huiwen Liu ◽  
Meng Qiu
Keyword(s):  
Traffic Flow ◽  
Evolution Characteristics

Effects of speed bottleneck on traffic flow with feedback control signal

2016 ◽  
Vol 30 (25) ◽  
pp. 1650323 ◽  
Author(s):  
Kangli Zhu ◽  
Jiantao Bi ◽  
Jianjun Wu ◽  
Shubin Li
Keyword(s):  
Feedback Control ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Control Signal ◽  
Feedback Signal ◽  
Car Following ◽  
Flow Capacity ◽  
Stop And Go ◽  
Capacity Change ◽  
Evolution Characteristics

Various car-following models (CMs) have been developed to capture the complex characteristics of microscopic traffic flow, among which the coupled map CM can better reveal and reflect various phenomena of practical traffic flow. Capacity change at bottleneck contributes to high-density traffic flow upstream the bottleneck and contains very complex dynamic behavior. In this paper, we analyze the effect of speed bottleneck on the spatial-temporal evolution characteristics of traffic flow, and propose a method to reduce traffic congestion with the feedback control signal based on CM. Simulation results highlight the potential of using the feedback signal to control the stop-and-go wave and furthermore to alleviate the traffic congestion effectively.

The Analysis of Traffic Flow State on Foggy Expressway Based on Fuzzy Clustering

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Jianjun Wang ◽  
Chenfeng Xie ◽  
Zhenwen Chang ◽  
Jingjing Zhang
Keyword(s):  
Traffic Flow ◽  
Fuzzy Clustering ◽  
Flow State

Study on Discrete Autonomous Traffic Flow Model with Zero-Order Hold

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Lidong Zhang ◽  
Wenxing Zhu ◽  
Mengmeng Zhang ◽  
Cuijiao Chen
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Zero Order ◽  
Traffic Flow Model

Driver’s Visual Distraction Characteristics Based on Traffic Flow Category

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Bo Wang ◽  
Haixiao Wang ◽  
Ke Ji ◽  
Qi Mi
Keyword(s):  
Traffic Flow ◽  
Visual Distraction

Regulation of Traffic Flow in Small Cities with High Number of Vehicles: Case of Malisheva City – Kosovo

2018 ◽  
Vol 9 (4) ◽  
pp. 161
Author(s):  
Rifat Krasniqi ◽  
Ilir Doci ◽  
Ahmet Shala ◽  
Rinor Berisha
Keyword(s):  
Traffic Flow ◽  
Small Cities

Smart Driving System for Improving Traffic Flow

2017 ◽  
Vol 7 (7) ◽  
pp. 236
Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Adaptive Cruise Control ◽  
Human Perception ◽  
Cruise Control ◽  
Driving System ◽  
V2v Communication ◽  
Traffic Conditions ◽  
Cooperative Adaptive Cruise Control

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

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