Analysis of cooperative driving strategies at road network level with macroscopic fundamental diagram

2022 ◽  
Vol 135 ◽  
pp. 103503
Author(s):  
Jiawei Zhang ◽  
Huaxin Pei ◽  
Xuegang (Jeff) Ban ◽  
Li Li
Keyword(s):  
Road Network ◽  
Fundamental Diagram ◽  
Cooperative Driving ◽  
Macroscopic Fundamental Diagram

scholarly journals Macroscopic Fundamental Diagram based Road Network Characteristics Identification and Simulation

2020 ◽  
Vol 165 ◽  
pp. 04051
Author(s):  
Yi Yu ◽  
Liang Wang ◽  
Xianglun Mo ◽  
Yao Yu ◽  
Mei liu
Keyword(s):  
Road Network ◽  
Key Factors ◽  
Link Length ◽  
Fundamental Diagram ◽  
Road Density ◽  
Network Characteristics ◽  
The Road ◽  
Macroscopic Fundamental Diagram ◽  
Flow Equilibrium ◽  
The Relationship

As an inherent property of the road network, macroscopic fundamental diagram (MFD) method can effectively describe the traffic status of the urban roads and identify the relationship among key factors, such as traffic flow and occupancy. Currently, using MFD is easily affected by various network inner factors including topology and road density, so in this paper we propose a method to identify inner characteristic of road network and do a series of comparisons under different scenarios with fixed traffic input circumstance. The differential impact of data collector setting locations are discussed with a aim to reveal the respective location setting suitable for various networks conditions in initial; then road topology and density are designed in road network and simulated MFD performances with flow equilibrium affections. It is shown as the dispersion decreasing of link length or road density of network, the network exhibits better operation efficiency so as to increase the output of link flow and the dissipative ability of the road network. Meanwhile, the equivalent of entrances and exits is proved as another important factor has same impact on MFD.

scholarly journals An Influence Analytical Model of Dedicated Bus Lane on Network Traffic by Macroscopic Fundamental Diagram

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Yingying Ma ◽  
Yuanqi Xie ◽  
Yongjie Lin
Keyword(s):  
Analytical Model ◽  
Road Network ◽  
Network Performance ◽  
Fundamental Diagram ◽  
The Road ◽  
Macroscopic Fundamental Diagram ◽  
Continuous Output ◽  
Bus Lane ◽  
The Impact ◽  
Smooth State

To study the influence mechanism of dedicated bus lanes on the urban road network, this paper proposes a novel analytical model of macroscopic fundamental diagram (MFD) and passenger macroscopic fundamental diagram (p-MFD) and the corresponding indicators based on MFD and p-MFD to evaluate the operation of the network. Taking the grid network as an example, this paper collects traffic flow to calibrate the developed MFD and p-MFD and evaluates the network performance under different proportions of dedicated bus lanes. The simulation results show that the larger the proportion of dedicated bus lanes, the greater the impact on the rising section and the stable section of MFD and the descending section and post-stable section of p-MFD. Further analysis for the sensitivity of simulation experiments found that the strategy of setting dedicated bus lanes will improve the efficiency of vehicle and passenger transport when the road network is in a smooth state and ensure the continuous output of passengers when the network is in a congested state.

scholarly journals Application of Macroscopic Fundamental Diagram under Flooding Situation to Traffic Management Measures

2021 ◽  
Vol 13 (20) ◽  
pp. 11227
Author(s):  
Piyapong Suwanno ◽  
Rattanaporn Kasemsri ◽  
Kaifeng Duan ◽  
Atsushi Fukuda
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Road Network ◽  
Road Traffic ◽  
Control Measures ◽  
Flow Density ◽  
Fundamental Diagram ◽  
Urban Flood ◽  
Traffic Conditions ◽  
Macroscopic Fundamental Diagram

Bangkok, Thailand is prone to flooding after heavy rain. Many road sections become impassable, causing severe traffic congestion and greatly impacting activities. Optimal vehicle management requires the knowledge of flooding impact on road traffic conditions in specific areas. A method is proposed to quantify urban flood situations by expressing traffic conditions in specific ranges using the concept of macroscopic fundamental diagram (MFD). MFD-based judgement allows for a road manager to understand the current traffic situation and take appropriate traffic control measures. MFD analysis identified traffic flow–density and density–velocity relationships by using the shape of the estimated MFD travel time-series plots. Then, results were applied to develop a traffic model with vehicle-flow parameters as a measuring method for road-network performance. The developed model improved road-network traffic-flow performance under different flood conditions. A method is also presented for traffic management evaluation on the assumption that flooding occurs.

scholarly journals Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation

2019 ◽  
Vol 51 (3) ◽  
pp. 35-48 ◽  
Author(s):  
Xiaohui Lin ◽  
Jianmin Xu ◽  
Chengtao Cao
Keyword(s):  
Road Network ◽  
Estimation Method ◽  
Weighted Averaging ◽  
Estimation Methods ◽  
Accurate Estimation ◽  
Fusion Method ◽  
Fundamental Diagram ◽  
Macroscopic Fundamental Diagram ◽  
Fusion Methods ◽  
Estimation Fusion

Accurate estimation of macroscopic fundamental diagram (MFD) is the precondition of MFD’s application. At present, there are two traditional estimation methods of road network’s MFD, such as the loop detector data (LDD) estimation method and the floating car data (FCD) estimation method, but there are limitations in both traditional estimation methods. In order to improve the accuracy of road network MFD estimation, a few scholars have studied the fusion method of road network MFD estimation, but there are still some shortcomings on the whole. However, based on the research of adaptive weighted averaging (AWA) fusion method for MFD estimation of road network, I propose to use the MFD’s two parameters of road network obtained by LDD estimation method and FCD estimation method, and establish a back-propagation neural network data fusion model for MFD parameters of road network (BPNN estimation fusion method), and then the micro-traffic simulation model of connected-vehicle network based on Vissim software is established by taking the intersection group of the core road network in Tianhe District of Guangzhou as the simulation experimental area, finally, compared and analyzed two MFD estimation fusion methods of road network, in order to determine the best MFD estimation fusion method of road network. The results show that the mean absolute percent error (MAPE) of the parameters of road network’s MFD and the average absolute values of difference values of the state ratio of road network’s MFD are both the smallest after BPNN estimation fusion, which is the closest to the standard MFD of road network. It can be seen that the result of BPNN estimation fusion method is better than that of AWA estimation fusion method, which can improve the accuracy of road network MFD estimation effectively.

Macroscopic Fundamental Diagram Approach to Evaluating the Performance of Regional Traffic Controls

2020 ◽  
Vol 2674 (7) ◽  
pp. 420-430
Author(s):  
Weike Lu ◽  
Jun Liu ◽  
Jiannan Mao ◽  
Guojing Hu ◽  
Chuqiao Gao ◽  
...  
Keyword(s):  
Control System ◽  
Road Network ◽  
Evaluation Method ◽  
Load Capacity ◽  
Network Capacity ◽  
Maximum Throughput ◽  
Fundamental Diagram ◽  
Advantages And Disadvantages ◽  
Macroscopic Fundamental Diagram ◽  
Control Schemes

Evaluating a regional traffic control system requires understanding both the advantages and disadvantages of control schemes as well as the interrelated characteristics of the system. To assess the efficiency of regional signal control schemes in a road network, this study, which is based on the macroscopic fundamental diagram (MFD) concept, proposes four evaluative indicators: maximum throughput, critical accumulation, gridlock accumulation and the degree of homogeneity. The maximum throughput and gridlock accumulation can be used to reflect the road network capacity and load capacity, respectively. The degree of homogeneity quantifies the spatial variations of traffic flows in the network. Combined with the gridlock accumulation, the critical accumulation values the durability of a regional control system in managing congestion in the network. This study used the regional road network in Qingyang District of Chengdu, China, as a real-world example to demonstrate the proposed MFD-based approach. In the demonstration, the MFD-based evaluation method was compared to the traditional travel time-based method. The demonstration evaluated the control effect and characteristic values of the network under four control modes: fixed-time, actuated, adaptive and adaptive coordinated control.

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