Estimating Traffic Flow Rate on Freeways from Probe Vehicle Data and Fundamental Diagram

2015 ◽  
Author(s):  
Khairul Anuar ◽  
Filmon Habtemichael ◽  
Mecit Cetin
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Fundamental Diagram ◽  
Probe Vehicle ◽  
Vehicle Data

Performance Characterization of Arterial Traffic Flow with Probe Vehicle Data

2013 ◽  
Vol 2380 (1) ◽  
pp. 10-21 ◽  
Author(s):  
Stephen M. Remias ◽  
Alexander M. Hainen ◽  
Christopher M. Day ◽  
Thomas M. Brennan ◽  
Howell Li ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Performance Characterization ◽  
Probe Vehicle ◽  
Vehicle Data ◽  
Arterial Traffic

scholarly journals Traffic and Energy Consumption Modelling of Electric Vehicles: Parameter Updating from Floating and Probe Vehicle Data

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 82
Author(s):  
Antonello Ignazio Croce ◽  
Giuseppe Musolino ◽  
Corrado Rindone ◽  
Antonino Vitetta
Keyword(s):  
Energy Consumption ◽  
Traffic Flow ◽  
Electric Vehicles ◽  
Internal Combustion Engines ◽  
Flow Models ◽  
Floating Car Data ◽  
Probe Vehicle ◽  
Vehicle Data ◽  
Regional Area ◽  
Traffic Flow Models

This paper focuses on the estimation of energy consumption of Electric Vehicles (EVs) by means of models derived from traffic flow theory and vehicle locomotion laws. In particular, it proposes a bi-level procedure with the aim to calibrate (or update) the whole parameters of traffic flow models and energy consumption laws by means of Floating Car Data (FCD) and probe vehicle data. The reported models may be part of a procedure for designing and planning transport and energy systems. This aim is to verify if, and in what amount, the existing parameters of the resistances/energy consumptions model calibrated in the literature for Internal Combustion Engines Vehicles (ICEVs) change for EVs, considering the above circular dependency between supply, demand, and supply–demand interaction. The final results concern updated parameters to be used for eco-driving and eco-routing applications for design and a planning transport system adopting a multidisciplinary approach. The focus of this manuscript is on the transport area. Experimental data concern vehicular data extracted from traffic (floating car data and probe vehicle data) and energy consumption data measured for equipped EVs performing trips inside a sub-regional area, located in the Città Metropolitana of Reggio Calabria (Italy). The results of the calibration process are encouraging, as they allow for updating parameters related to energy consumption and energy recovered in terms of EVs obtained from data observed in real conditions. The latter term is relevant in EVs, particularly on urban routes where drivers experience unstable traffic conditions.

scholarly journals Extended Fundamental Diagrams

2020 ◽  
Vol 2674 (4) ◽  
pp. 292-299
Author(s):  
Peter Wagner ◽  
Ronald Nippold ◽  
Johannes Grötsch
Keyword(s):  
Data Base ◽  
Traffic Flow ◽  
Large Data ◽  
Fundamental Diagram ◽  
Large Data Base ◽  
Additional Information ◽  
Vehicle Data ◽  
Single Vehicle ◽  
Surrogate Measure

By using a large data-base of single vehicle data from a German freeway, the fundamental diagram (FD) can be extended. These types of data allow extraction of additional information that can be displayed as a function of the traffic flow [Formula: see text] and speed [Formula: see text]. This is demonstrated here with a surrogate measure of safety (SMoS) and two other indices, which can be used to perform more in-depth analyses of traffic flow. In the case of the SMoS, it is possible to identify more and less dangerous regions in the extended FD.

scholarly journals Traffic flow rate on Kigali roads: a case of national roads (RN1 and RN3)

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Jacqueline Nyirajana ◽  
Akinwale Oladotun Coker ◽  
Folake Olubunmi Akintayo
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Critical Density ◽  
Maximum Flow ◽  
Carbon Dioxide Production ◽  
Flow State ◽  
Fundamental Diagram ◽  
Essential Facility ◽  
Time Scheduling ◽  
Road Planning

Traffic flow study plays a key important in various functionalities of cities all over the world. The study of traffic flow is also viewed as an essential facility of the country when it wants to establish traffic operations patterns in the progress of road planning. Blockages are accountable for a sequence of harmful effects such as loss of time, scheduling difficulties, carbon dioxide production, and risks of accidents as well as external expenses. Besides, inadequate transportation facilities and increased traffic volume hamper urban development, especially in developing nations. The objective of the study was to assess the traffic flow state in two selected national roads of Kigali city. The traffic data were collected from 5 am to 8 pm on two National Roads (RN1 and RN3).  The relationship between density and flow rate was analyzed using the fundamental diagram of traffic flow. It was found that the peak hours were from 6 am to 8 am and 5 pm to 8 pm. The highest number of vehicles counted were motorcycles due to shortcuts taken to reduce travel time. The results on RN3 revealed a proportion increase of traffic flow and density in the free-flow regime from 0 to maximum flow of 3346.6 veh/h correspondent to a critical density of 114.9 veh/km. However, in the congested zone regime, there was a decrease in traffic flow and an increase in density. It was found that the curve of flow versus density tended to increase on-road RN1. This study proposed the promotion of public transport and e-commerce as strategies to mitigate the congestion. Also, further research may be carried out on all roads of Kigali city, to provide the level of congestion useful for traffic deviation accordingly.

Field Theory for Some Traffic Phenomena and Fundamental Diagram

2021 ◽  
pp. 036119812110064
Author(s):  
Daiheng Ni
Keyword(s):  
Field Theory ◽  
Traffic Flow ◽  
Causal Effect ◽  
Microscopic Approach ◽  
Fundamental Diagram ◽  
Longitudinal Control ◽  
Effect Analysis ◽  
Vehicle Trajectories ◽  
Vehicle Motion ◽  
Cross Reference

A fundamental diagram consists of a scatter of traffic flow data sampled at a specific location and aggregated from vehicle trajectories. These trajectories, if presented equivalently, constitute a microscopic version of the (conventional) fundamental diagram. The cross-reference between vehicle trajectories and the microscopic fundamental diagram provides details of vehicle motion dynamics which allow causal-effect analysis on some traffic phenomena and further reveal the microscopic basis of the conventional fundamental diagram. This observation inspires theoretical modeling by a microscopic approach to address traffic phenomena and the conventional fundamental diagram. Derived from the field theory of traffic flow, the longitudinal control model is capable of serving the purpose without the modifications or exceptions used by other approaches.

scholarly journals Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation

2021 ◽  
Vol 13 (15) ◽  
pp. 8324
Author(s):  
Viacheslav Morozov ◽  
Sergei Iarkov
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Traffic Congestion ◽  
Traffic Management ◽  
System Analysis ◽  
Motor Vehicle ◽  
Experimental Studies ◽  
Transport Systems ◽  
Experiment Planning ◽  
Traffic Light

Present experience shows that it is impossible to solve the problem of traffic congestion without intelligent transport systems. Traffic management in many cities uses the data of detectors installed at controlled intersections. Further, to assess the traffic situation, the data on the traffic flow rate and its concentration are compared. Latest scientific studies propose a transition from spatial to temporal concentration. Therefore, the purpose of this work is to establish the regularities of the influence of traffic flow concentration in time on traffic flow rate at controlled city intersections. The methodological basis of this study was a systemic approach. Theoretical and experimental studies were based on the existing provisions of system analysis, traffic flow theory, experiment planning, impulses, probabilities, and mathematical statistics. Experimental data were obtained and processed using modern equipment and software: Traficam video detectors, SPECTR traffic light controller, Traficam Data Tool, SPECTR 2.0, AutoCad 2017, and STATISTICA 10. In the course of this study, the authors analyzed the dynamics of changes in the level of motorization, the structure of the motor vehicle fleet, and the dynamics of changes in the number of controlled intersections. As a result of theoretical studies, a hypothesis was put forward that the investigated process is described by a two-factor quadratic multiplicative model. Experimental studies determined the parameters of the developed model depending on the directions of traffic flow, and confirmed its adequacy according to Fisher’s criterion with a probability of at least 0.9. The results obtained can be used to control traffic flows at controlled city intersections.

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