scholarly journals A Novel Multisensor Traffic State Assessment System Based on Incomplete Data

2014 ◽  
Vol 2014 ◽  
pp. 1-13
Author(s):  
Yiliang Zeng ◽  
Jinhui Lan ◽  
Bin Ran ◽  
Yaoliang Jiang
Keyword(s):  
Traffic Flow ◽  
Incomplete Data ◽  
Road Traffic ◽  
Flow Speed ◽  
State Assessment ◽  
Assessment System ◽  
Flow Data ◽  
The Road ◽  
Traffic State ◽  
Probe Vehicle

A novel multisensor system with incomplete data is presented for traffic state assessment. The system comprises probe vehicle detection sensors, fixed detection sensors, and traffic state assessment algorithm. First of all, the validity checking of the traffic flow data is taken as preprocessing of this method. And then a new method based on the history data information is proposed to fuse and recover the incomplete data. According to the characteristics of space complementary of data based on the probe vehicle detector and fixed detector, a fusion model of space matching is presented to estimate the mean travel speed of the road. Finally, the traffic flow data include flow, speed and, occupancy rate, which are detected between Beijing Deshengmen bridge and Drum Tower bridge, are fused to assess the traffic state of the road by using the fusion decision model of rough sets and cloud. The accuracy of experiment result can reach more than 98%, and the result is in accordance with the actual road traffic state. This system is effective to assess traffic state, and it is suitable for the urban intelligent transportation system.

scholarly journals Data-driven profiling of traffic flow with varying road conditions

2019 ◽  
pp. 149-157 ◽  
Author(s):  
O K Golovnin
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Weather Conditions ◽  
Flow Speed ◽  
Data Driven ◽  
The Road ◽  
Data Driven Approach ◽  
Traffic Flow Characteristics ◽  
The City

The article describes the road, institutional and weather conditions that affect the traffic flow. I proposed a method for traffic flow profiling using a data-driven approach. The method operates with macroscopic traffic flow characteristics and detailed data of road conditions. The article presents the results of traffic flow speed and intensity profiling taking into account weather conditions. The study used road traffic and conditions data for the city of Aarhus, Denmark. The results showed that the method is effective for traffic flow forecasting due to varying road conditions.

Effects of Lanes Occupied on Urban Road Traffic Capacity

2014 ◽  
Vol 926-930 ◽  
pp. 3798-3801
Author(s):  
Zhi Wei Yang
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Flow Speed ◽  
Urban Traffic ◽  
Correction Coefficient ◽  
Dynamic Changes ◽  
Traffic Jam ◽  
The Road ◽  
Discharge Capacitance ◽  
Traffic Capacity

The article is research on the influence of urban lane occupied for the road traffic capacity. Under the condition that the density of urban traffic flow is big, and it‘s successional, we consider the quantity of vehicle is continuous. Through analyzing the dynamic changes of the road traffic capacity and its influencing factors after accidents, we can get reasonable suggestions of reducing the length of traffic jam. First we establish a flow-speed-density model to describe the dynamic changes of the road traffic capacity. Then we can compare the traffic flow to the electric current according to its continuity. So the upstream traffic flow and the traffic capacity of the accident cross section are equal to the charging current and the discharging current. And the vehicle queue is translated to the voltage of the charge-discharge capacitance. We can get the length of the vehicle queue by the formula of the capacitance voltage approximately. Finally the correction coefficient is introduced. In conclusion, the road traffic capacity is depended on the distance from the upstream intersection and the lane that the accident happened on and so on. Meanwhile, if we don’t solve the accident timely, the length will rise sharply. It will cause serious traffic jam. So we suggest relevant departments timely deal with the accident, evacuate the traffic, and prompt drivers to change lanes in advance.

Proactive Traffic Merging Strategies for Sensor-Enabled Cars

2010 ◽  
pp. 180-199 ◽  
Author(s):  
Ziyuan Wang ◽  
Lars Kulik ◽  
Kotagiri Ramamohanarao
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Control Strategies ◽  
The Road ◽  
Lack Of Information ◽  
Travel Delay ◽  
Hoc Networks

Congestion is a major challenge in today’s road traffic. The primary cause is bottlenecks such as ramps leading onto highways, or lane blockage due to obstacles. In these situations, the road capacity reduces because several traffic streams merge to fewer streams. Another important factor is the non-coordinated driving behavior resulting from the lack of information or the intention to minimize the travel time of a single car. This chapter surveys traffic control strategies for optimizing traffic flow on highways, with a focus on more adaptive and flexible strategies facilitated by current advancements in sensor-enabled cars and vehicular ad hoc networks (VANETs). The authors investigate proactive merging strategies assuming that sensor-enabled cars can detect the distance to neighboring cars and communicate their velocity and acceleration among each other. Proactive merging strategies can significantly improve traffic flow by increasing it up to 100% and reduce the overall travel delay by 30%.

scholarly journals Incorporation of Duffing Oscillator and Wigner-Ville Distribution in Traffic Flow Prediction

2017 ◽  
Vol 29 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Anamarija L. Mrgole ◽  
Drago Sever
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Duffing Oscillator ◽  
Traffic Load ◽  
The Road ◽  
Traffic Flow Prediction ◽  
Pattern Recognition Methods ◽  
Flow Prediction ◽  
Time Period ◽  
Specific Section

The main purpose of this study was to investigate the use of various chaotic pattern recognition methods for traffic flow prediction. Traffic flow is a variable, dynamic and complex system, which is non-linear and unpredictable. The emergence of traffic flow congestion in road traffic is estimated when the traffic load on a specific section of the road in a specific time period is close to exceeding the capacity of the road infrastructure. Under certain conditions, it can be seen in concentrating chaotic traffic flow patterns. The literature review of traffic flow theory and its connection with chaotic features implies that this kind of method has great theoretical and practical value. Researched methods of identifying chaos in traffic flow have shown certain restrictions in their techniques but have suggested guidelines for improving the identification of chaotic parameters in traffic flow. The proposed new method of forecasting congestion in traffic flow uses Wigner-Ville frequency distribution. This method enables the display of a chaotic attractor without the use of reconstruction phase space.

scholarly journals MTCS: A Method of Analyzing the Traffic Capacity of Urban Bus Lane Based on Vissim Simulation

2021 ◽  
Author(s):  
Hongtao Yuan ◽  
Huizhen Zhang ◽  
Minglei Liu ◽  
Cheng Wang ◽  
Yubiao Pan ◽  
...  
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Public Transport ◽  
Empirical Formula ◽  
Road Traffic ◽  
The Road ◽  
Traffic Capacity ◽  
Urban Public Transport ◽  
Bus Lane ◽  
Urban Bus

Abstract As an effective method of improving the attractiveness of urban public transport and alleviating urban traffic congestion, bus lanes play an important role in the urban public transport system. The research on the capacity of bus lanes is conducive to improve the operation efficiency of urban bus roads and improve the service level of urban public transport. To obtain the maximum capacity of the bus lane, on one hand, the empirical formula can be used for theoretical calculation, and on the other hand, the simulation model can be established for analysis and verification. Based on the idea of simulation, a method using Vissim is proposed, called MTCS (Minimum Traffic Capacity Substitution Method). The method divides the bus lane into different sections by intersections and stops, establishes simulation model of the bus lane to calculate the traffic capacity of each section such as vehicle speed and flow and select the minimum traffic capacity of the sections as the traffic capacity of the bus lane, which is verified by using the road saturation. The simulation process uses the actual travel speed and traffic flow of the bus lane as evaluation indicators, with the aim of maximizing the road traffic flow while the actual speed of vehicles on the road is close to the desired speed, thus achieving the desired road traffic state. To verify and improve the effectiveness of the method, its analysis results are compared with the empirical formula, and various methods of enhancing traffic capacity are quantitatively simulated. The parameters of the simulation model are set by the actual bus lane example, and the experimental results show that by the methods of modifying the stop-station mode and the signal-lamp cycle, 10% and 14% improvements can be achieved, respectively. This has a good reference value for the construction of bus lanes and the adjustment of road facilities.

scholarly journals An attempt to evaluate the influence of automated vehicles on traffic flow and design of road infrastructure

2019 ◽  
Vol 2019 (9) ◽  
pp. 29-38
Author(s):  
Nina Kozaczka ◽  
Stanisław Gaca
Keyword(s):  
Traffic Flow ◽  
Autonomous Vehicles ◽  
Communication Systems ◽  
Road Traffic ◽  
Negative Impact ◽  
Automated Vehicles ◽  
Road Infrastructure ◽  
The Road ◽  
Self Driving Cars ◽  
The Impact

The article evaluates the impact of autonomous vehicles on road infrastructure de- sign, road traffic conditions and safety based on a review of existing literature. Levels of driv- ing automation and equipment of self-driving vehicles were presented. Attention was drawn to the benefits of developing communication systems between vehicle and the environment. The possible negative impact of autonomous vehicles on mixed traffic capacity was noted. The potential needs to adapt the road infrastructure to the traffic flow of automated vehicles were also presented. Separation of the lane, dedicated to self-driving vehicles, with a high share of these vehicles was presented as an element that improves the flow of traffic and safe- ty. Keywords: Autonomous vehicles; Road infrastructure; Self-driving cars

scholarly journals Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation

2021 ◽  
Vol 13 (2) ◽  
pp. 14-23
Author(s):  
Mehran Amini ◽  
Hatwagn Miklos F. ◽  
Gergely Mikulai ◽  
Laszlo T. Koczy
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Flow Simulation ◽  
Fuzzy Cognitive Maps ◽  
Fuzzy Cognitive Map ◽  
Macroscopic Model ◽  
Route Guidance ◽  
Flow State ◽  
Macroscopic Modeling ◽  
The Road

Fuzzy cognitive maps (FCM) have been broadly employed to analyze complex and decidedly uncertain systems in modeling, forecasting, decision making, etc. Road traffic flow is also notoriously known as a highly uncertain nonlinear and complex system. Even though applications of FCM in risk analysis have been presented in various engineering fields, this research aims at modeling road traffic flow based on macroscopic characteristics through FCM. Therefore, a simulation of variables involved with road traffic flow carried out through FCM reasoning on historical data collected from the e-toll dataset of Hungarian networks of freeways. The proposed FCM model is developed based on 58 selected freeway segments as the “concepts” of the FCM; moreover, a new inference rule for employing in FCM reasoning process along with its algorithms have been presented. The results illustrate FCM representation and computation of the real segments with their main road traffic-related characteristics that have reached an equilibrium point. Furthermore, a simulation of the road traffic flow by performing the analysis of customized scenarios is presented, through which macroscopic modeling objectives such as predicting future road traffic flow state, route guidance in various scenarios, freeway geometric characteristics indication, and effectual mobility can be evaluated.

scholarly journals Acoustic Road Monitoring

2018 ◽  
Vol 231 ◽  
pp. 05002 ◽  
Author(s):  
Karolina Marciniuk ◽  
Maciej Blaszke ◽  
Bożena Kostek
Keyword(s):  
Traffic Flow ◽  
Monitoring System ◽  
Signal Analysis ◽  
Road Traffic ◽  
Weather Condition ◽  
Audio Signal ◽  
Flow Sensors ◽  
The Road ◽  
The Subject ◽  
Acoustic Representation

The subject of this research is showing the performance of an automatic acoustic road monitoring system proposed by the authors. The main goal of the study is describing road traffic by means of an acoustic representation and testing effectiveness of traffic flow sensors. Evaluation metrics of the road conditions such as velocity of the traffic flow, its structure and weather condition are presented along with acoustic descriptors derived from the audio signal analysis. Accuracy of emergency vehicles pass by detection based on acoustic monitoring is also briefly described.

scholarly journals An Integrated Turning Movements Estimation to Petri Net Based Road Traffic Modeling

2019 ◽  
Vol 8 (3) ◽  
pp. 49
Author(s):  
Youness Riouali ◽  
Laila Benhlima ◽  
Slimane Bah
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Transport Systems ◽  
Traffic Modeling ◽  
New Approach ◽  
Intelligent Transport ◽  
The Road ◽  
Dynamic Estimation ◽  
New Feature ◽  
Overall Functioning

The tremendous increase in the urban population highlights the need for more efficient transport systems and techniques to alleviate the increasing number of the resulting traffic-associated problems. Modeling and predicting road traffic flow are a critical part of intelligent transport systems (ITSs). Therefore, their accuracy and efficiency have a direct impact on the overall functioning. In this scope, a new approach for predicting the road traffic flow is proposed that combines the Petri nets model with a dynamic estimation of intersection turning movement counts to ensure a more accurate assessment of its performance. Thus, this manuscript extends our work by introducing a new feature, namely turning movement counts, to attain a better prediction of road traffic flow. A simulation study is conducted to get a better understanding of how predictive models perform in the context of estimating turning movements.

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