scholarly journals Analyzing the behavior of bicyclists using a bicycle simulator with a coupled SUMO and DYNA4 simulated environment

10.29007/dcmp ◽  
2019 ◽  
Author(s):  
Heather Kaths ◽  
Andreas Keler ◽  
Jakob Kaths ◽  
Fritz Busch
Keyword(s):  
Traffic Control ◽  
Simulation Software ◽  
Control Measures ◽  
Signalized Intersection ◽  
Trajectory Data ◽  
Road Users ◽  
Simulated Environment ◽  
Simulator Study ◽  
Behavior Models ◽  
Traffic Simulations

Operational behavior models are used in traffic simulations to represent the subconscious, short-termdecisions made by road users to respond to other road users, the infrastructure and traffic control measures. Calibration and validation of these models can be achieved using observed trajectory data from real road users. For lane bound traffic, it is assumed that road users intend to follow a given lane with a certain desired speed across the intersection. Any deviation from this planned path is in response to other road users or the environment. It is difficult, however, to identify and separate the desired movement of more flexible road users that do not follow lane disciple, such as bicyclists, from movements made as a reaction to other road users or obstacles. This can lead to poor calibration of operational behavior models and unrealistic behavior in the simulation. Tactical behavior models recreate the conscious decisions made on a time horizon of seconds to minutes to cope with the immediate traffic situation. As such, tactical behavior models are responsible for selecting the planned path across an intersection.Here, SUMO is coupled with the simulation software DYNA4 to create a simulated road environment for a bicycle simulator. Trajectories observed in reality are displayed as potential prescribed pathways across the simulated intersection. Participants in the simulator study are instructed to select and follow one of the prescribed pathways as closely as possible while responding naturally to other road users and obstacles in the environment. The resulting trajectory data is used to calibrate existing operation al and tactical path finding behavior models for bicyclists at signalized intersection.

scholarly journals Calibrating the Wiedemann 99 Car-Following Model for Bicycle Traffic

2021 ◽  
Vol 13 (6) ◽  
pp. 3487
Author(s):  
Heather Kaths ◽  
Andreas Keler ◽  
Klaus Bogenberger
Keyword(s):  
Motor Vehicle ◽  
Trajectory Data ◽  
Traffic Light ◽  
Microscopic Simulation ◽  
Simulation Tools ◽  
Car Following ◽  
Car Following Model ◽  
Behavior Models ◽  
Traffic Simulations ◽  
Observed Behavior

Car-following models are used in microscopic simulation tools to calculate the longitudinal acceleration of a vehicle based on the speed and position of a leading vehicle in the same lane. Bicycle traffic is usually included in microscopic traffic simulations by adjusting and calibrating behavior models developed for motor vehicle traffic. However, very little work has been carried out to examine the following behavior of bicyclists, calibrate following models to fit this observed behavior, and determine the validity of these calibrated models. In this paper, microscopic trajectory data collected in a bicycle simulator study are used to estimate the following parameters of the psycho-physical Wiedemann 99 car-following model implemented in PTV Vissim. The Wiedemann 99 model is selected due to the larger number of assessable parameters and the greater possibility to calibrate the model to fit observed behavior. The calibrated model is validated using the indicator average queue dissipation time at a traffic light on the facilities ranging in width between 1.5 m to 2.5 m. Results show that the parameter set derived from the microscopic trajectory data creates more realistic simulated bicycle traffic than a suggested parameter set. However, it was not possible to achieve the large variation in average queue dissipation times that was observed in the field with either of the tested parameter sets.

Early Warning Mechanism for the Surge of Passengers in Metro Systems Based on Automated Fare Collection Data: Case Study of Guangzhou, China

2019 ◽  
Vol 2673 (4) ◽  
pp. 917-929 ◽  
Author(s):  
Ning Huan ◽  
Enjian Yao ◽  
Binbin Li
Keyword(s):  
Early Warning ◽  
Traffic Control ◽  
Safety Management ◽  
Early Stage ◽  
Point Of View ◽  
Control Measures ◽  
Passenger Flow ◽  
Early Warning Mechanism ◽  
Metro Systems

Recently, surges of passengers caused by large gatherings, temporary traffic control measures, or other abnormal events have frequently occurred in metro systems. From the standpoint of the operation managers, the available information about these outside events is incomplete or delayed. Unlike regular peaks of commuting, those unforeseen surges pose great challenges to emergency organization and safety management. This study aims to assist managers in monitoring passenger flow in an intelligent manner so as to react promptly. Compared with the high cost of deploying multisensors, the widely adopted automated fare collection (AFC) system provides an economical solution for inflow monitoring from the application point of view. In this paper, a comprehensive framework for the early warning mechanism is established, including four major phases: data acquisition, preprocessing, off-line modeling, and on-line detection. For each station, passengers’ tapping-on records are gathered in real time, to be further transformed into a dynamic time series of inflow volumes. Then, a sequence decomposition model is formulated to highlight the anomaly by removing its inherent disturbances. Furthermore, a novel hybrid anomaly detection method is developed to monitor the variation of passenger flow, in which the features of inflow patterns are fully considered. The proposed method is tested by a numerical experiment, along with a real-world case study of Guangzhou metro. The results show that, for most cases, the response time for detection is within 5 min, which makes the surge phenomenon observable at an early stage and reminds managers to make interventions appropriately.

scholarly journals Road users behaviors on selected elements of transport infrastructure

2018 ◽  
Vol 19 (12) ◽  
pp. 133-138
Author(s):  
Elżbieta Macioszek ◽  
Nicol Piasecka
Keyword(s):  
Traffic Control ◽  
Transport Infrastructure ◽  
Road Users

The problem of road users behaviors on selected elements of transport infrastructure have been presented in this paper. The study of road users behaviors was carried out at selected five cities located in the Masovian Voivodeship. During the survey the information about drivers, pedestrians and cyclists behaviors at intersections like roundabouts have been collected. The collected information concerned among others recognition and adhere to the existing traffic control at roundabouts as well as respects the pedestrians priority at pedestrian crossings located on the roundabouts entries.

An Evaluation of Highway Work Zone Impact Factors on Driving Safety Using Complicated Indexes Based on Traffic Simulation System

2013 ◽  
Vol 723 ◽  
pp. 943-950 ◽  
Author(s):  
Jiao Yan ◽  
Chi Zhang ◽  
Meng Hua Ding ◽  
Yi Chang James Tsai
Keyword(s):  
Traffic Control ◽  
Traffic Simulation ◽  
Compliance Rate ◽  
Simulation Software ◽  
Work Zone ◽  
Driving Safety ◽  
Impact Factors ◽  
Speed Limit ◽  
Transition Area ◽  
Control And Management

There are quite a number of complicated factors that can affect driving safety on freeway work zone during reconstruction, for example, traffic volume, driver compliance rate (which means drivers who follow the posted speed limit), slope gradient, HGV rate and so on. This article uses the popular traffic simulation software VISSIM to simulate different situations. The results show that the safety of Upstream Transition Area and the place where speed limit signs locate are the lowest. It is recommended that speed limit signs should not be located that much, and cars and HGVs need to be more careful when merging into the Upstream Transition Area, and lower their speeds if necessary. Most important, compliance rate plays an important role in safety measures, and this provides a solid foundation for traffic control and management.

scholarly journals The Dynamical Decision Model of Intersection Congestion Based on Risk Identification

2020 ◽  
Vol 12 (15) ◽  
pp. 5923 ◽  
Author(s):  
Xu Sun ◽  
Kun Lin ◽  
Pengpeng Jiao ◽  
Huapu Lu
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Decision Model ◽  
Risk Identification ◽  
Control Measures ◽  
Evaluation Index System ◽  
Actual Condition ◽  
Basic Model ◽  
Risk Degree

The paper focuses on the problem of traffic congestion at intersection based on the mechanism of risk identification. The main goal of this study is to explore a new methodology for identifying and predicting the intersection congestion. Considering all the factors influencing the traffic status of intersection congestion, an integrated evaluation index system is constructed. Then, a detailed dynamic decision model is proposed for identifying the risk degree of the traffic congestion and predicting its influence on future traffic flow, which combines the traffic flow intrinsic properties with the basic model of the Risking Dynamic Multi-Attribute Decision-Making theory. A case study based on a real-world road network in Baoji, China, is implemented to test the efficiency and applicability of the proposed modeling. The evaluation result is in accord with the actual condition and shows that the approach proposed can determine the likelihood and risk degree of the traffic congestion occurring in the intersection, which can be used as a tool to help transport managers make some traffic control measures in advance.

TWEET DATA EXTRACTOR FOR CREATING A TWITTER TRAFFIC MAP MASHUP

2015 ◽  
Vol 75 (10) ◽  
Author(s):  
Amirul Afif Jasmi ◽  
Mohamad Hafis Izran Ishak ◽  
Nurul Hawani Idris
Keyword(s):  
Social Media ◽  
Big Data ◽  
Traffic Control ◽  
Transportation Planning ◽  
General Public ◽  
New Technologies ◽  
The Road ◽  
Current Information ◽  
Road Users ◽  
Use Of Social Media

Over recent years, there has been a growth of interest in the use of social media including Facebook and Twitter by the authorities to share and updates current information to the general public. The technology has been used for a variety of purposes including traffic control and transportation planning. There is a concern that the use of new technologies, including social media will lead to data abundance that requires effective operational resources to interpret the big data. This paper proposes a tweet data extractor to extract the traffic tweet by the authority and visualise the reports and mash up on top of online map, namely Twitter map. Visualisation of traffic tweet on a map could assist a user to effectively interpret the text based Twitter report by a location based map viewer. Hence, it could ease the process of planning itinerary by the road users. 

scholarly journals Discovering Urban Functional Polycentricity: A Traffic Flow-Embedded and Topic Modeling-Based Methodology Framework

2020 ◽  
Vol 12 (5) ◽  
pp. 1897
Author(s):  
Shaodong Wang ◽  
Yanbin Liu ◽  
Wei Zhi ◽  
Xihua Wen ◽  
Weihua Zhou
Keyword(s):  
Urban Planning ◽  
Traffic Flow ◽  
Urban Area ◽  
Traffic Control ◽  
Urban Areas ◽  
Topic Modeling ◽  
Spatial Organization ◽  
Rapid Development ◽  
Trajectory Data ◽  
Function Distribution

With the rapid development of communication and transportation technologies, the urban area is increasingly becoming an ever more dynamic, comprehensive, and complex system. Meanwhile, functional polycentricity as a distinctive feature has been characterizing urban areas around the world. However, the spatial structure of the urban area has yet to be fully comprehended from a dynamic perspective, and understanding the spatial organization of polycentric urban regions (PUR) is crucial for issues related to urban planning, traffic control, and urban risk management. The analysis of polycentricity strongly depends on the spatial scale. In order to identify functional polycentricity at the intra-unban scale, this paper presents a traffic flow-embedded and topic modeling-based methodology framework. This framework was evaluated on real-world datasets from the Wujiang district, Suzhou, China, which contains 151,419 records of taxi trajectory data and 86,036 records of points of interest (POI) data. This paper provides a novel approach to examining urban functional polycentricity via combining urban function distribution and spatial interactions. This proposed methodology can help urban authorities better understand urban dynamics in terms of function distribution and internal connectedness and facilitate urban development in terms of urban planning and traffic control.

Optimal Control of Freeway Networks with Bottlenecks and Static Demand

2005 ◽  
Vol 1925 (1) ◽  
pp. 29-37
Author(s):  
A. Hegyi ◽  
B. De Schutter ◽  
J. Hellendoorn
Keyword(s):  
Traffic Control ◽  
Network Performance ◽  
Control Measures ◽  
Freeway Traffic ◽  
Traffic Jams ◽  
Control Actions ◽  
Temporal Relationships ◽  
Freeway Networks ◽  
Capacity Drop ◽  
Traffic Behavior

Optimally coordinated freeway traffic control for networks containing bottlenecks with capacity drop and hysteresis behavior is considered. Because of the multitude of traffic jams and the spatial and temporal relationships between control actions and traffic behavior, this problem is not as straightforward as that for local control. The order in which the measures are applied may be relevant, or it may be possible that not all jams can be resolved. In that case the best possible locations of jams should be determined. An approach to address these problems is developed in which a generalized representation of flow-limiting control measures and bottlenecks is used. Whether a certain set of control measures is sufficient to improve network performance is determined. The approach also supplies the necessary sequence of control actions and the necessary relocation of traffic jams to achieve the network state corresponding to the best achievable performance.

Application of Catastrophe Theory in Traffic Flow of Highway Tunnel Group

2013 ◽  
Vol 734-737 ◽  
pp. 1609-1612
Author(s):  
Wei Zhan ◽  
Yue Quan Shang ◽  
Feng Xia Chi
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Catastrophe Theory ◽  
Critical Density ◽  
Flow Characteristics ◽  
Control Measures ◽  
Highway Tunnel ◽  
Relationship Of ◽  
The Relationship ◽  
Highway Management

Based on the investigation of traffic flow in a typical highway tunnel group, the traffic flow characteristics were analyzed by catastrophe theory with the relationship of the speed, volume and density. The discontinuous leaping change phenomenon of the traffic data under large traffic volume is better explained by the catastrophe model than the traditional ways. The value of critical density can be obtained by analyzing the critical state of traffic flow. Then the traffic flow warning can be realized in highway tunnel group region. The data and results can be used for the reference of taking traffic control measures by highway management.

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