A Model for Traffic Simulation of Flared Rural Road Intersections

Strömgren, Per; Olstam, Johan; Tapani, Andreas

doi:10.1016/j.trpro.2015.03.019

“…The output is, e.g., data about the capacity of the road or intersection [40], delays, queue lengths, average speeds, travel times (not only for vehicles but also for pedestrians [41]), etc. Sophisticated microsimulation tools (such as PTV VISSIM-see [10,13,[41][42][43][44][45][46][47], PTV VISWALK-see [15,29,48], AIMSUN-see [49][50][51][52], PARAMMICS-see [45,[53][54][55], etc.) enable the simulation of even more demanding tasks, such as analyses of the impact of traffic on the environment, noise studies, parking studies, simulation of toll gate operation, etc.…”

Section: About Traffic Modelling In Generalmentioning

confidence: 99%

“…The four categories are divided into traffic condition (congested vs. uncongested) and roadway condition (work zone vs. non-work zone). Many other authors have been dealing with the issue of microsimulation models for a long time, so it is not a matter of only the last few years [10,13,15,40,42,[45][46][47][49][50][51][52]54,[57][58][59][60], period from the end of the last century [43,55,61]. The issue of car-following models was dealt in the years 1953 by [62], 1978 by [44] and others (contemporary, e.g., [45,54,60]), and [48] proves that using microsimulation models can solve current topics; it uses the program PTV VISWALK to analyse the change in the behaviour of the pedestrian due to the COVID-19 pandemic (i.e., the need to keep the recommended 2 m distance between people limits the clusters of passengers waiting at public transport stops and thus limits the capacity of the transport structure).…”

Section: About Traffic Modelling In Generalmentioning

confidence: 99%

Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility

Krivda

¹

,

Petrů

²

,

Macha

³

et al. 2021

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This article deals with the issue of a partial problem in the sustainability and availability of public transport using the example of a specific transit node. In every public transport network, it is the transit nodes that can be a threat to the entire transport system in case of a bad design. The article presents a microsimulation traffic model of a transit node, which was created in the PTV VISSIM/VISWALK program. This model was tested by various traffic loads (i.e., normal loads, loads taking into account the extension of the tram network and loads at extraordinary sports or cultural events). As part of the evaluation of the monitored node, the movement of passengers on pedestrian areas, escalators and staircases was analysed. The obtained results demonstrate the importance of monitoring, for example, the Level of Service, average travel times and pedestrian speeds and other parameters, to ensure the functionality of this construction. The use of traffic models can be crucial, as they can be an invaluable aid and a suitable tool in finding the optimal transport solution that respects the requirements for sustainable and accessible public transport.

show abstract

“…Fig. 8.2), such directed lanes are missing (flared intersection) [231]. An intersection can have different shapes.…”

Section: Intersection Modelmentioning

confidence: 99%

Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications to Traffic Management

Sichani¹

0

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<p>A comprehensive traffic monitoring system can assist authorities in identifying parts of a road transportation network that exhibit poor performance. In addition to monitoring, it is essential to develop a localized and efficient analytical transportation model that reflects various network scenarios and conditions. A comprehensive transportation model must consider various components such as vehicles and their different mechanical characteristics, human and their diverse behaviours, urban layouts and structures, and communication and transportation infrastructure and their limitations. Development of such a system requires a bringing together of ideas, tools, and techniques from multiple overlapping disciplines such as traffic and computer engineers, statistics, urban planning, and behavioural modelling. In addition to modelling of the urban traffic for a typical day, development of a large-scale emergency evacuation modelling is a critical task for an urban area as this assists traffic operation teams and local authorities to identify the limitations of traffic infrastructure during an evacuation process through examining various parameters such as evacuation time. In an evacuation, there may be severe and unpredictable damage to the infrastructure of a city such as the loss of power, telecommunications and transportation links. Traffic modelling of a large-scale evacuation is more challenging than modelling the traffic for a typical day as historical data is usually available for typical days, whereas each disaster and evacuation are typically one-off or rare events. Damage due to a disaster, combined with a sudden increase of demand due to the evacuation of people will likely result in increased pressure on the remaining, potentially fragmented, infrastructure. The lessons learnt from evacuation modelling can assist traffic operation teams and local authorities to provide safer and more efficient planning. The development of pervasive personal digital devices such as phones, watches, and headphones which can be interconnected with technologies such as Bluetooth, has led to a disruptive change in the ways in which local governments can monitor traffic flows within their cities. Moreover, modern vehicles and navigation systems can interconnect to the personal devices of drivers and passengers primarily via Bluetooth technologies. By continuously monitoring such devices when they are discoverable and in range, traffic patterns can be estimated based on, not only the volume of detection, but also other characteristics of the devices that can be used to give more refined estimates of the real underlying traffic flows. This thesis examines Bluetooth traffic data collected from Bluetooth Traffic Monitoring Systems (BTMS) for modelling and monitoring the urban traffic. BTMS can monitor and track individual detected vehicles through a city. Installation, processing, data transmission, and maintenance of BTMS are easier, quicker and cheaper than existing standard monitoring systems such as CCTV cameras and inductive loops. Inductive loops are typically point-wise traffic monitoring systems that are installed in the roads and can measure the traffic flow. However, the use of BTMS devices presents several challenges: not every vehicle has a detectable device, some have many, and there are devices carried by pedestrians and non-motor vehicles as well as stationary devices. This thesis enumerates and investigates these challenges through statistical modelling, various protocols for cleaning and data preparation, dynamic estimation of the detection rate, and simulation through the case study of the city of Wellington, New Zealand. The city of Wellington experienced damage from the 2016 Kaikoura earthquake (a magnitude 7.8 earthquake), which led to road closures and other infrastructure damage. As part of modelling, performance evaluation, and identifying impacted routes by the 2016 Kaikoura earthquake, this thesis analyses three weeks of BTMS data from the periods before and after the earthquake. Furthermore, this thesis proposes a multi-disciplinary dynamic traffic modelling (TFDA2M) framework and evaluates the performance of TFDA2M on various large-scale evacuation scenarios. These scenarios cover a wide range of real-world use cases which may occur during a disaster such as power failure, an abrupt increase in demand, and damage to the main transportation infrastructure. The findings of this thesis highlight an immediate need for preparations of a large-scale evacuation planning for Wellington to mitigate the consequences of a large-scale evacuation due to a future disaster. Moreover, TFDA2M can assist traffic operation managers and authorities in making smarter decisions (both quantitative and spatially) through the simulation process. Since TFDA2M has a flexible schema, it can be set to monitor, assess, and manage the traffic flow on a daily basis and disaster occasions.</p>

show abstract

“…Fig. 8.2), such directed lanes are missing (flared intersection) [231]. An intersection can have different shapes.…”

Section: Intersection Modelmentioning

confidence: 99%

Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications to Traffic Management

Sichani¹

1

0

View full text Add to dashboard Cite

<p>A comprehensive traffic monitoring system can assist authorities in identifying parts of a road transportation network that exhibit poor performance. In addition to monitoring, it is essential to develop a localized and efficient analytical transportation model that reflects various network scenarios and conditions. A comprehensive transportation model must consider various components such as vehicles and their different mechanical characteristics, human and their diverse behaviours, urban layouts and structures, and communication and transportation infrastructure and their limitations. Development of such a system requires a bringing together of ideas, tools, and techniques from multiple overlapping disciplines such as traffic and computer engineers, statistics, urban planning, and behavioural modelling. In addition to modelling of the urban traffic for a typical day, development of a large-scale emergency evacuation modelling is a critical task for an urban area as this assists traffic operation teams and local authorities to identify the limitations of traffic infrastructure during an evacuation process through examining various parameters such as evacuation time. In an evacuation, there may be severe and unpredictable damage to the infrastructure of a city such as the loss of power, telecommunications and transportation links. Traffic modelling of a large-scale evacuation is more challenging than modelling the traffic for a typical day as historical data is usually available for typical days, whereas each disaster and evacuation are typically one-off or rare events. Damage due to a disaster, combined with a sudden increase of demand due to the evacuation of people will likely result in increased pressure on the remaining, potentially fragmented, infrastructure. The lessons learnt from evacuation modelling can assist traffic operation teams and local authorities to provide safer and more efficient planning. The development of pervasive personal digital devices such as phones, watches, and headphones which can be interconnected with technologies such as Bluetooth, has led to a disruptive change in the ways in which local governments can monitor traffic flows within their cities. Moreover, modern vehicles and navigation systems can interconnect to the personal devices of drivers and passengers primarily via Bluetooth technologies. By continuously monitoring such devices when they are discoverable and in range, traffic patterns can be estimated based on, not only the volume of detection, but also other characteristics of the devices that can be used to give more refined estimates of the real underlying traffic flows. This thesis examines Bluetooth traffic data collected from Bluetooth Traffic Monitoring Systems (BTMS) for modelling and monitoring the urban traffic. BTMS can monitor and track individual detected vehicles through a city. Installation, processing, data transmission, and maintenance of BTMS are easier, quicker and cheaper than existing standard monitoring systems such as CCTV cameras and inductive loops. Inductive loops are typically point-wise traffic monitoring systems that are installed in the roads and can measure the traffic flow. However, the use of BTMS devices presents several challenges: not every vehicle has a detectable device, some have many, and there are devices carried by pedestrians and non-motor vehicles as well as stationary devices. This thesis enumerates and investigates these challenges through statistical modelling, various protocols for cleaning and data preparation, dynamic estimation of the detection rate, and simulation through the case study of the city of Wellington, New Zealand. The city of Wellington experienced damage from the 2016 Kaikoura earthquake (a magnitude 7.8 earthquake), which led to road closures and other infrastructure damage. As part of modelling, performance evaluation, and identifying impacted routes by the 2016 Kaikoura earthquake, this thesis analyses three weeks of BTMS data from the periods before and after the earthquake. Furthermore, this thesis proposes a multi-disciplinary dynamic traffic modelling (TFDA2M) framework and evaluates the performance of TFDA2M on various large-scale evacuation scenarios. These scenarios cover a wide range of real-world use cases which may occur during a disaster such as power failure, an abrupt increase in demand, and damage to the main transportation infrastructure. The findings of this thesis highlight an immediate need for preparations of a large-scale evacuation planning for Wellington to mitigate the consequences of a large-scale evacuation due to a future disaster. Moreover, TFDA2M can assist traffic operation managers and authorities in making smarter decisions (both quantitative and spatially) through the simulation process. Since TFDA2M has a flexible schema, it can be set to monitor, assess, and manage the traffic flow on a daily basis and disaster occasions.</p>

show abstract

A Model for Traffic Simulation of Flared Rural Road Intersections

Cited by 5 publications

References 5 publications

Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility

Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility

Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications to Traffic Management

Using Bluetooth Detectors to Monitor Urban Traffic Flow with Applications to Traffic Management

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