scholarly journals Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 5997
Author(s):  
Suhaib Alshayeb ◽  
Aleksandar Stevanovic ◽  
Nikola Mitrovic ◽  
Branislav Dimitrijevic
Keyword(s):  
Dynamic Pricing ◽  
Traffic Congestion ◽  
Sensor Failure ◽  
Freeway Traffic ◽  
Traffic Demand ◽  
Traffic Conditions ◽  
Toll Pricing ◽  
The Impact ◽  
Express Lanes

Express lanes (ELs) implementation is a proven strategy to deal with freeway traffic congestion. Dynamic toll pricing schemes effectively achieve reliable travel time on ELs. The primary inputs for the typical dynamic pricing algorithms are vehicular volumes and speeds derived from the data collected by sensors installed along the ELs. Thus, the operation of dynamic pricing critically depends on the accuracy of data collected by such traffic sensors. However, no previous research has been conducted to explicitly investigate the impact of sensor failures and erroneous sensors’ data on toll computations. This research fills this gap by examining the effects of sensor failure and faulty detection scenarios on ELs tolls calculated by a dynamic pricing algorithm. The paper’s methodology relies on applying the dynamic toll pricing algorithm implemented in the field and utilizing the fundamental speed-volume relationship to ‘simulate’ the sensors’ reported data. We implemented the methodology in a case study of ELs on Interstate-95 in Southeast Florida. The results have shown that the tolls increase when sensors erroneously report higher than actual traffic demand. Moreover, it has been found that the accuracy of individual sensors and the number of sensors utilized to estimate traffic conditions are critical for accurate toll calculations.

Developing Guidelines for Implementing Transit Signal Priority and Freight Signal Priority Using Simulation Modeling and a Decision Tree Algorithm

2021 ◽  
pp. 036119812110575
Author(s):  
Shahadat Iqbal ◽  
Taraneh Ardalan ◽  
Mohammed Hadi ◽  
Evangelos Kaisar
Keyword(s):  
Decision Tree ◽  
Signal Control ◽  
Signal Timing ◽  
Transit Signal Priority ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
Traffic Demand ◽  
Capacity Ratio ◽  
The Impact

Transit signal priority (TSP) and freight signal priority (FSP) allow transportation agencies to prioritize signal service allocations considering the priority of vehicles and, potentially, decrease the impact signal control has on them. However, there have been no studies to develop guidelines for implementing signal control considering both TSP and FSP. This paper reports on a study conducted to provide such guidelines that employed a literature review, a simulation study, and a decision tree algorithm based on the simulation results. The guideline developed provides recommendations in accordance with the signal timing slack time, the proportion of major to minor street hourly volume, hourly truck volume per lane for the major street, hourly truck volume per lane for the minor street, the proportion of major to minor street hourly truck volume, the proportion of major to minor street hourly bus volume, the volume-to-capacity ratio for the major street, and the volume-to-capacity ratio for the minor street. The guideline developed was validated by implementing it for a case study facility. The validation result showed that the guideline works correctly for both high and low traffic demand.

scholarly journals The Feasibility of Opening Communities -- Based on the Wiedemann Car-Following Model

2018 ◽  
Vol 11 (3) ◽  
pp. 57
Author(s):  
Xiao-Yan Cao ◽  
Bing-Qian Liu ◽  
Bao-Ru Pan ◽  
Yuan-Biao Zhang
Keyword(s):  
Traffic Congestion ◽  
Large Scale ◽  
Gated Communities ◽  
Urban Traffic ◽  
Average Delay ◽  
Traffic Demand ◽  
Car Following ◽  
Car Following Model ◽  
Urbanization In China ◽  
The Impact

With the accelerating development of urbanization in China, the increasing traffic demand and large scale gated communities have aggravated urban traffic congestion. This paper studies the impact of communities opening on road network structure and the surrounding road capacity. Firstly, we select four indicators, namely average speed, vehicle flow, average delay time, and queue length, to measure traffic capacity. Secondly, we establish the Wiedemann car-following model, then use VISSIM software to simulate the traffic conditions of surrounding roads of communities. Finally, we take Shenzhen as an example to simulate and compare the four kinds of gated communities, axis, centripetal and intensive layout, and we also analyze the feasibility of opening communities.

scholarly journals Applying a Model for Trip Assignment and Dynamic Routing of Automated Taxis with Congestion: System Performance in the City of Delft, The Netherlands

2018 ◽  
Vol 2672 (8) ◽  
pp. 588-598 ◽  
Author(s):  
Xiao Liang ◽  
Gonçalo Homem de Almeida Correia ◽  
Bart van Arem
Keyword(s):  
The Netherlands ◽  
Real Time ◽  
Traffic Congestion ◽  
Programming Model ◽  
Profit Maximization ◽  
The Real ◽  
Real Size ◽  
The Impact ◽  
The City

This paper proposes a method of assigning trips to automated taxis (ATs) and designing the routes of those vehicles in an urban road network, and also considering the traffic congestion caused by this dynamic responsive service. The system is envisioned to provide a seamless door-to-door service within a city area for all passenger origins and destinations. An integer programming model is proposed to define the routing of the vehicles according to a profit maximization function, depending on the dynamic travel times, which varies with the ATs’ flow. This will be especially important when the number of automated vehicles (AVs) circulating on the roads is high enough that their routing will cause delays. This system should be able to serve not only the reserved travel requests, but also some real-time requests. A rolling horizon scheme is used to divide one day into several periods in which both the real-time and the booked demand will be considered together. The model was applied to the real size case study city of Delft, the Netherlands. The results allow assessing of the impact of the ATs movements on traffic congestion and the profitability of the system. From this case-study, it is possible to conclude that taking into account the effect of the vehicle flows on travel time leads to changes in the system profit, the satisfied percentage and the driving distance of the vehicles, which highlights the importance of this type of model in the assessment of the operational effects of ATs in the future.

scholarly journals Analysis of Children’s Traffic Behaviour at Signalized Crosswalks as a Precondition for Safe Children Routes Design: A Case Study from Croatia

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Irena Ištoka Otković ◽  
Aleksandra Deluka-Tibljaš ◽  
Sanja Šurdonja
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Daily Basis ◽  
Children And Adolescent ◽  
Traffic Conditions ◽  
Road Users ◽  
Design Speed ◽  
Pedestrian Infrastructure ◽  
The Impact

Children pedestrians represent road users with some specifics because of which it is important to study and take into account their traffic behaviour when traffic infrastructure is designed. Design should ensure and enhance their traffic safety because for decades, traffic accidents have been among the first few causes of children and adolescent mortality. Pedestrian speed is one of the important inputs when pedestrian infrastructure, especially crosswalks, is designed. On corridors where children are expected on a daily basis as independent pedestrians, the infrastructure should be adjusted to their characteristics and needs. The results of a study conducted in two Croatian cities of a similar size but of different urban and traffic conditions are presented in this paper. This study aimed at establishing and analysing children’s pedestrian speed while crossing the signalized crosswalk in the buffer area of elementary schools, mostly on primary roads in the school vicinity. Children aged 5–15 were observed, and accordingly V15, V50, and V85 speeds were established on the basis of altogether 600 measurements. Speed was established for children walking individually, in a group and supervised by adults, and of a different age, and based on their gender, the impact of infrastructural elements on their speed in traffic was also analysed. Significant differences were found between children’s speed measured in similar conditions in analysed cities and between some of the analysed groups. This fact proves that when improving conditions for children’s independent movement, it is important to consider their specifics in order to ensure safe design adjusted to children’s needs and limitations. As design speed in this paper, 15 percentile speed (V15) is considered. Suggestions on how to establish children pedestrian speed for design of routes regularly used by school children are proposed as well as some inputs elicited from the study done in Croatia are presented.

scholarly journals Design of a Methodology to Evaluate the Impact of Demand-Side Management in the Planning of Isolated/Islanded Microgrids

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3459
Author(s):  
Juan Carlos Oviedo Cepeda ◽  
German Osma-Pinto ◽  
Robin Roche ◽  
Cesar Duarte ◽  
Javier Solano ◽  
...  
Keyword(s):  
Dynamic Pricing ◽  
Demand Side Management ◽  
The Other ◽  
Energy Utilization ◽  
Demand Side ◽  
Optimal Dispatch ◽  
Cost Of Energy ◽  
The Impact ◽  
Planning And Operation

The integration of Demand-Side Management (DSM) in the planning of Isolated/Islanded Microgrids (IMGs) can potentially reduce total costs and customer payments or increase renewable energy utilization. Despite these benefits, there is a paucity in literature exploring how DSM affects the planning and operation of IMGs. The present work compares the effects of five different strategies of DSM in the planning of IMGs to fulfill the gaps found in the literature. The present work embodies a Disciplined Convex Stochastic Programming formulation that integrates the planning and operation of IMGs using three optimization levels. The first level finds the capacities of the energy sources of the IMG. The second and third levels use a rolling horizon for setting the day-ahead prices or the stimulus of the DSM and the day-ahead optimal dispatch strategy of the IMG, respectively. A case study shows that the Day-Ahead Dynamic Pricing DSM and the Incentive-Based Pricing DSM reduce the total costs and the Levelized Cost of Energy of the project more than the other DSMs. In contrast, the Time of Use DSM reduces the payments of the customers and increases the delivered energy more than the other DSMs.

scholarly journals Road Traffic Status and Carbon Emission Estimation Methods

2020 ◽  
Vol 7 (2) ◽  
pp. p34
Author(s):  
Yang Kaixi
Keyword(s):  
Carbon Emissions ◽  
Traffic Congestion ◽  
Carbon Emission ◽  
Evaluation Method ◽  
Road Traffic ◽  
Estimation Methods ◽  
Vehicle Exhaust ◽  
Emission Data ◽  
Traffic Conditions ◽  
The Impact

This paper mainly studies the relationship between traffic status and carbon emission, and the evaluation method of carbon emission based on traffic status. First of all, the traffic status is defined. In this paper, the traffic status is divided into traffic congestion and unobstructed traffic. Then, this paper analyzes the influence of different traffic conditions on carbon emissions in the same fleet at the same time through the study of vehicle exhaust emissions in both the unobstructed and congested traffic conditions. The unobstructed section traffic is used to simulate the unobstructed traffic state, and the intersection is used to simulate the traffic congestion. Finally, the two kinds of carbon emission data are compared to obtain the impact of traffic status on carbon emissions.

scholarly journals The Necessity for a Sustainable Transport System in Beirut: The Case Study of Corniche El Mazraa Arterial

2017 ◽  
Vol 2 (4) ◽  
pp. 10
Author(s):  
Najib Nicolas Gerges ◽  
Mazen Omran ◽  
Mohammad Saad
Keyword(s):  
Transport System ◽  
Traffic Congestion ◽  
Capital City ◽  
Mitigation Measures ◽  
Sustainable Transport ◽  
Traffic Condition ◽  
Public Transport System ◽  
Traffic Conditions ◽  
The City

Corniche El Mazraa Road, one of the major arterial of Beirut – the capital city of Lebanon – is characterized by severe traffic congestion spreading over extended peak periods during the day.  This is jeopardizing the transport system risking of halting the functionality of the city in addition to economic and environmental losses.  The authors examined a number of mitigation measures to improve the traffic condition along Corniche El Mazraa Road.  The only solution that could result in tangible improvements in the traffic conditions, in such an urban dense environment, is the introduction of a reliable public transport system.        

scholarly journals Nottingham Express Transit

2018 ◽  
Vol 19 (1) ◽  
pp. 56-68 ◽  
Author(s):  
John Disney ◽  
Will Rossiter ◽  
David J Smith
Keyword(s):  
United Kingdom ◽  
Air Quality ◽  
Carbon Emissions ◽  
Traffic Congestion ◽  
New Technologies ◽  
Detailed Examination ◽  
Light Rail ◽  
The United Kingdom ◽  
The Impact

Traffic congestion at peak times has long been a problem facing cities in the United Kingdom.1 Latterly concern about combating congestion has been hightened by worries over carbon emissions and poor air quality. In tackling these problems, green innovations incorporating new technologies appear to have much to offer, although progress in implementing these sorts of innovation appears to have been slow. This case study analyses the efforts of one city to tackle these problems by pioneering a number of green innovations including the introduction of a light rail system employing trams known as Nottingham Express Transit as well as electric and gas-powered buses. The nature of these innovations is explored together with a detailed examination of how they came to be implemented and the impact they have had.

scholarly journals Car Following Behaviours on Multilane Highways in Kuwait: A Case Study on Road 40 during Winter Season

2021 ◽  
Author(s):  
Eisa Alenzi ◽  
◽  
Sitti Asmah Hassan ◽  
Othman Che Puan ◽  
◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Influencing Factor ◽  
Winter Season ◽  
Weather Conditions ◽  
Car Following ◽  
Speed Flow ◽  
Safety Awareness ◽  
Road Geometry ◽  
The Impact

The car following behaviour of a driver is the process of following the drivers to create an adjustment in the leading vehicle behaviour. In a condition, where the traffic volume is in a free-flowing situation, the selection of vehicles speed is typically limited by some factors such as weather conditions, lighting, and road geometry features. This study aims to investigate the effects of climates on driver’s car following behaviour and speed flow relationships for highways in Kuwait. The case study was conducted at Road 40 in Kuwait using RTMS Sx-300 device which is known as a radar device particularly used for monitoring traffic. The data was gathered between the periods from 29th December 2018 to 5th January 2019 within winter. MATLAB code was written to analyse and classify the gathered data. Then, the models were built using R-software. The study depicts that nearly 24.87% of the vehicles move between 60 km/h and 69 km/hour. Additionally, the vehicles were segmented according to their types i.e., Truck, Small, Medium and Large Sized Cars, in order to find the impact of following pattern on the vehicle average. It has been found that no significant association remains amidst the type of following pattern and the headway. Ultimately, a liner regression of data was developed to calculate a liner equation that shows the average headway as an element of speed for sixteen diverse following patterns. It has been recognized that an association could be supposed in medium-sized and small-sized vehicles. It has been observed that headway average could be placed in a linear equation for large, medium, and small as well as truck vehicles. It is worthy to denote that when data is bigger, the exactitude of a study enhances. Findings from each model of liner regression has more than 80% confidence level. The models of regression are deliberated as statistically significant where, the R (square) figures lies amidst 0.99 till 0.6. As per the findings, speed is the key influencing factor for headway value. The type of car does affect headway with drivers behind Heavy Good Vehicles and cars at the similar speed. According to the data, cars are identified to keep more headway when behind Heavy Good Vehicles in contrast with when behind other cars. These results will help the drivers to understand their behaviour that are associated with car crashes. Thus, increase road safety awareness and reduce traffic congestion in Kuwait.

scholarly journals Quantifying the Impact of Traffic on Electric Vehicle Efficiency

2022 ◽  
Vol 13 (1) ◽  
pp. 15
Author(s):  
Tim Jonas ◽  
Christopher D. Hunter ◽  
Gretchen A. Macht
Keyword(s):  
Electric Vehicle ◽  
Traffic Congestion ◽  
Base Case ◽  
Traffic Intensity ◽  
Case Scenario ◽  
Base Case Scenario ◽  
Traffic Conditions ◽  
Traffic Scenario ◽  
Morning Commute ◽  
The Impact

While the influence of several factors on battery electric vehicle (BEV) efficiency has been investigated in the past, their impact on traffic is not yet fully understood, especially when driving in a natural environment. This paper investigates the influence of driving in intense traffic conditions while considering the ambient temperature and driving behavior on BEV energy efficiency in a field study. A total of 30 BEV inexperienced drivers test drove a 2017 Volkswagen eGolf on a route with various road types in two different traffic intensity scenarios: During morning commute hours with higher traffic congestion and lower congestion hours throughout the middle of the day. Results support the hypothesis that traffic conditions significantly impact the vehicle’s efficiency, with additional consumption of approximately 4–5% in the high traffic scenario. By creating and comparing driving in traffic to an underlying base case scenario, the additional range potential by avoiding traffic for this particular vehicle can be quantified as up to seven miles. New patterns of BEV efficiencies emerged, which can help stakeholders understand how eco-driving can be strategically improved by selecting trip times and routes that avoid high traffic intensity.

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