Intelligence in traffic simulation model: Modeling congested network

2021 ◽  
pp. 1-7
Author(s):  
Joonho Ko ◽  
Hyun Woong Cho ◽  
Jung In Kim ◽  
Hyunmyung Kim ◽  
Young-Joo Lee ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Transportation Systems ◽  
Priority Rules ◽  
Traffic Demand ◽  
Congested Traffic ◽  
Traffic Conditions ◽  
Trip Chain ◽  
The Difference

Traffic simulation tools are becoming more popular as complexity and intelligence are growing in transportation systems. The need for more accurate and intelligent traffic modeling is increasing rapidly as transportation systems are having more congestion problems. Although traffic simulation models have been continuously updated to represent various traffic conditions more realistically, most simulation models still have limitations in overcapacity congested traffic conditions. In traditional traffic simulation models, when there is no available space due to traffic congestion, additional traffic demand may never be allowed to enter the network. The objective of this paper is to investigate one possible method to address the issue of unserved vehicles in overcapacity congested traffic conditions using the VISSIM trip chain. The VISSIM trip chain is used for this analysis as it has the advantage of holding a vehicle without eliminating it when traffic congestion prevents its entrance onto a network. This will allow the vehicle to enter when an acceptable gap becomes available on the entry link. To demonstrate the difference between the simulation using standard traffic input and the trip chain method, a sample congested traffic network is built and congested traffic scenarios are created. Also, simulations with different minimum space headway parameters in the priority rules are analyzed to model congested traffic conditions more realistically. This will provide the insight about the sensitivity of the model to this parameter. Based on the analysis conducted it is concluded that, with appropriate calibrations, the trip chain feature in VISSIM has the potentials to be useful in modeling overcapacity congested traffic conditions more realistically.

INFLUENCE OF BUS BAY AND CURBSIDE BUS STOP IN AN URBAN ROAD

2020 ◽  
Vol 8 (3) ◽  
pp. 14-19
Author(s):  
Saurav Barua
Keyword(s):  
Traffic Congestion ◽  
Simulation Models ◽  
Good Alternative ◽  
Road Segment ◽  
Dhaka City ◽  
Average Speed ◽  
Urban Road ◽  
Traffic Conditions ◽  
Bus Stop ◽  
Bus Stops

Purpose of Study: The purpose of this study is to investigate the efficiency of bus bay compare to the curbside bus stop in a midblock road segment of Dhaka city. Methodology: Vehicle composition and traffic volume were counted on-peak hours for the midblock of Azimpur road near the existing bus stop. Simulation models were developed in VISSIM, where Model 1 represented the existing road scenario with curbside bus stop, and Model 2 represented the same road segment with a bus bay. Main findings: The simulation result showed that Model 2 outperformed Model 1 due to the presence of bus bay. Comparing Model 1, travel time and delay reduced by varying 1.80% to 12.5% and 6.25% to 100% respectively in Model 2 during the simulation. Similarly, average speed increased by 1.39% and density decreased by 61.29% in model 2. Application of this study: Curbside bus stops result in abrupt halt, disrupt traffic flow, and queuing of the small-sized vehicle behind buses. These bus stops caused traffic congestion and delays in urban roads which can be alleviated by alternatives, such as, bus bay. The novelty of this study: The bus bay is a good alternative to the curbside bus stop, which can improve existing traffic conditions in urban roads.

scholarly journals IoT based Real Time Traffic Monitoring System Using M/G/1 Queuing Research

2019 ◽  
Vol 8 (6) ◽  
pp. 3818-3822
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Queuing Theory ◽  
Traffic Monitoring ◽  
Transportation Systems ◽  
Theory Approach ◽  
The Road ◽  
Traffic Conditions ◽  
Performance Framework ◽  
Real Time Traffic

Vehicular Traffic crowding is paramount worry in urban cities. The use of technologies like Intelligent Transportation systems and Internet of Things can solve the problem of traffic congestion to some extent. The paper analyses the traffic conditions on a particular urban highway using queuing theory approach. It researches on performance framework such as time for waiting and queue length. The results can provide significant analysis to predict traffic congestion during peak hours. A congestion controlling action can be generated to utilize the road capacity fully during peak hours by using these results

Microscopic simulation of lane changing behaviour at freeway weaving sections

1999 ◽  
Vol 26 (6) ◽  
pp. 840-851 ◽  
Author(s):  
A F Al-Kaisy ◽  
J A Stewart ◽  
M Van Aerde
Keyword(s):  
Simulation Model ◽  
Empirical Data ◽  
Intelligent Transportation Systems ◽  
Traffic Simulation ◽  
Essential Element ◽  
Simulation Models ◽  
Transportation Systems ◽  
Microscopic Simulation ◽  
Lane Changing ◽  
Microscopic Traffic Simulation

Microscopic traffic simulation models are being increasingly used to evaluate Intelligent Transportation Systems (ITS) strategies and to complement empirical data in developing new analytical procedures and methodologies. Lane changing rules are an essential element of any microscopic traffic simulation model. While most of these rules are based on theories and hypotheses, to date no attempt has been made to investigate the consistency of lane changing behaviour from microscopic simulation with empirical observations. The research presented in this paper examined this consistency at freeway weaving areas using empirical data. These data were collected in the late 1980s at several major freeway weaving sections in the State of California. The microscopic traffic simulation model INTEGRATION was used to perform simulation experiments in this research. Vehicle distributions, both total and by type of movement, were used as measures to investigate the lane changing activity that took place at these freeway areas. This examination revealed significant agreement between patterns of lane changing behaviour as observed in the field and as reproduced by microscopic simulation. Most quantitative discrepancies were shown to be a function of user-specified input data or due to some inherent limitations in the empirical data.Key words: simulation, lane changing, weaving, freeways.

On Modeling and Verification of Agent-Based Traffic Simulation Properties in Alloy

2012 ◽  
Vol 4 (4) ◽  
pp. 38-60 ◽  
Author(s):  
Junia Valente ◽  
Frederico Araujo ◽  
Rym Z. Wenkstern
Keyword(s):  
Intelligent Transportation Systems ◽  
Large Scale ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Agent Based ◽  
Traffic Models ◽  
First Order ◽  
New Generation

The advances in Intelligent Transportation Systems (ITS) call for a new generation of traffic simulation models that support connectivity and collaboration among simulated vehicles and traffic infrastructure. In this paper we introduce MATISSE, a complex, large scale agent-based framework for the modeling and simulation of ITS and discuss how Alloy, a modeling language based on set theory and first order logic, was used to specify, verify, and analyze MATISSE’s traffic models.

Assessment of Queue Length and Delay at Toll Plaza Using Microscopic Traffic Simulation

2015 ◽  
Vol 802 ◽  
pp. 387-392 ◽  
Author(s):  
Mohammed Bally Mahdi ◽  
Lee Vien Leong
Keyword(s):  
Traffic Congestion ◽  
Queue Length ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Simulation Software ◽  
Average Delay ◽  
Microscopic Traffic Simulation ◽  
Traffic Pattern ◽  
Toll Plazas ◽  
Toll Plaza

Highways and freeways usually experience severe traffic congestion due to the presence of toll plazas which is considered as a bottleneck. In recent years, traffic engineers around the world have utilised microscopic traffic simulation models as tools to evaluate the performance of selected freeway facilities based on known traffic pattern data. This study attempts to analyse the performance of toll plaza by utilizing the microscopic traffic simulation software VISSIM 6.0, based on two different output measures, namely: average queue length and average delay time. At the selected toll plaza, data are collected at toll booths for all three modes of payments, which are: cash mode, Touch n Go, and Smart TAG. Therefore, this study aims to build a microscopic traffic simulation model that is capable of analysing the behaviour of vehicles at toll plaza based on the mentioned output measures for each mode of payment and also to determine the type of payment mode that has the most significant impact on the overall performance of toll plazas and ultimately, to understand the causes of congestion at toll plaza.

scholarly journals A Hybrid Method for Predicting Traffic Congestion during Peak Hours in the Subway System of Shenzhen

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 150 ◽  
Author(s):  
Zhenwei Luo ◽  
Yu Zhang ◽  
Lin Li ◽  
Biao He ◽  
Chengming Li ◽  
...  
Keyword(s):  
Hybrid Method ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Transportation Systems ◽  
Negative Effects ◽  
Agent Based ◽  
Traffic Demand ◽  
Assignment Model ◽  
Subway System

Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes delays and negative effects for passengers. Many studies have examined the prediction of congestion; however, these studies focus mainly on road traffic, and subway transit, which is the main form of transportation in densely populated cities, such as Tokyo, Paris, and Beijing and Shenzhen in China, has seldom been examined. This study takes Shenzhen as a case study for predicting congestion in a subway system during peak hours and proposes a hybrid method that combines a static traffic assignment model with an agent-based dynamic traffic simulation model to estimate recurrent congestion in this subway system. The homes and work places of the residents in this city are collected and taken to represent the traffic demand for the subway system of Shenzhen. An origin-destination (OD) matrix derived from the data is used as an input in this method of predicting traffic, and the traffic congestion is presented in simulations. To evaluate the predictions, data on the congestion condition of subway segments that are released daily by the Shenzhen metro operation microblog are used as a reference, and a comparative analysis indicates the appropriateness of the proposed method. This study could be taken as an example for similar studies that model subway traffic in other cities.

scholarly journals A Centralized Route-Management Solution for Autonomous Vehicles in Urban Areas

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 722 ◽  
Author(s):  
Jorge Zambrano-Martinez ◽  
Carlos Calafate ◽  
David Soler ◽  
Lenin-Guillermo Lemus-Zúñiga ◽  
Juan-Carlos Cano ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Autonomous Vehicles ◽  
Traffic Management ◽  
Real Data ◽  
Prediction Equation ◽  
City Management ◽  
Traffic Demand ◽  
Traffic Conditions

Currently, one of the main challenges that large metropolitan areas must face is traffic congestion. To address this problem, it becomes necessary to implement an efficient solution to control traffic that generates benefits for citizens, such as reducing vehicle journey times and, consequently, environmental pollution. By properly analyzing traffic demand, it is possible to predict future traffic conditions, using this information for the optimization of the routes taken by vehicles. Such an approach becomes especially effective if applied in the context of autonomous vehicles, which have a more predictable behavior, thus enabling city management entities to mitigate the effects of traffic congestion and pollution, thereby improving the traffic flow in a city in a fully centralized manner. This paper represents a step forward towards this novel traffic management paradigm by proposing a route server capable of handling all the traffic in a city, and balancing traffic flows by accounting for present and future traffic congestion conditions. We perform a simulation study using real data of traffic congestion in the city of Valencia, Spain, to demonstrate how the traffic flow in a typical day can be improved using our proposed solution. Experimental results show that our proposed traffic prediction equation, combined with frequent updating of traffic conditions on the route server, can achieve substantial improvements in terms of average travel speeds and travel times, both indicators of lower degrees of congestion and improved traffic fluidity.

Variations in Capacity and Delay Estimates from Microscopic Traffic Simulation Models

2002 ◽  
Vol 1802 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Zong Z. Tian ◽  
Thomas Urbanik ◽  
Roelof Engelbrecht ◽  
Kevin Balke
Keyword(s):  
Performance Measures ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Accurate Estimate ◽  
Microscopic Simulation ◽  
Link Length ◽  
Microscopic Traffic Simulation ◽  
Traffic Demand ◽  
Headway Distribution ◽  
Simulated Network

One of the issues involved in using microscopic simulation models is the variation in the simulation results. This study examined some of the more popular microscopic traffic simulation models, CORSIM, SimTraffic, and VISSIM, and investigated the variations in the performance measures generated by these models. The study focused on the capacity and delay estimates at a signalized intersection. The effects of link length, speed, and vehicle headway generation distribution were also investigated. With regard to variations in performance measures, the study found that CORSIM yields the lowest variations, whereas SimTraffic yields the highest. The highest variation in each simulation model normally occurs when the traffic demand approaches capacity. It was also found that delays are affected by the link length and speed in simulation models. Such an impact on delays is closely related to the range of speed variations. In general, shorter links and higher link speeds result in lower delays. There is no strong evidence that the headway distribution used to generate vehicles in the simulated network has any effect on capacity and delay estimates. Multiple simulation runs are necessary to achieve an accurate estimate on the true system performance measures. With a 10% error range in estimated delay, two to five runs may be enough for under-capacity conditions, but more than 40 multiple runs may be necessary to accurately estimate delay at, near, or over capacity.

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.

scholarly journals Evaluating Operational Performance of Intersections Using SIDRA

2014 ◽  
Vol 8 (1) ◽  
pp. 50-61 ◽  
Author(s):  
Prakash Ranjitkar ◽  
Amin Shahin ◽  
Fasihullah Shirwali
Keyword(s):  
Traffic Congestion ◽  
Social Economic ◽  
Operational Efficiency ◽  
Operational Performance ◽  
Average Delay ◽  
Traffic Demand ◽  
Urban Road ◽  
Traffic Conditions ◽  
It Efficiency ◽  
Intersection Control

Traffic congestion has significant social, economic and environmental costs associated with it. Efficiency of intersections contributes significantly towards the efficiency of whole urban road networks as they are the main bottlenecks in the system. This paper presents a comparative analysis of the operational efficiency of priority controlled, roundabout and signalised intersections under a range of traffic conditions with different volume and turning ratios using SIDRA software. We used three measures to represent the operational efficiency namely: intersection capacity, average delay and total emissions. The analysis revealed strengths and weaknesses of each intersection types under a range of demand and traffic conditions. At low traffic demand, priority controlled intersections outperformed the other two forms of intersection control. At moderate traffic demand, roundabout performed the best while at high traffic demand, signalised intersections performed the best.

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