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Готові списки джерел за темами / Travel time (Traffic engineering) Simulation / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Travel time (Traffic engineering) Simulation.

Статті в журналах з теми "Travel time (Traffic engineering) Simulation"

Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 31 липня 2025

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1

Chien, Steven I. J., Xiaobo Liu, and Kaan Ozbay. "Predicting Travel Times for the South Jersey Real-Time Motorist Information System." Transportation Research Record: Journal of the Transportation Research Board 1855, no. 1 (2003): 32–40. http://dx.doi.org/10.3141/1855-04.

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A dynamic travel-time prediction model was developed for the South Jersey (southern New Jersey) motorist real-time information system. During development and evaluation of the model, the integration of traffic flow theory, measurement and application of collected data, and traffic simulation were considered. Reliable prediction results can be generated with limited historical real-time traffic data. In the study, acoustic sensors were installed at potential congested places to monitor traffic congestion. A developed simulation model was calibrated with the data collected from the sensors, and

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2

De Palma, André, Fabrice Marchal, and Yurii Nesterov. "METROPOLIS: Modular System for Dynamic Traffic Simulation." Transportation Research Record: Journal of the Transportation Research Board 1607, no. 1 (1997): 178–84. http://dx.doi.org/10.3141/1607-24.

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METROPOLIS proposes an interactive environment that simulates automobile traffic in large urban areas. The core of the system is a dynamic simulator that integrates commuters’ departure time and route choice behaviors over large networks: Drivers are assumed to minimize a generalized travel cost function that depends on travel time and schedule delay. This simulator is based on a behavioral driver information process. It allows real-time and off-line simulations. The system also includes a scenario builder and a graphical results viewer. The main ideas underlying METROPOLIS are presented, and

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3

Liu, Zhiguang, Tomio Miwa, Weiliang Zeng, Michael G. H. Bell, and Takayuki Morikawa. "Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information." Journal of Advanced Transportation 2018 (August 8, 2018): 1–13. http://dx.doi.org/10.1155/2018/8919721.

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Shared autonomous taxi systems (SATS) are being regarded as a promising means of improving travel flexibility. Each shared autonomous taxi (SAT) requires very precise traffic information to independently and accurately select its route. In this study, taxis were replaced with ride-sharing autonomous vehicles, and the potential benefits of utilizing collected travel-time information for path finding in the new taxi system examined. Specifically, four categories of available SATs for every taxi request were considered: currently empty, expected-empty, currently sharable, and expected-sharable. T

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4

Thomas, Natacha, and Bader Hafeez. "Simulation of an Arterial Incident Environment with Probe Reporting Capability." Transportation Research Record: Journal of the Transportation Research Board 1644, no. 1 (1998): 116–23. http://dx.doi.org/10.3141/1644-12.

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Intelligent transportation systems have created new traffic monitoring approaches and fueled new interests in automated incident detection systems. One new monitoring approach utilizes actual travel times experienced by vehicles, called probes, equipped to transmit this information in real time to a control center. The database needed to design and calibrate arterial incident detection systems based on probe travel times is nonexistent. A microscopic traffic simulation package, Integrated Traffic Simulation, was selected and enhanced to generate vehicle travel times for the incident and incide

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5

Kühne, Reinhart D., Karin Langbein-Euchner, Martin Hilliges, and Norbert Koch. "Evaluation of Compliance Rates and Travel Time Calculation for Automatic Alternative Route Guidance Systems on Freeways." Transportation Research Record: Journal of the Transportation Research Board 1554, no. 1 (1996): 153–61. http://dx.doi.org/10.1177/0361198196155400119.

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This study outlines the concept of extending an available simulation model for evaluation of freeway route guidance systems using the compliance rates of drivers with alternative route recommendations based on measurements from the freeway subnetwork near Munich, Germany. The system works with variable direction signs that automatically display routing instructions to prevent congestion on the main road. The effectiveness of the system is assessed by calculating the travel times with and without an alternative route guidance system in operation. The result is a decrease in individual travel ti

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6

Zhang, Kuilin, Hani S. Mahmassani, and Chung-Cheng Lu. "Probit-Based Time-Dependent Stochastic User Equilibrium Traffic Assignment Model." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 86–94. http://dx.doi.org/10.3141/2085-10.

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This study presents a time-dependent stochastic user equilibrium (TDSUE) traffic assignment model within a probit-based path choice decision framework that explicitly takes into account temporal and spatial correlation (traveler interactions) in travel disutilities across a set of paths. The TDSUE problem, which aims to find time-dependent SUE path flows, is formulated as a fixed-point problem and solved by a simulation-based method of successive averages algorithm. A mesoscopic traffic simulator is employed to determine (experienced) time-dependent travel disutilities. A time-dependent shorte

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7

Kwon, Jaimyoung, Benjamin Coifman, and Peter Bickel. "Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data." Transportation Research Record: Journal of the Transportation Research Board 1717, no. 1 (2000): 120–29. http://dx.doi.org/10.3141/1717-15.

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An approach is presented for estimating future travel times on a freeway using flow and occupancy data from single-loop detectors and historical travel-time information. Linear regression, with the stepwise-variable-selection method and more advanced tree-based methods, is used. The analysis considers forecasts ranging from a few minutes into the future up to an hour ahead. Leave-a-day-out cross-validation was used to evaluate the prediction errors without underestimation. The current traffic state proved to be a good predictor for the near future, up to 20 min, whereas historical data are mor

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8

Wu, Zifeng, Laurence R. Rilett, and Yifeng Chen. "Evaluating the Impact of Highway-Railway Grade Crossings on Travel Time Reliability on a Highway Network Level." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 10 (2018): 1–11. http://dx.doi.org/10.1177/0361198118792756.

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Highway-rail grade crossings (HRGCs) have a range of safety and operational impacts on highway traffic networks. This paper illustrates a methodology for evaluating travel-time reliability for the routes and networks affected by trains traveling through HRGCs. A sub-area network including three HRGCs is used as the study network, and a simulation model calibrated to local traffic conditions and signal preemption strategies using field data is used as the platform to generate travel time data for analysis. Time-dependent reliability intervals for route travel time are generated based on route t

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9

Ma, Zhengfeng, Darong Huang, Changguang Li, and Jianhua Guo. "Travel Time Reliability-Based Signal Timing Optimization for Urban Road Traffic Network Control." Mathematical Problems in Engineering 2020 (December 1, 2020): 1–11. http://dx.doi.org/10.1155/2020/8898062.

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Due to increasing traffic demand, many metropolitan areas are experiencing extensive traffic congestion, which demands for efficient traffic signal timing and optimization. However, conventional efficiency measure-based signal optimization cannot handle the ubiquitous uncertainty in the road networks, demanding for the incorporation of reliability measures into signal optimization, which is still in its early stage. Therefore, targeting this issue, based on the recent studies on recognizing travel time reliability (TRR) as an important reliability measure of road networks, a travel time reliab

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10

Jayan, Akhilesh, and Sasidharan Premakumari Anusha. "Travel Time Prediction under Mixed Traffic Conditions Using RFID and Bluetooth Sensors." Periodica Polytechnica Transportation Engineering 48, no. 3 (2019): 276–89. http://dx.doi.org/10.3311/pptr.13779.

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Travel time information is an integral part in various ITS applications such as Advanced Traveler Information System, Advanced Traffic Management Systems etc. Travel time data can be collected manually or by using advanced sensors. In this study, suitability of Bluetooth and RFID (Radio Frequency Identifier) sensors for data collection under mixed traffic conditions as prevailing in India is explored. Reliability analysis was carried out using Cumulative Frequency Diagrams (CFDs) and buffer time index along with evaluation of penetration rate and match rate of RFID and Bluetooth sensors. Furth

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11

El Esawey, Mohamed, and Tarek Sayed. "Travel time estimation in urban networks using limited probes data." Canadian Journal of Civil Engineering 38, no. 3 (2011): 305–18. http://dx.doi.org/10.1139/l11-001.

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Travel time is a simple and robust network performance measure that is well understood by the public. However, travel time data collection can be costly especially if the analysis area is large. This research proposes a solution to the problem of limited network sensor coverage caused by insufficient sample size of probe vehicles or inadequate numbers of fixed sensors. Within a homogeneous road network, nearby links of similar character are exposed to comparable traffic conditions, and therefore, their travel times are likely to be positively correlated. This correlation can be useful in devel

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12

Chen, Mei, and Steven I. J. Chien. "Determining the Number of Probe Vehicles for Freeway Travel Time Estimation by Microscopic Simulation." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (2000): 61–68. http://dx.doi.org/10.3141/1719-08.

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Using probe vehicles to collect real-time traffic information is considered an efficient method in real-world applications. How to determine the minimum number of probe vehicles required for accurate estimate of link travel time is a question of increasing interest. Although it usually is assumed that link travel time is normally distributed, it is shown, on the basis of simulation results, that sometimes this is not true. A heuristic of determining the minimum number of probe vehicles required is developed to accommodate this situation. In addition, the impact of traffic volume on the require

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13

Shehada, Mohammad K. H., and Alexandra Kondyli. "Evaluation of Ramp Metering Impacts on Travel Time Reliability and Traffic Operations through Simulation." Journal of Advanced Transportation 2019 (January 20, 2019): 1–12. http://dx.doi.org/10.1155/2019/8740158.

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Ramp metering has been found to improve traffic conditions on the freeway mainline by breaking the platoons of ramp vehicles minimizing turbulence at the merge locations. The majority of the ramp metering evaluation studies have examined traffic performance under specific demand conditions, whereas travel time reliability and variability aspects have not been adequately addressed. This paper focuses on evaluating two well-known ramp metering algorithms in terms of travel time reliability as well as other performance measures such as queue lengths, throughput, and congestion duration, looking a

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14

Suzuki, Hironori, Takashi Nakatsuji, Yordphol Tanaboriboon, and Kiyoshi Takahashi. "Dynamic Estimation of Origin-Destination Travel Time and Flow on a Long Freeway Corridor: Neural Kalman Filter." Transportation Research Record: Journal of the Transportation Research Board 1739, no. 1 (2000): 67–75. http://dx.doi.org/10.3141/1739-09.

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A model was formulated for estimating dynamic origin-destination (O-D) travel time and flow on a long freeway with a neural Kalman filter originally developed by the authors. The model predicts O-D travel times and flows simultaneously by using traffic detector data such as link traffic volumes, spot speeds, and off-ramp volumes. The model is based on a Kalman filter that consists of two equations: state and measurement. First, the state and measurement equations of the Kalman filter were modified to consider the influence of traffic states for some previous time steps. Then artificial neural

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15

Hansen, Blake G., Peter T. Martin, and H. Joseph Perrin. "SCOOT Real-Time Adaptive Control in a CORSIM Simulation Environment." Transportation Research Record: Journal of the Transportation Research Board 1727, no. 1 (2000): 27–30. http://dx.doi.org/10.3141/1727-04.

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The manner in which the adaptive signal control system SCOOT (Split, Cycle, Offset Optimization Technique) has been connected to the CORSIM traffic simulation model is described. To demonstrate the connection, CORSIM simulates the traffic activity of a six-node traffic network under SCOOT’s adaptive traffic signal control. CORSIM’s “virtual detectors” provide the necessary data for SCOOT optimization in real time. In a completed loop, the optimized signal timing is then communicated from SCOOT to CORSIM, which implements the timing and updates the traffic simulation. This means that SCOOT is n

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16

Agafonov, Anton, Alexander Yumaganov, and Vladislav Myasnikov. "Cooperative Control for Signalized Intersections in Intelligent Connected Vehicle Environments." Mathematics 11, no. 6 (2023): 1540. http://dx.doi.org/10.3390/math11061540.

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Cooperative control of vehicle trajectories and traffic signal phases is a promising approach to improving the efficiency and safety of transportation systems. This type of traffic flow control refers to the coordination and optimization of vehicle trajectories and traffic signal phases to reduce congestion, travel time, and fuel consumption. In this paper, we propose a cooperative control method that combines a model predictive control algorithm for adaptive traffic signal control and a trajectory construction algorithm. For traffic signal phase selection, the proposed modification of the ada

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17

Cortés, Cristián E., Riju Lavanya, Jun-Seok Oh, and R. Jayakrishnan. "General-Purpose Methodology for Estimating Link Travel Time with Multiple-Point Detection of Traffic." Transportation Research Record: Journal of the Transportation Research Board 1802, no. 1 (2002): 181–89. http://dx.doi.org/10.3141/1802-20.

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A methodology was developed to find appropriate travel times for highway links using data from point detectors that could be at various points within the link or could even be outside the link. The travel times were found using a definition that the appropriate value is the one experienced by a virtual vehicle reaching the midpoint of the link at the midpoint of the time step. A simple iterative scheme was proposed to find the travel time profiles. The accuracy of the scheme depends on whether aggregated detector data or individual vehicle spot speeds are used. Comparison of estimated travel t

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18

Kim, Seung-Jun, Wonho Kim, and L. R. Rilett. "Calibration of Microsimulation Models Using Nonparametric Statistical Techniques." Transportation Research Record: Journal of the Transportation Research Board 1935, no. 1 (2005): 111–19. http://dx.doi.org/10.1177/0361198105193500113.

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The calibration of traffic microsimulation models has received widespread attention in transportation modeling. A recent concern is whether these models can simulate traffic conditions realistically. The recent widespread deployment of intelligent transportation systems in North America has provided an opportunity to obtain traffic-related data. In some cases the distribution of the traffic data rather than simple measures of central tendency such as the mean, is available. This paper examines a method for calibrating traffic microsimulation models so that simulation results, such as travel ti

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19

Shokrolah Shirazi, Mohammad, Hung-Fu Chang, and Shahab Tayeb. "Turning Movement Count Data Integration Methods for Intersection Analysis and Traffic Signal Design." Sensors 22, no. 19 (2022): 7111. http://dx.doi.org/10.3390/s22197111.

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Traffic simulation is widely used for modeling, planning, and analyzing different strategies for traffic control and road development in a cost-efficient manner. In order to perform an intersection simulation, random vehicle trip data are typically applied to an intersection network, making them unrealistic. In this paper, we address this issue by presenting two different methods of incorporating actual turning movement count (TMC) data and comparing their similarity for intersection simulation and analysis. The TMC of three intersections in Las Vegas are estimated separately for one hour usin

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20

Lim, Sung Han. "Analysis on an Effect from the Build-up of Incident Management System." Advanced Materials Research 271-273 (July 2011): 651–56. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.651.

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If an incident occurs on the road, the normal flow of traffic stream is interrupted and the road capacity reduces. This thus leads to huge social, economical losses, such as traffic congestion, air pollution, etc. This study was conducted to examine an effect on an incident management system by carrying out an simulation analysis and an social cost analysis. For the simulation analysis, incidents in a normal situation were compared with those in an incidental situation and thus travel time, queue length, and accident duration were selected as an evaluation indicator. It was analyzed that after

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21

Mittal, Archak, Hani S. Mahmassani, and Alireza Talebpour. "Network Flow Relations and Travel Time Reliability in a Connected Environment." Transportation Research Record: Journal of the Transportation Research Board 2622, no. 1 (2017): 24–37. http://dx.doi.org/10.3141/2622-03.

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Connected vehicle technology provides the opportunity to create a connected network of vehicles and infrastructure. In such a network, individual vehicles can communicate with each other and with the infrastructure, including a traffic management center. The effects of connectivity on reducing congestion and improving throughput and reliability have been extensively investigated at the segment (facility) level. To complement the segment-level studies and to assess the large-scale effects of connectivity, this paper presents a networkwide evaluation of the effect of connectivity on travel time

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22

Wang, Chen, and Chengcheng Xu. "On the Effects of Various Measures of Performance Selections on Simulation Model Calibration Performance." Journal of Advanced Transportation 2018 (December 20, 2018): 1–16. http://dx.doi.org/10.1155/2018/3839814.

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Objective. This paper examines the effects of various measures of performance (MOP) selections on simulation model calibration performance, in terms of reflecting actual traffic conditions and vehicle interactions. Method. Two intersections in Shanghai were selected for simulation model calibration, one for testing and another for validation. Three effective MOPs were utilized, including average travel time (i.e., time passing the intersection), average queue length, and vehicle headway distribution. The counts of three types of traffic conflicts (i.e., crossing, rear-end, and lane change) wer

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23

Liu, Qingwu, and Hongwen He. "The velocity regulation of power consumption with traffic lights for electric vehicles." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 9 (2019): 2312–22. http://dx.doi.org/10.1177/0954407019856220.

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Traffic conditions, especially at traffic crossings, have a great impact on the power consumption of vehicles. Regulating velocity using the information between vehicles and traffic systems can decrease the power consumption. This article mainly focuses on an electric vehicle equipped with radar sensors, which can get the traffic information from upto a 100-m-long distance between the controlled vehicle and the traffic lights. Using the information gathered from sensors, the top-level control unit regulates the velocity aiming at lower power consumption. When traveling through crossings, two d

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24

Zhu, Ziyue, Yuling Ye, and Yiyang Peng. "Simulation-based quantitative methods for vehicle emissions and a CO2 charging policy." HKIE Transactions 30, no. 2 (2023): 12–21. http://dx.doi.org/10.33430/v30n2thie-2022-0062.

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With the worsening vehicle emissions, carbon emission charges are becoming an increasingly popular policy to reduce emissions. This paper proposes a policy to charge for the additional CO2 emissions due to the increasing traffic flow for each vehicle, thereby extending traditional travel time-based traffic assignment to emissions-charged traffic assignment. Considering that vehicle movements in the network are affected by signal timings and the car-following together with lanechanging interactions of different types of vehicles, microscopic traffic flow simulation is combined with a CO2 emissi

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25

Mehrara Molan, Amirarsalan, and Joseph E. Hummer. "Simulation Modeling of Pedestrian Performance in the New Synchronized and Milwaukee B Interchanges versus Existing Designs." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 35 (2018): 151–60. http://dx.doi.org/10.1177/0361198118781652.

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Most U.S. highway agencies recognize the importance of designing safe, short, and comfortable paths for pedestrians. Providing such an acceptable condition for pedestrians requires specific attention at intersections and service interchanges due to their interaction with other modes of transportation. The main objective of this research was to analyze pedestrian operation at two new service interchanges—the synchronized and Milwaukee B interchanges—in comparison with four existing designs. The analysis consists of three main parts: (1) a general comparison among the designs for pedestrian perf

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26

Bhattacharyya, Kinjal, Bhargab Maitra, and Manfred Boltze. "Calibration of Micro-Simulation Model Parameters for Heterogeneous Traffic using Mode-Specific Performance Measure." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 1 (2020): 135–47. http://dx.doi.org/10.1177/0361198119900130.

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Calibration is an essential prerequisite to scenario evaluations using traffic micro-simulation models (TMMs). In the context of mixed-traffic operations, where different fast and slow moving vehicular modes form a heterogeneous environment, a well-calibrated model needs to give adequate importance to each mode to realistically replicate the complex interactions in the traffic stream. This paper presents a methodology for calibrating TMMs for such mixed-traffic conditions. A combination of vehicle mode-specific travel time distributions is adopted as the performance measure for the calibration

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27

Zhang, Jian, Yang Cheng, Shanglu He, and Bin Ran. "Improving method of real-time offset tuning for arterial signal coordination using probe trajectory data." Advances in Mechanical Engineering 9, no. 1 (2017): 168781401668335. http://dx.doi.org/10.1177/1687814016683355.

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In the environment of intelligent transportation systems, traffic condition data would have higher resolution in time and space, which is especially valuable for managing the interrupted traffic at signalized intersections. There exist a lot of algorithms for offset tuning, but few of them take the advantage of modern traffic detection methods such as probe vehicle data. This study proposes a method using probe trajectory data to optimize and adjust offsets in real time. The critical point, representing the changing vehicle dynamics, is first defined as the basis of this approach. Using the cr

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28

Di, Shan, Changxuan Pan, and Bin Ran. "Stochastic Multiclass Traffic Assignment with Consideration of Risk-Taking Behaviors." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 111–23. http://dx.doi.org/10.3141/2085-13.

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A study of the problem of predicting traffic flows under traffic equilibrium in a stochastic transportation network is presented. Travelers’ risk-taking behaviors are explicitly modeled with respect to probabilistic travel times. Traveling risks are quantified from the travel time distributions directly and are embedded in the route choice conditions. The classification of risk-neutral, risk-averse, and risk-prone travelers is based on their preferred traveling risks. The formulation of the model clarifies that travelers with different risk preferences have the same objective–to save travel ti

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29

Zhao, Jiandong, Yujie Guo, and Xiaohong Duan. "Dynamic Path Planning of Emergency Vehicles Based on Travel Time Prediction." Journal of Advanced Transportation 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/9184891.

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The dynamic paths planning problem of emergency vehicles is usually constrained by the factors including time efficiency, resources requirement, and reliability of the road network. Therefore, a two-stage model of dynamic paths planning of emergency vehicles is built with the goal of the shortest travel time and the minimum degree of traffic congestion. Firstly, according to the dynamic characteristics of road network traffic, a polyline-shaped speed function is constructed. And then, based on the real-time and historical data of travel speed, a new kernel clustering algorithm based on shuffle

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30

Marchal, Fabrice, and André de Palma. "Measurement of Uncertainty Costs with Dynamic Traffic Simulations." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 67–75. http://dx.doi.org/10.3141/2085-08.

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Nonrecurrent congestion in transportation networks occurs as a consequence of stochastic factors affecting demand and supply. Intelligent transportation systems such as advanced traveler information systems and advanced traffic management systems are designed to reduce the impacts of nonrecurrent congestion by providing information to a fraction of users or by controlling the variability of traffic flows. For these reasons, the design of these systems requires a reliable forecast of nonrecurrent congestion. A new method is proposed to measure the impacts of nonrecurrent congestion on travel co

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31

Juri, Natalia Ruiz, Avinash Unnikrishnan, and S. Travis Waller. "Integrated Traffic Simulation–Statistical Analysis Framework for Online Prediction of Freeway Travel Time." Transportation Research Record: Journal of the Transportation Research Board 2039, no. 1 (2007): 24–31. http://dx.doi.org/10.3141/2039-03.

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32

Fimbombaya, Haji Said, Nerey H. Mvungi, Ndyetabura Y. Hamisi, and Hashimu U. Iddi. "Performance Evaluation of Magnetic Wireless Sensor Networks Algorithm for Traffic Flow Monitoring in Chaotic Cities." Modelling and Simulation in Engineering 2018 (October 16, 2018): 1–11. http://dx.doi.org/10.1155/2018/2591304.

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Traffic flow monitoring involves the capturing and dissemination of real-time traffic flow information for a road network. When a vehicle, a ferromagnetic object, travels along a road, it disturbs the ambient Earth’s magnetic field, causing its distortion. The resulting distortion carries vehicle signature containing traffic flow related information such as speed, count, direction, and classification. To extract such information in chaotic cities, a novel algorithm based on the resulting magnetic field distortion was developed using nonintrusive sensor localization. The algorithm extracts traf

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33

Sun, Lu, Wenjun Gu, and Hani Mahmassani. "Estimation of expected travel time using the method of moment." Canadian Journal of Civil Engineering 38, no. 2 (2011): 154–65. http://dx.doi.org/10.1139/l10-115.

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Daily travel time is cast into a framework of nonstationary stochastic process. For a fixed value of departure time in a day, travel time given origin, destination, and route information, is treated as a random variable. For a specific date, travel time is treated as a deterministic function of departure time t. Under this framework, the expected travel time for a given departure time is defined as an ensemble mean travel time (EMTT) over a number of days. The method of moment is proposed to compute EMTT based on a hypothetical piecewise constant speed trajectory for travel time estimation. Th

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34

Hellinga, Bruce, and Michel Van Aerde. "An overview of a simulation study of the Highway 401 freeway traffic management system." Canadian Journal of Civil Engineering 21, no. 3 (1994): 439–54. http://dx.doi.org/10.1139/l94-048.

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Анотація:

This paper discusses the application of the network traffic simulation model INTEGRATION to a 35-km section of Highway 401 in Toronto, Canada. Results for the eastbound direction from 4 a.m. to 12 noon are presented. Existing freeway conditions are quantified using data from the COMPASS freeway traffic management system and from a floating car travel time survey. Variations that exist in observed link flows and trip travel durations over time of day and day of week are examined. The extent to which COMPASS data meets the data requirements of the INTEGRATION model is examined. Since the current

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Deng, Wen, Li Min Jia, and Hong Hui Dong. "Multi-Objective Optimization Model for Urban Traffic Intersection Control Based on Data Fusion." Advanced Materials Research 156-157 (October 2010): 505–10. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.505.

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Анотація:

A new multi-objective optimization control strategy for urban intersection is proposed, which takes the degree of smooth and the degree of equilibrium as objectives. The new method is not limited to the traditional basic traffic parameters, such as delay and queue length.etc, but Applying data fusion technology, by multiple integrating on the basic traffic parameters, the real-time multi-objective values are achieved. The degree of the smooth quantitatively denotes the forced travel time extension because of traffic signal control, saturated traffic flow.ect. The degree of equilibrium denotes

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Chen, Rongsheng, and Michael W. Levin. "Dynamic User Equilibrium of Mobility-on-Demand System with Linear Programming Rebalancing Strategy." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 1 (2019): 447–59. http://dx.doi.org/10.1177/0361198118821629.

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Mobility-on-demand (MoD) services are provided by multiple competing companies. In their competition for travelers, they need to provide minimum travel costs, or travelers will switch to competitors. This study developed a dynamic traffic assignment of MoD systems. A static traffic assignment (STA) model is first defined. When demand is asymmetric, empty rebalancing trips are required to move vehicles to traveler origins, and the optimal rebalancing flows are found by a linear program. Because of the time-dependent nature of traveler demand, the model was converted to dynamic traffic assignmen

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Zhou, Weiyi, Mofeng Yang, Minha Lee, and Lei Zhang. "Q-Learning-Based Coordinated Variable Speed Limit and Hard Shoulder Running Control Strategy to Reduce Travel Time at Freeway Corridor." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 11 (2020): 915–25. http://dx.doi.org/10.1177/0361198120949875.

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To increase traffic mobility and safety, several types of active traffic management (ATM) strategies, such as variable speed limit (VSL), ramp metering, dynamic message signs, and hard shoulder running (HSR), are adopted in many countries. While all kinds of ATM strategies show promise in releasing traffic congestion, many studies indicate that stand-alone strategies have very limited capability. To remedy the defects of stand-alone strategies, cooperative ATM strategies have caught researchers’ attention and different combinations have been studied. In this paper, a coordinated VSL and HSR co

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LIN, Peiqun, Chuhao ZHOU, and Yang CHENG. "A Systematic Cooperation Method for In-Car Navigation Based on Future Time Windows." Promet - Traffic&Transportation 34, no. 3 (2022): 381–96. http://dx.doi.org/10.7307/ptt.v34i3.3946.

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Анотація:

Traffic congestion has become a severe problem, af-fecting travellers both mentally and economically. To al-leviate traffic congestion, this paper proposes a method using a concept of future time windows to estimate the future state of the road network for navigation. Through our method, we can estimate the travel time not only based on the current traffic state, but the state that ve-hicles will arrive in the future. To test our method, we conduct experiments based on Simulation of Urban MO-bility (SUMO). The experimental results show that the proposed method can significantly reduce the over

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Toledo, Tomer, Omar Mansour, and Jack Haddad. "Optimal Dynamic Tolls for Managed Lanes." Transportation Research Record: Journal of the Transportation Research Board 2606, no. 1 (2017): 28–37. http://dx.doi.org/10.3141/2606-04.

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Анотація:

This paper presents a real-time simulation-based control framework to determine dynamic toll rates to optimize an operator's objective subject to various operational and contractual constraints, such as smooth toll rate changes and maintenance of prescribed levels of service on the toll lane. The toll-setting system incorporates models to predict both the vehicle arrival process upstream of the toll lane facility and drivers’ choice whether to use the toll lanes as a function of the toll rate and travel times presented to drivers within the information system. A macroscopic traffic simulation

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Dwivedi, Avinash, Ramoo Ram, and Ravi Kant Pareek. "Microscopic Simulation-Based Model analysis at Jaipur." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 470–79. http://dx.doi.org/10.22214/ijraset.2022.41290.

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Abstract: Socio-Economic development of a country includes sustainable transportation system. As simulation is safer, less expensive and faster than field implementation and testing, Microscopic simulation models have been widely used in transportation operations and management analysis. The accuracy and reliability decide the usefulness of these models in making design and traffic control. Nowin India, VISSIM which is microscopic traffic simulation software is used. However, modifications to the default behavioral parameters are essential to effectively simulate Indian heterogeneous traffic c

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Rahimi, Amir Masoud, Maxim A. Dulebenets, and Arash Mazaheri. "Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran." Infrastructures 6, no. 3 (2021): 46. http://dx.doi.org/10.3390/infrastructures6030046.

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Анотація:

Industrialization, urban development, and population growth in the last decades caused a significant increase in congestion of transportation networks across the world. Increasing congestion of transportation networks and limitations of the traditional methods in analyzing and evaluating the congestion mitigation strategies led many transportation professionals to the use of traffic simulation techniques. Nowadays, traffic simulation is heavily used in a variety of applications, including the design of transportation facilities, traffic flow management, and intelligent transportation systems.

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Zein, Fikri Haikal, Haris Muhammadun, and Risma Marleno. "ROAD NETWORK SIMULATION MODEL ANALYSIS OF PAHLAWAN ROAD AREA WITH TRAFFIC MANAGEMENT AND ENGINEERING EFFORTS." INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY ENGINEERING AND INFORMATION SYSTEM (IJATEIS) 3, no. 4 (2024): 408–21. https://doi.org/10.55047/ijateis.v3i4.1273.

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During peak hour conditions, the traffic orderly area (KTL) in the existing Pahlawan Road area has not provided maximum results regarding performance and traffic order. The solution to the transportation problems that occur is to assess the performance of related sections and intersections and analyze the selection of traffic handling schemes to produce the most effective and efficient handling output. The purpose of this study is to determine the most optimal traffic engineering management recommendations for Pahlawan Road, Sidoarjo Regency. In data processing, researchers analyzed survey dat

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M, Arjun K., Nandha Krishna P. T, Aleena Jesrin K, Akhil P, and Malavika I. P. "Economic Evaluation of Traffic Congestion & Design of Traffic Signal with Simulation at Ottapalam." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 1259–73. http://dx.doi.org/10.22214/ijraset.2023.53881.

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Abstract: Traffic congestion is the most outstanding performance of the negative externalities of urban road traffic, which is characterized by the negative effects of time delay, energy waste, air pollution and many other impacts. It affects people’s daily life and could cause stress other than time and monetary loss. Traffic congestion causes negative impacts to transport sector and cause a massive increase in the transportation cost. Time is a precious commodity that we all have an equal amount of, and it is something that should not be wasted. A lot of our time is being wasted due to traff

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Wang, Xu, Tony Z. Qiu, Lei Niu, Ruhua Zhang, and Lu Wang. "A micro-simulation study on proactive coordinated ramp metering for relieving freeway congestion." Canadian Journal of Civil Engineering 43, no. 7 (2016): 599–608. http://dx.doi.org/10.1139/cjce-2016-0050.

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To relieve freeway congestion during peak periods, ramp metering (RM) is often implemented to control the input flow from onramps on freeways. Many studies focus on proactive coordinated RM controls; however, successful implementation of proactive RM control still requires a more accurate prediction model and a less complex control algorithm. To this end, this study tests a proactive RM approach in micro-simulation, with goals to improve network-wide travel time and traffic flow. A METANET-based dynamic traffic model was adopted as a prediction model within a predictive control framework. The

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Song, Haokun, Fuquan Zhao, Guangyu Zhu, and Zongwei Liu. "Impacts of Connected and Autonomous Vehicles with Level 2 Automation on Traffic Efficiency and Energy Consumption." Journal of Advanced Transportation 2023 (April 18, 2023): 1–15. http://dx.doi.org/10.1155/2023/6348778.

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Анотація:

Evaluating the economic benefits of traffic optimization from connected and autonomous vehicles (CAVs) and relevant traffic organization methods is significant, which will help to put forward suggestions for policymakers to promote the application of CAVs. The impacts and related benefits from CAVs with level 2 automation (L2 CAVs) on traffic efficiency and energy consumption of expressways are analyzed in this paper. Average travel time and actual road capacity are on behalf of traffic efficiency while average electric energy consumption is used to compute traffic energy consumption. The corr

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Smith, Tony E., Chao-Che Hsu, and Yueh-Ling Hsu. "Stochastic User Equilibrium Model with Implicit Travel Time Budget Constraint." Transportation Research Record: Journal of the Transportation Research Board 2085, no. 1 (2008): 95–103. http://dx.doi.org/10.3141/2085-11.

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Анотація:

Although time constraints on travel behavior have been widely recognized, little effort has been made to incorporate such constraints into the traditional stochastic user equilibrium (SUE) framework. The major objective of this research is to fill this gap by incorporating travel time constraints into the SUE model by means of a nonlinear perceived travel time function. This modified model, designated the travel time budget model, focuses primarily on discretionary travel behavior (such as shopping trips) and hence also allows the possibility of deferring travel decisions by incorporating an a

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47

Li, Qing Yin, Rui Tang, and Zhang Lu Tan. "Based on Transcad of the Shortest Path Assignment Method." Advanced Materials Research 219-220 (March 2011): 1105–8. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1105.

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Анотація:

Based on the Transcad all-or-nothing assignment model is a kind of static method; do not consider the travel time will be affected by traffic flow. The insufficient is that it does not conform to reality. In order to solve the all-or-nothing assignment model that to putting all of traffic flow on the shortest path, the text through the defining of the effective path and the traffic flow of the effective path to improve all-or-nothing assignment model. So the other road traffic flow can also assign and the results can reflect the assignment of urban traffic directly. It can be used to study the

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Frechette, Luc A., and Ata M. Khan. "Bayesian Regression-Based Urban Traffic Models." Transportation Research Record: Journal of the Transportation Research Board 1644, no. 1 (1998): 157–65. http://dx.doi.org/10.3141/1644-17.

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A Bayesian regression approach is used to develop equations for predicting travel time on central area streets with contributory variables that are intuitive and for which data are readily available in most transportation agencies. In development of multivariate regression models, two disparate sources of information are used: ( a) a priori (what is known before an experiment), and ( b) experimental data (information derived from an experiment). Output of traffic simulation obtained from NETSIM was used as the source of a priori information, whereas the experimental data were obtained from vid

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Ru, Han, Jian Luan, Qingtao Ding, and Jinliang Xu. "Influence of traffic flow of on-ramps on the mainline speed on freeways." Archives of Transport 69, no. 1 (2024): 59–73. http://dx.doi.org/10.61089/aot2024.b2h1zb09.

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Vehicles entering from on-ramps can increase the speed dispersion of the mainline and induce frequent changing lanes or acceleration and deceleration behaviors. These complex traffic behaviors interfere with traffic on the mainline and thus result in congestion and safety issues. Reasonable management and control of ramps, especially on-ramps, has been proven to be an effective solution for traffic congestion caused by ramp traffic flow. Understanding the influence of traffic flow of on-ramps on the average speed of the freeway mainline is useful for creating effective ramp management strategi

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Rakha, Hesham A., and Michel W. Van Aerde. "Comparison of Simulation Modules of TRANSYT and INTEGRATION Models." Transportation Research Record: Journal of the Transportation Research Board 1566, no. 1 (1996): 1–7. http://dx.doi.org/10.1177/0361198196156600101.

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The TRANSYT simulation/optimization model serves as an unofficial international standard against which many measure the efficiency of other methods of coordinating networks of traffic signals that operate at a constant and common cycle length. However, dynamics due to traffic rerouting, the simultaneous operation of adjacent traffic signals at different cycle lengths, the effect of queue spillbacks on the capacity of upstream links, and various forms of real-time intersection control cannot be modeled using a static model such as TRANSYT. This has created a unique niche for a more dynamic sign

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