scholarly journals Identify Optimal Traffic Condition and Speed Limit for Hard Shoulder Running Strategy

2021 ◽  
Vol 13 (4) ◽  
pp. 1822
Author(s):  
Fan Yang ◽  
Fan Wang ◽  
Fan Ding ◽  
Huachun Tan ◽  
Bin Ran
Keyword(s):  
Cellular Automata ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Clustering Algorithm ◽  
Mean Shift ◽  
Management Strategies ◽  
Speed Limit ◽  
Clustering Methods ◽  
Traffic Condition ◽  
Cellular Automata Model

Highway system is experiencing increasing traffic congestion with fast-growing number of vehicles in metropolitan areas. Implementing traffic management strategies such as utilizing the hard shoulder as an extra lane could increase highway capacity without extra construction work. This paper presents a method of determining an optimal traffic condition and speed limit of opening hard shoulder. Firstly, the traffic states are clustered using K-Means, mean shift, agglomerative and spectral clustering methods, and the optimal clustering algorithm is selected using indexes including the silhouette score, Davies-Bouldin Index and Caliski-Harabaz Score. The results suggested that the clustering effect of using K-Means method with three categories is optimal. Then, cellular automata model is used to simulate traffic conditions before and after the hard shoulder running strategy is applied. The parameters of the model, including the probabilities of random deceleration, slow start and lane change, are calibrated using real traffic data. Four indicators including the traffic volume, the average speed, the variance of speed, and the travel time of emergency rescue vehicles during traffic accident obtained using the cellular automata model are used to evaluate various hard shoulder running strategies. By using factor analysis and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods, the optimal traffic condition and speed limit of opening hard shoulder could be determined. This method could be applied to highway segments of various number of lanes and different speed limits to optimize the hard shoulder running strategy for highway management.

Development of Decision Support System for Integrated Active Traffic Management Systems Considering Travel Time Reliability

2020 ◽  
Vol 2674 (2) ◽  
pp. 167-180 ◽  
Author(s):  
Whoibin Chung ◽  
Mohamed Abdel-Aty ◽  
Ho-Chul Park ◽  
Qing Cai ◽  
Mdhasibur Rahman ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Travel Time ◽  
Support System ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Management Strategies ◽  
Travel Time Reliability ◽  
Traffic Condition ◽  
Traffic Conditions

A new decision support system (DSS) using travel time reliability was developed for integrated active traffic management (IATM) including freeways and arterials. The DSS consists of recommendation and evaluation of response plans. The DSS also includes three representative traffic management strategies: variable speed limits, queue warning, and ramp metering. The recommendation of response plans for recurring traffic congestion was generated from the logics of the three strategies. The evaluation of response plans was conducted by travel time reliability through the prediction of traffic conditions with response plans. The near-future prediction of traffic conditions with control strategies was conducted through METANET for freeways and arterials. The developed DSS was evaluated under three types of traffic congestion: extreme, heavy, and moderate. According to the evaluation results, the developed DSS recommended an IATM strategy with the highest synergistic relationships in real time and contributed to enhancing the effectiveness of the IATM strategies. It was confirmed that arterials should have the allowable residual capacity for the improvement of traffic flow of the entire corridor network. Furthermore, the DSS demonstrated a more balanced traffic condition between freeways and arterials.

scholarly journals A framework for IoT-enabled environment aware traffic management

2021 ◽  
Vol 11 (1) ◽  
pp. 518
Author(s):  
Mohamed Fazil Mohamed Firdhous ◽  
B. H. Sudantha ◽  
Naseer Ali Hussien
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Traffic Management ◽  
Fine Particles ◽  
Environment Pollution ◽  
Negative Effects ◽  
Traffic Condition ◽  
Pollution Levels ◽  
Transport Services ◽  
The Cost

Vehicular traffic has increased across all over the world especially in urban areas due to many reasons including the reduction in the cost of vehicles, degradation of the quality of public transport services and increased wealth of people. The traffic congestion created by these vehicles causes many problems. Increased environment pollution is one of the most serious negative effects of traffic congestion. Noxious gases and fine particles emitted by vehicles affect people in different ways depending on their age and present health conditions. Professionals and policy makers have devised schemes for better managing traffic in congested areas. These schemes suffer from many shortcomings including the inability to adapt to dynamic changes of traffic patterns. With the development of technology, new applications like Google maps help drivers to select less congested routes. But, the identification of the best route takes only the present traffic condition on different road segments presently. In this paper the authors propose a system that helps drivers select routes based on the present and expected environment pollution levels at critical points in a given area.

scholarly journals Community detection in large scale congested urban road networks

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260201
Author(s):  
Seyed Arman Haghbayan ◽  
Nikolas Geroliminis ◽  
Meisam Akbarzadeh
Keyword(s):  
San Francisco ◽  
Community Detection ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Large Scale ◽  
Cost Effective ◽  
Computational Time ◽  
Management Tools ◽  
Traffic Condition ◽  
Urban Networks

Traffic congestion in large urban networks may take different shapes and propagates non-uniformly variations from day to day. Given the fact that congestion on a road segment is spatially correlated to adjacent roads and propagates spatiotemporally with finite speed, it is essential to describe the main pockets of congestion in a city with a small number of clusters. For example, the perimeter control with macroscopic fundamental diagrams is one of the effective traffic management tools. Perimeter control adjusts the inflow to pre-specified regions of a city through signal timing on the border of a region in order to optimize the traffic condition within the region. The precision of macroscopic fundamental diagrams depends on the homogeneity of traffic condition on road segments of the region. Hence, previous studies have defined the boundaries of the region under perimeter control subjected to the regional homogeneity. In this study, a cost-effective method is proposed for the mentioned problem that simultaneously considers homogeneity, contiguity and compactness of clusters and has a shorter computational time. Since it is necessary to control the cost and complexity of perimeter control in terms of the number of traffic signals, sparse parts of the network could be potential candidates for boundaries. Therefore, a community detection method (Infomap) is initially adopted and then those clusters are improved by refining the communities in relation to roads with the highest heterogeneity. The proposed method is applied to Shenzhen, China and San Francisco, USA and the outcomes are compared to previous studies. The results of comparison reveal that the proposed method is as effective as the best previous methods in detecting homogenous communities, but it outperforms them in contiguity. It is worth noting that this is the first method that guarantees the connectedness of clusters, which is a prerequisite of perimeter control.

The Application of Cellular Automata in Traffic Flow Management and the Present Situation

2014 ◽  
Vol 513-517 ◽  
pp. 2702-2705
Author(s):  
Hong Xue Xu ◽  
Dong Mei Zhang
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Traffic Management ◽  
Research Direction ◽  
Development Trend ◽  
Research Process ◽  
Traffic Network ◽  
Flow Management ◽  
Cellular Automata Model ◽  
Traffic Flow Management

Review the research process and results of cellular automaton used for traffic flow, and against the theory based on cellular automata model established lane, two-lane model, multi-lane traffic network model and discuss the model. Then introduced the research status and development trends of various models. Finally, prospect the future of the cellular automata used to traffic flow managements development trend and research direction, and provide a reference for building traffic management mode suit to the characteristics of the transportation.

scholarly journals Pengaruh Kebijakan ““4 in 1”” terhadap Kinerja Persimpangan Jl Dr. Djunjunan – Tol Pasteur dengan Menggunakan Simulasi Mikro

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Andrean Maulana
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management Strategies ◽  
Maximum Length ◽  
City Government ◽  
Signalized Intersection ◽  
Passenger Cars ◽  
Mean Delay ◽  
Before And After ◽  
Traffic Signal Timing

ABSTRAKKebijakan “4 in 1” diterapkan sebagai salah satu solusi untuk permasalahan kemacetan di kota Bandung. Adapun tujuan dari penerapan kebijakan “4 in 1” adalah meningkatkan kinerja persimpangan Tol Pasteur – Jl. Dr Djunjunan atau Simpang Pasteur. Untuk analisis kinerja Simpang Pasteur, digunakan model simulasi mikro dengan perangkat Paramics. Analisis dilakukan terhadap dua kondisi yaitu kondisi dengan kebijakan “4 in 1” dan kondisi tanpa kebijakan “4 in 1”. Terjadi pengurangan panjang antrian maksimum sebesar 148,79 meter dan tundaan rata-rata simpang sebesar 7,6 detik. Lalu, dilakukan pengubahan waktu sinyal untuk meningkatkan kinerja simpang Pasteur . Waktu siklus yang didapat sebesar 52 detik, dengan rincian waktu hijau fase satu dan dua sebesar 15 detik dan fase tiga sebesar 14 detik. Dengan waktu siklus terbaik ini dapat menghasilkan pengurangan panjang antrian maksimum sebesar 239 meter dan tundaan rata-rata simpang sebesar 46 detik.Kata kunci: simulasi, mikro, antrian, tundaan, sinyal  ABSTRACTBandung city government recently applied “4 in 1” strategy as one of city's traffic management strategies to resolve traffic congestion that occurs at many city's main streets. By applying that rule, hopefully it will reduces, even eliminates traffic congestion that usually occurs at Dr. Djunjunan street during peak hours. Since the program prohibits any passenger cars that carry less than 4 passengers to cross Dr. Djunjunan street, it will affects every street at Pasteur signalized intersection and the intersection itself. Therefore, this study was conducted to analyze Pasteur signalized intersection's performance before and after the application of “4 in 1” strategy. The analysis was conducted using micro-simulation model that generated from Paramics software.The analysis was conducted in two condition, with or without “4 in 1” strategy. Results from analysis indicates that there will be 148,79 meter difference of maximum length of queue and 7,6 seconds difference of mean delay time between those two condition at Pasteur signalized intersection. The analysis also conducted by changing traffic signal timing in order to obtain better performance of Pasteur signalized intersection. Results from analysis indicates that there will be 239 meter reduction of maximum length of queue and 46 second of mean delay time.Keywords: simulation, micro, queue, delay, signal.

scholarly journals Vehicle Remote Support and Surveillance System

2014 ◽  
Vol 10 (2) ◽  
pp. 55-63
Author(s):  
Ahmed Abid ◽  
Ramzy Ali ◽  
Rafah Saheb
Keyword(s):  
Traffic Congestion ◽  
Surveillance System ◽  
Complete Solution ◽  
The Other ◽  
Fault Prediction ◽  
Speed Limit ◽  
Traffic Condition ◽  
Vehicle Type ◽  
And Control ◽  
Co Emission

The proposed design offers a complete solution to support and surveillance vehicles remotely. The offered algorithm allows a monitoring center to track vehicles; diagnoses fault remotely, control the traffic and control CO emission. The system is programmed to scan the on-board diagnostic OBD periodically or based on request to check if there are any faults and read all the available sensors, then make an early fault prediction based on the sensor readings, an experience with the vehicle type and fault history. It is so useful for people who are not familiar with fault diagnosis as well as the maintenance center. The system offers tracking the vehicle remotely, which protects it against theft and warn the driver if it exceeds the speed limit according to its location. Finally, it allows the user to report any traffic congestion and allows a vehicle navigator to be up to date with the traffic condition based on the other system’s user feedback.

scholarly journals Implementation of Different Traffic Management Strategies on Major Roads for the Improvement of Traffic Flow in Lahore City

2020 ◽  
Vol 4 (4) ◽  
pp. 1-14
Author(s):  
Nazam Ali ◽  
Hashir Zia ◽  
Hamza Bin Sarwar ◽  
Zafar Baig ◽  
Muhammad Abdullah
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management Strategies ◽  
Design Guidelines ◽  
Design Strategies ◽  
Future Design ◽  
Design Practices ◽  
Traffic Delays ◽  
The City ◽  
Lahore City

Traffic congestion causes many socio-economic problems in developing nations. One of the main causes of traffic congestion can be attributed to poor design practices. In the last few years, Lahore city has expanded haphazardly where the allocation of resources was done based on political will instead of feasible design practices. This haphazard growth coupled with a poor design resulted in traffic congestion on the main roads of the city. In this study, simulations using different traffic management design strategies were carried out on major roads to check if traffic delays and Level of Service (LOS) can be improved. The most feasible designs based on the simulated results were proposed for the improvement of the existing infrastructure designs. These findings suggested that Akbar Chowk and Jinnah Hospital Intersection have greatly reduced the traffic delay time by 92.97% and 92.67%, respectively. Policymakers can utilize these simulated results for future design guidelines to accommodate the future growth of traffic on these arterial roads.

scholarly journals A Cross-Sector Framework to Boost the Sustainable Implementation of Integrated Transport and Spatial Strategies to Improve Safety and Mobility of Moto-Taxi Riders

2021 ◽  
Vol 3 ◽  
Author(s):  
Murungi Elizabeth Mwebesa ◽  
Chun-Chen Chou ◽  
Kento Yoh ◽  
Kenji Doi
Keyword(s):  
Traffic Congestion ◽  
Questionnaire Survey ◽  
Road Safety ◽  
Traffic Management ◽  
Management Strategies ◽  
Noise Pollution ◽  
Road User ◽  
African Cities ◽  
Spatial Strategies ◽  
New City

Globally, motorcycle riders make up the biggest percentage of vulnerable road user fatalities. The percentages are higher in African cities where moto-taxi transport is not only the most readily available mode of transport but also a source of income for many especially the youth. Many African cities are re-strategizing on how to sustainably deal with problems like traffic congestion, unplanned development, flooding, air and noise pollution. The authors carried out a questionnaire survey targeting a variety of road safety stakeholders to identify road safety solutions that they think best fit the current situation. Another questionnaire survey targeting moto-taxi riders was carried out, and the data analyzed by SEM to identify how different solutions interact to affect the behavior of riders. Results show that education and training programs have the biggest effect on improving behavior of riders as they adapt to new city regulations such as zoning. Other aspects such as presence of customers, behavior of other road users, road environment were also explored. Currently, city authorities in some developing nations are looking to introduce spatial regulations such as zoning and traffic management strategies such as exclusive lanes. Therefore, the contribution of this study is a proposal of a combination of solutions that different road safety stakeholders in developing countries can contribute toward the sustainable improvement of the safety of riders.

Variable speed limit strategies analysis with link transmission model on urban expressway

2018 ◽  
Vol 32 (06) ◽  
pp. 1850077 ◽  
Author(s):  
Shubin Li ◽  
Danni Cao
Keyword(s):  
Traffic Safety ◽  
Traffic Congestion ◽  
Management Strategies ◽  
Simulation Method ◽  
Average Density ◽  
Transmission Model ◽  
Speed Limit ◽  
Variable Speed ◽  
Variable Speed Limit ◽  
Urban Expressway

The variable speed limit (VSL) is a kind of active traffic management method. Most of the strategies are used in the expressway traffic flow control in order to ensure traffic safety. However, the urban expressway system is the main artery, carrying most traffic pressure. It has similar traffic characteristics with the expressways between cities. In this paper, the improved link transmission model (LTM) combined with VSL strategies is proposed, based on the urban expressway network. The model can simulate the movement of the vehicles and the shock wave, and well balance the relationship between the amount of calculation and accuracy. Furthermore, the optimal VSL strategy can be proposed based on the simulation method. It can provide management strategies for managers. Finally, a simple example is given to illustrate the model and method. The selected indexes are the average density, the average speed and the average flow on the traffic network in the simulation. The simulation results show that the proposed model and method are feasible. The VSL strategy can effectively alleviate traffic congestion in some cases, and greatly promote the efficiency of the transportation system.

scholarly journals Authors: Yunhui Zeng ; Wenjuan Hu ; Hongfei Guo ; Shiyue Shen ; Li Huang ; Yiying Lou

2019 ◽  
pp. 57-66
Author(s):  
Yunhui Zeng ◽  
Wenjuan Hu ◽  
Hongfei Guo ◽  
Shiyue Shen ◽  
Li Huang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Spline Interpolation ◽  
Road Construction ◽  
Traffic Condition ◽  
The Road ◽  
Traffic Capacity ◽  
Significant Difference ◽  
The Difference

Focused on the lane occupancy phenomenon, this paper analyzes the roads during two different accidents to the evacuation period. Firstly, according to the statistical data, this paper calculated the correction coefficients under the road traffic condition, and then obtained the actual traffic capacity result at each moment of the road when combining the function model of the actual traffic capacity corrected by the running speed and the road traffic condition. Next the actual traffic capacity results are fitted to the Smooth spline interpolation, and then the actual traffic capacity is further verified by the traffic congestion situation. The actual traffic capacity of the road during the accident to evacuation is summarized as follows: the actual traffic capacity shows a nonlinear trend, that is, ascending-attenuating-recovering and gradually stabilizing. Finally, using Mann-Whitney U test to carry out the difference test on the actual traffic capacity, it is found that there is significant difference between the two groups of data, and the actual traffic capacity of the second case is stronger than that of the first one, and the reasons for the difference are analyzed as follows: the ratio of the steering traffic volume at the downstream intersection is different; this road section includes the community intersection and there are vehicles entering and leaving; meanwhile the speed of each lane is different and there are buildings near the lane. The above conclusions will provide theoretical basis for the traffic management department to correctly guide the vehicle driving, approve the road construction, design the road channelization plan, set the roadside parking space and the non-port-type bus stations.

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