Virtual Infrastructure at Traffic Lights: Vehicular Temporary Storage Assisted Data Transportation at Signalized Intersections

2018 ◽  
Vol 67 (12) ◽  
pp. 12452-12456 ◽  
Author(s):  
Haichuan Ding ◽  
Yuguang Fang
Keyword(s):  
Signalized Intersections ◽  
Traffic Lights ◽  
Temporary Storage ◽  
Virtual Infrastructure

scholarly journals Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shan Fang ◽  
Lan Yang ◽  
Tianqi Wang ◽  
Shoucai Jing
Keyword(s):  
Fuel Consumption ◽  
Trajectory Planning ◽  
Signalized Intersections ◽  
Planning Method ◽  
Signalized Intersection ◽  
Driver Model ◽  
Connected Vehicles ◽  
Connected Vehicle ◽  
Traffic Lights ◽  
Trigonometric Model

Traffic lights force vehicles to stop frequently at signalized intersections, which leads to excessive fuel consumption, higher emissions, and travel delays. To address these issues, this study develops a trajectory planning method for mixed vehicles at signalized intersections. First, we use the intelligent driver car-following model to analyze the string stability of traffic flow upstream of the intersection. Second, we propose a mixed-vehicle trajectory planning method based on a trigonometric model that considers prefixed traffic signals. The proposed method employs the proportional-integral-derivative (PID) model controller to simulate the trajectory when connected vehicles (equipped with internet access) follow the optimal advisory speed. Essentially, only connected vehicle trajectories need to be controlled because normal vehicles simply follow the connected vehicles according to the Intelligent Driver Model (IDM). The IDM model aims to minimize traffic oscillation and ensure that all vehicles pass the signalized intersection without stopping. The results of a MATLAB simulation indicate that the proposed method can reduce fuel consumption and NOx, HC, CO2, and CO concentrations by 17%, 22.8%, 17.8%, 17%, and 16.9% respectively when the connected vehicle market penetration is 50 percent.

scholarly journals Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study

2019 ◽  
Vol 22 (2) ◽  
pp. 63-68 ◽  
Author(s):  
Yi-Ling He ◽  
Ruo-Tong Li ◽  
Li Li ◽  
David C. Schwebel ◽  
He-Lai Huang ◽  
...  
Keyword(s):  
Signalized Intersections ◽  
Two Stage ◽  
Traffic Lights

scholarly journals New Solutions Based On Wireless Networks For Dynamic Traffic Lights Management: A Comparison Between IEEE 802.15.4 And Bluetooth

2015 ◽  
Vol 16 (3) ◽  
pp. 224-236 ◽  
Author(s):  
Mario Collotta ◽  
Giovanni Pau
Keyword(s):  
Network Architecture ◽  
Intelligent Transportation System ◽  
Ieee 802.15.4 ◽  
Signalized Intersections ◽  
Traffic Flows ◽  
Traffic Light ◽  
Dynamic Management ◽  
Traffic Lights ◽  
Phase Sequence ◽  
Valid Solution

Abstract The Wireless Sensor Networks are widely used to detect and exchange information and in recent years they have been increasingly involved in Intelligent Transportation System applications, especially in dynamic management of signalized intersections. In fact, the real-time knowledge of information concerning traffic light junctions represents a valid solution to congestion problems. In this paper, a wireless network architecture, based on IEEE 802.15.4 or Bluetooth, in order to monitor vehicular traffic flows near to traffic lights, is introduced. Moreover, an innovative algorithm is proposed in order to determine dynamically green times and phase sequence of traffic lights, based on measured values of traffic flows. Several simulations compare IEEE 802.15.4 and Bluetooth protocols in order to identify the more suitable communication protocol for ITS applications. Furthermore, in order to confirm the validity of the proposed algorithm for the dynamic management of traffic lights, some case studies have been considered and several simulations have been performed.

scholarly journals Identification of Risk Factors Associated with Fatal Intersection Crashes and Assessment of the In-Service Safety Performance of Signalized Intersections and Roundabouts in Abu Dhabi

Safety ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 69
Author(s):  
Dina Mustafa Mohammad Awadalla ◽  
Francisco Daniel Benicio de Albuquerque
Keyword(s):  
United Arab Emirates ◽  
Signalized Intersections ◽  
Safety Performance ◽  
Decision Makers ◽  
Abu Dhabi ◽  
Traffic Lights ◽  
Traffic Characteristics ◽  
Road Design ◽  
Gcc Countries ◽  
Transportation Agencies

Several research studies conducted in North America and Europe have consistently shown that converting signalized intersections into roundabouts leads to safety benefits. These studies have led North American and European transportation agencies to convert hundreds of signalized intersections into roundabouts over the last few decades. Meanwhile, the Emirate of Abu Dhabi, the largest emirate in the United Arab Emirates (UAE), has replaced many of its long-standing roundabouts with signalized intersections (i.e., controlled by traffic lights) despite the fact that no UAE-based scientific study comparing the safety performance of these two intersection types can be found in the literature. Hence, the objectives of this paper are to (i) identify factors that significantly contribute to fatal intersection-related crashes and (ii) assess the in-service safety performance of signalized intersections and roundabouts. It is anticipated that the findings from this research will provide road designers and decision-makers with much needed scientific guidance on which factors contribute to fatal intersection crashes as well as on whether converting existing roundabouts into signalized intersections improves public safety or not in Abu Dhabi. The findings from this research should also benefit neighboring Gulf Cooperation Council (GCC) countries considering their similarities in road design, traffic characteristics, and driving culture.

scholarly journals Smart Cities and Data Analytics for Intelligent Transportation Systems: An Analytical Model for Scheduling Phases and Traffic Lights at Signalized Intersections

2021 ◽  
Vol 11 (15) ◽  
pp. 6816
Author(s):  
Fatih Gunes ◽  
Selim Bayrakli ◽  
Abdul Halim Zaim
Keyword(s):  
Traffic Control ◽  
Intelligent Transportation Systems ◽  
Smart Cities ◽  
Transportation Systems ◽  
Signalized Intersections ◽  
Effective Control ◽  
Main Role ◽  
Smart Transportation ◽  
Traffic Lights ◽  
Service Rates

This paper is intended to improve the performance of signalized intersections, one of the most important systems of traffic control explained within the scope of smart transportation systems. These structures, which have the main role in ensuring the order and flow of traffic, are alternative systems depending on the different methods and techniques used. Determining the operation principles of these systems requires an extremely careful and planned study, considering their important role. Performance outputs obtained from the queue analyses made in previous studies formed the input of this study. The most important techniques are used in the effective control of intersections, such as signal timing: in particular, the use of effective green time and order of the transitions between phases. In this research, a traffic-sensitive signalized intersection control system was designed with the suggested methods against these two problems. The sample intersections were selected from three cities with the highest population density as the case study area. In the analysis of the performance of the connection arms of the selected intersections, flow intensity data were taken into consideration, as well as the arrival and service rates. Based on this, the outputs of the two proposed models regarding the use of phase transitions and effective green durations were compared with two other adaptive control systems and their positive results were shared. The results showed that signalized intersections, operating with a well-planned and correctly chosen technique, better regulate density and queuing.

AN MDP DECOMPOSITION APPROACH FOR TRAFFIC CONTROL AT ISOLATED SIGNALIZED INTERSECTIONS

2008 ◽  
Vol 22 (4) ◽  
pp. 587-602 ◽  
Author(s):  
René Haijema ◽  
Jan van der Wal
Keyword(s):  
Traffic Control ◽  
Dynamic Control ◽  
Signalized Intersections ◽  
Signalized Intersection ◽  
Value Iteration ◽  
Decomposition Approach ◽  
Traffic Lights ◽  
Novel Approach ◽  
Markovian Decision Process ◽  
One Step

This article presents a novel approach for the dynamic control of a signalized intersection. At the intersection, there is a number of arrival flows of cars, each having a single queue (lane). The set of all flows is partitioned into disjoint combinations of nonconflicting flows that will receive green together. The dynamic control of the traffic lights is based on the numbers of cars waiting in the queues. The problem concerning when to switch (and which combination to serve next) is modeled as a Markovian decision process in discrete time. For large intersections (i.e., intersections with a large number of flows), the number of states becomes tremendously large, prohibiting straightforward optimization using value iteration or policy iteration. Starting from an optimal (or nearly optimal) fixed-cycle strategy, a one-step policy improvement is proposed that is easy to compute and is shown to give a close to optimal strategy for the dynamic problem.

scholarly journals Justification of traffic signaling modes at intersections considering the priority of public transport

2021 ◽  
Vol 2021 (1) ◽  
pp. 13-24
Author(s):  
Ivan Pasnak ◽  
◽  
Artur Renkas ◽  
Keyword(s):  
Urban Space ◽  
Public Transport ◽  
Traffic Management ◽  
Road Network ◽  
Negative Impact ◽  
Signalized Intersections ◽  
Light Cycle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road

With the growth of the road transport fleet and increase of urban agglomerations, the availability of private transport on the streets of cities with a population over 500 thousand inhabitants is quite noticeable. The previously developed general plans of such settlements, in modern realities, are impossible to implement both from a financial point of view and in terms of the urban space organization. Given the impossibility of meeting the needs of private car users, public transport comes first in the priorities of urban mobility. Problematic areas of the road network in many western Ukrainian cities are those that are densely populated. In such cases, it is not always possible to redesign elements of street sections or intersections, so the traffic management improvement is limited to organizational measures. Among them, the most popular and least expensive are the change the modes of light control at intersections. Considering modern opportunities, technical means and scientific achievements, the capacity of signalized intersections is high. The same applies to the principles of giving priority to public transport over time (at signalized intersections). At present, a significant number of methods and algorithms for detecting and heading the movement of public transport at traffic lights have been developed, however, the criteria for the application of each of them are not fully understood. As a result of the conducted research, the change of queues in front of stop-lines at intersections depending on types of signalization is defined. The results showed that the existing type of control creates significant traffic delays on secondary streets. As a result, it is proposed to use adaptive control, which provides for the adjustment of the traffic light cycle in the presence of tram traffic. Using traffic simulation tools, it became possible to choose different modes of traffic lights control at intersections, which can provide public transport priority, while minimizing the negative impact on the adjacent elements of the road network.

scholarly journals The Research of Vehicle Acceleration at Signalized Intersections

1970 ◽  
Vol 25 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Vuk Bogdanović ◽  
Nenad Ruškić ◽  
Zoran Papić ◽  
Milan Simeunović
Keyword(s):  
Video Recording ◽  
Local Environment ◽  
Signalized Intersections ◽  
Driving Dynamic ◽  
Accurate Analysis ◽  
Local Conditions ◽  
Traffic Lights ◽  
Vehicle Acceleration ◽  
Almost All ◽  
Novi Sad

Vehicle acceleration is an important parameter used in planning various road elements, traffic signalization, geometric elements of an intersection, signal plans of traffic lights, etc. The knowledge of vehicle acceleration values is also necessary in using simulation softwares for more accurate analysis of the total situation at an intersection, on a road section or in a traffic network. In a lot of earlier studies, acceleration values were analysed and defined, mostly in optimal conditions for traffic functioning. However, values of almost all traffic flow parameters have been changed over time, due to changes in driving-dynamic vehicle characteristics, pneumatic tyres, material used for building road surface, etc. Besides, local environment influence and changes in drivers’ behaviour also significantly affect values of this parameter. According to HCM, it is advisable to perform local research for all values of the parameters recommended within the framework of this handbook, and to adapt their values to local conditions as well. The results of measuring the values of vehicles acceleration at signalized intersections in Novi Sad, Serbia, have been shown in this paper, using the procedure based on video recording processing.

Modeling Interstation Travel Speed of Hybrid Bus Rapid Transit within A Bayesian Framework

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Ji-hua Hu ◽  
Jia-xian Liang
Keyword(s):  
Road Traffic ◽  
Travel Speed ◽  
Bayesian Framework ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Important Indicator ◽  
Main Road ◽  
Traffic Lights ◽  
Speed Distribution ◽  
Hybrid Bus

Interstation travel speed is an important indicator of the running state of hybrid Bus Rapid Transit and passenger experience. Due to the influence of road traffic, traffic lights and other factors, the interstation travel speeds are often some kind of multi-peak and it is difficult to use a single distribution to model them. In this paper, a Gaussian mixture model charactizing the interstation travel speed of hybrid BRT under a Bayesian framework is established. The parameters of the model are inferred using the Reversible-Jump Markov Chain Monte Carlo approach (RJMCMC), including the number of model components and the weight, mean and variance of each component. Then the model is applied to Guangzhou BRT, a kind of hybrid BRT. From the results, it can be observed that the model can very effectively describe the heterogeneous speed data among different inter-stations, and provide richer information usually not available from the traditional models, and the model also produces an excellent fit to each multimodal speed distribution curve of the inter-stations. The causes of different speed distribution can be identified through investigating the Internet map of GBRT, they are big road traffic and long traffic lights respectively, which always contribute to a main road crossing. So, the BRT lane should be elevated through the main road to decrease the complexity of the running state.

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