Feasibility Study of Traffic Signals at Intersections in Peshawar, Pakistan

2012 ◽  
Vol 253-255 ◽  
pp. 1645-1649
Author(s):  
Rawid Khan ◽  
Ghulam Dastagir ◽  
Omar Shahid ◽  
Zeeshan Ahmed ◽  
Bashir Alam
Keyword(s):  
Traffic Management ◽  
Management Strategies ◽  
Traffic Signals ◽  
Level Of Service ◽  
Signal Timing ◽  
Traffic Data ◽  
Ongoing Research ◽  
The Road ◽  
Micro Simulation ◽  
Signal Time

The paper is part of an ongoing research project on traffic management strategies for Peshawar Pakistan. Traffic data collected and warrant tests checked at selected intersections. Peak hour vehicular volume warrant test selected and performed at intersections. Signal timing capacity and delay analysis performed and level of service determined for selected intersection. It was found that “for the same width of the road” the delay and level of service is different at different locations and the corresponding signal time is also different. Some data also analysed in 3D micro simulation.

scholarly journals Improving the Traffic Flow for Kajang Town by using TRANSYT-7F Software

2020 ◽  
Vol 9 (4) ◽  
pp. 2216-2221
Keyword(s):  
Traffic Congestion ◽  
Video Recording ◽  
Traffic Signals ◽  
Level Of Service ◽  
Signal Timing ◽  
Average Delay ◽  
The Road ◽  
On The Road ◽  
The Town ◽  
Road Junction

The rapid population growth of Kajang town and the increase in the number of vehicles have caused an increase in the daily trips made on most streets and at the intersections of the town, especially during peak hours. This has worsened the traffic congestion on the road networks. This study aims to evaluate the existing level of service (LOS) and coordinate the traffic signals in order to enhance the efficiency of road junction networks in Kajang. The traffic data at 15 intersections were gathered via video recording during the morning peak hour. This study used the Traffic Network Study Tool Version 7F (TRANSYT-7F) software to analyzing and evaluating the performance of road junction networks based on simulation and signal timing optimization. The results show that the software was able to improve the performance of network intersections. The performance index (PI) increased to 44% and fuel consumptions (FUC) were reduced 25.7% and reduced average delay from 85.5 Veh/Sec to 28.9 Veh/Sec. Hence, the level of service (LOS), system speed and average delay were also improved by the coordination of the traffic signals.

scholarly journals Reconfigurable SRTM System for Road Traffic in Kingdom of Bahrain

2016 ◽  
Vol 17 (4) ◽  
pp. 298-306 ◽  
Author(s):  
Wael El-Medany ◽  
Alauddin Al-Omary ◽  
Riyadh Al-Hakim ◽  
Taher Homeed
Keyword(s):  
Traffic Management ◽  
Road Traffic ◽  
Traffic Signals ◽  
Google Maps ◽  
Traffic System ◽  
The Road ◽  
Field Programmable ◽  
Hardware Description ◽  
Traffic Management System ◽  
On The Road

Abstract This paper presents reconfigurable hardware architecture for smart road traffic system based on Field Programmable Gate Array (FPGA). The design can be reconfigured for different timing of the traffic signals according to the received and collected data read by the different sensors on the road; the design has been described using VHDL (VHSIC Hardware Description Language). The SRTM (Smart Road Traffic Management) System has some more features that help passenger to avoid traffic jamming by sending the collected information through web/mobile applications to find the best road between the start and destination points, which will be displayed on Google maps, at the same time it will also shows the points of traffic jamming on Google maps. SRTM system can also manage emergency vehicles such as ambulance and fire fighter and also can send snapshots and video streaming for different roads and junctions to show the points of traffic jamming. The design has been simulated and tested using ModelSim PE student edition 10.4. Spartan 3 FPGA starter kit from Xilinx has been used for implementing and testing the design in a hardware level.

Framework for Dynamic OD Matrix Estimation Based on Multi-Source Traffic Data Fusion

2014 ◽  
Vol 505-506 ◽  
pp. 1153-1156 ◽  
Author(s):  
Xu Zhou ◽  
Zhao Liu ◽  
Xiao Xiao Zhao ◽  
Jian Hua Guo
Keyword(s):  
Information Systems ◽  
Traffic Management ◽  
Management Systems ◽  
Traffic Data ◽  
Transportation Management ◽  
Matrix Estimation ◽  
Od Estimation ◽  
The Road ◽  
Data Estimation

The advanced transportation management and information systems (ATMIS) are strengthening the capability of collecting multi-source traffic data constantly from the road networks. Considering the fundamental role of dynamic Origin-Destination data for many advanced traffic management systems, it is promising to apply the multi-source traffic data to improve the dynamic OD estimation. Targeting dynamic OD data estimation, the classical OD data estimation approaches are discussed, and a framework of dynamic OD estimation based on multi-source traffic data is proposed and analyzed. Future researches are recommended in the end.

scholarly journals ANALISA KINERJA PERSIMPANGAN BERSINYAL PADA PERSIMPANGAN ANGKATAN 66 DAN RUAS JALAN R. SOEKAMTO KOTA PALEMBANG

2018 ◽  
Vol 6 (2) ◽  
pp. 124-136
Author(s):  
Redaksi Tim Jurnal
Keyword(s):  
Economic Growth ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Level Of Service ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
The Road ◽  
Operation Speed ◽  
Rapid Economic Growth ◽  
Vehicular Traffic Flow

Transportation is a very important and strategic means to facilitate the movement in an effort to meet the needs of the community. Planning and construction of transportation facilities and infrastructure, greatly influence in determining the increase of economic growth in supporting the achievement of development targets. The real impact that occurs as a result of rapid economic growth, population growth, and changes in land use affects the performance of intersections and roads, especially the problem of congestion, delays, queues opportunities and other issues. Based on the result of calculation analysis which have been done by using Indonesian Highway Capacity Manual method (IHCM), capacity of intersection of Angkatan 66 Palembang on the condition of the morning peak was 3007 smp / hour at peak lunch was 2875 smp / hour and the afternoon peak is 2997 smp / hour. The high movement of vehicular traffic flow at the intersection of Angkatan 66 and the road R. Soekamto indicates that the level of service is not sufficient to meet traffic needs, this can be seen from the Lower level of service or performance (Level of Service / LOS) at the intersection Angkatan 66 and the road R. Soekamto C (0,7908) and D (0,889) are at the level where the current begins unstable operation speed relatively quick decline due to the obstacles that arise. So to overcome the problem of alternative road widening or construction of fly over (fly over) and traffic management in the form of traffic engineering management has to be implemented.

scholarly journals Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles

2021 ◽  
Vol 2021 ◽  
pp. 1-29
Author(s):  
Narayana Raju ◽  
Haneen Farah
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Autonomous Vehicle ◽  
Flow Characteristics ◽  
Application Programming Interface ◽  
Automated Vehicles ◽  
Ongoing Research ◽  
The Road ◽  
Application Programming ◽  
On The Road

Traffic microsimulation has a functional role in understanding the traffic performance on the road network. This study originated with intent to understand traffic microsimulation and its use in modeling connected and automated vehicles (CAVs). Initially, the paper focuses on understanding the evolution of traffic microsimulation and on examining the various commercial and open-source simulation platforms available and their importance in traffic microsimulation studies. Following this, current autonomous vehicle (AV) microsimulation strategies are reviewed. From the review analysis, it is observed that AVs are modeled in traffic microsimulation with two sets of strategies. In the first set, the inbuilt models are used to replicate the driving behavior of AVs by adapting the models’ parameters. In the second strategy, AV behavior is programmed with the help of externalities (e.g., Application Programming Interface (API)). Studies simulating AVs with inbuilt models used mostly VISSIM compared to other microsimulation platforms. In addition, the studies are heavily focused on AVs’ penetration rate impact on traffic flow characteristics and traffic safety. On the other hand, studies which simulated AVs with externalities focused on the communication aspects for traffic management. Finally, the cosimulation strategies for simulating the CAVs are explored, and the ongoing research attempts are discussed. The present study identifies the limitations of present CAV microsimulation studies and proposes prospects and improvements in modeling AVs in traffic microsimulation.

scholarly journals Evaluation of Two Improved Schemes at Non-Aligned Intersections Affected by a Work Zone with an Entropy Method

2020 ◽  
Vol 12 (14) ◽  
pp. 5494
Author(s):  
Yang Shao ◽  
Zhongbin Luo ◽  
Huan Wu ◽  
Xueyan Han ◽  
Binghong Pan ◽  
...  
Keyword(s):  
Traffic Management ◽  
Control Strategies ◽  
Management Strategies ◽  
Entropy Method ◽  
Work Zone ◽  
Work Zones ◽  
Research Results ◽  
The Road ◽  
Traffic Operation ◽  
The Impact

The impact of work zones on traffic is a common problem encountered in traffic management. The reconstruction of roads is inevitable, and it is necessary and urgent to reduce the impact of the work zone on the operation of traffic. There are many existing research results on the influence of highway work zones, including management strategies, traffic flow control strategies, and various corresponding model theories. There are also many research results on the impacts of urban road and subway construction on traffic operation, including construction efficiency, economic impact, and travel matrix. However, there are few studies concerning the choice of work zone location, and most previous studies have assumed that the work zone choice was scientific and reasonable. Therefore, it is reasonable to choose the location of the work zone and to assess whether there is room for improvement in the road form of the work zone, but this remains a research gap. Therefore, we studied a seven-lane main road T-intersection in Xi’an, China, and investigated a work zone located at this intersection that caused a road offset, leading to the non-aligned flow of main traffic. We designed two road improvement schemes and multiple transition schemes, used VISSIM software to evaluate the traffic operation of the two schemes, and used the entropy method to choose the suitability of the two schemes under different conditions. According to the results, in the best case, the driving time, delay, and number of stops are reduced by 44%, 66%, and 92%.

scholarly journals An IoT based Ambulance Guidance System Under Emergency Condition

2020 ◽  
Vol 9 (1) ◽  
pp. 310-313
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Traffic Management ◽  
Traffic Signals ◽  
Guidance System ◽  
Population Increase ◽  
Management Problem ◽  
Road Accidents ◽  
The Road ◽  
Almost All

In our country almost all the states are facing traffic congestion severely, mainly in urban areas. The road accidents are increasing because of the traffic blockage which ruin the human lives. Due to population increase, the numbers of the regions are widening and the number of vehicles is also rising. Traffic is the main factor contributing to accident and it also causes some delay in getting to the destination. Thus traffic managing and regulating is the main traffic management problem. The ambulance and the traffic signals are integrated with some embedded systems to find out the accident spot through GPS. The accidents are determined by fixing the sensors in it. This paper provides an idea in order to control the accidents by implementing a solution where Traffic signals are dynamically operated in its way and traffic congestion rates are lowered

scholarly journals Smart Real-Time Traffic Optimization System

2019 ◽  
Vol 8 (2S4) ◽  
pp. 56-58
Keyword(s):  
Real Time ◽  
Traffic Signals ◽  
Fixed Time ◽  
Traffic Data ◽  
Optimization System ◽  
The Road ◽  
Real Time Traffic ◽  
Yellow Orange ◽  
Optimization Methodology ◽  
Traffic Optimization

Today’s traffic situations in busy cities require a smarter traffic signal optimization methodology to regulate the traffic in an orderly manner. Traffic signals are set to a fixed time limit in most of the road junctions. This leads to a dead lock in many junctions because they do not recognize the density of traffic in each road. People want to reach their destinations as quickly as possible. Our proposed Smart Real-Time Traffic Optimization System (SRTOS) provides optimization of traffic signals based on real time Google traffic data. In Google maps, traffic data is indicated through different colors (dark red, red, yellow, orange and green). These colors are processed to find out the traffic around a particular traffic junction and preference is given to the road that has a maximum traffic in the traffic junction, thereby easing out the congestion in that junction. Following similar patterns of activities for all other traffic junctions, wherever possible, will be helpful to drastically ease the flow of traffic patterns of a particular city. This is to fulfill the objective of smoother traffic flow without making people to wait and waste their valuable time

Risk Evaluation for Conflicts between Crossing Pedestrians and Right-Turning Vehicles at Intersections

2021 ◽  
pp. 036119812110318
Author(s):  
Feifei Xin ◽  
Xiaobo Wang ◽  
Chongjing Sun
Keyword(s):  
Traffic Management ◽  
Traffic Signals ◽  
Control Measures ◽  
Video Information ◽  
Fuzzy Clustering Method ◽  
Different Types ◽  
Micro Level ◽  
Conflict Risk ◽  
And Control ◽  
Deceleration Time

In recent years, conflicts between crossing pedestrians and right-turning vehicles have become more severe at intersections in China, where right-turning vehicles are usually not controlled by traffic signals. This study proposes a quantitative method for evaluating the conflict risk between pedestrians and right-turning vehicles at intersections based on micro-level behavioral data obtained from video detection. A typical intersection in Shanghai was selected as the study site. In total, 670 min of video were recorded during the peak hours from 7:30 a.m. to 9:30 p.m on one day. After processing the video information, vehicle and pedestrian tracking data were obtained, including the velocity, acceleration, deceleration, time, and location coordinates. Based on these data, several conflict indicators were proposed and these indicators were extracted automatically using MATLAB to identify pedestrian–right-turning vehicle conflicts and to determine the severity of the conflicts identified. This process identified 93 examples of such conflicts. The conflict risks were quantitatively classified using the K-means fuzzy clustering method and all of the conflicts were assigned to five grades. The characteristics of the conflict distribution and the severity of different types of conflict were also analyzed, which showed that conflicts on different areas on the crosswalk differed in their severity. Based on the conclusions, practical traffic management and control measures are proposed to reduce the risk on pedestrian crossings.

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