Green Time Usage Metrics on Signalized Intersections and Arterials using High-Resolution Traffic Data

The problem of traffic safety has become increasingly prominent owing to the increase in the number of cars. Traffic accidents often occur in an instant, which makes it necessary to obtain traffic data with high resolution. High-resolution micro traffic data (HRMTD) indicates that the spatial resolution reaches the centimeter level and that the temporal resolution reaches the millisecond level. The position, direction, speed, and acceleration of objects on the road can be extracted with HRMTD. In this paper, a LiDAR sensor was installed at the roadside for data collection. An adjacent-frame fusion method for vehicle detection and tracking in complex traffic circumstances is presented. Compared with the previous research, objects can be detected and tracked without object model extraction or a bounding box description. In addition, problems caused by occlusion can be improved using adjacent frames fusion in the vehicle detection and tracking algorithms in this paper. The data processing procedure are as follows: selection of area of interest, ground point removal, vehicle clustering, and vehicle tracking. The algorithm has been tested at different sites (in Reno and Suzhou), and the results demonstrate that the algorithm can perform well in both simple and complex application scenarios.

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Analysis of Spontaneous Order of Pedestrian–Vehicle Conflicts at Signalized Intersections

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198120945994 ◽

2020 ◽

Vol 2674 (11) ◽

pp. 440-454

Author(s):

Abhinav Kumar ◽

Indrajit Ghosh

Keyword(s):

Signalized Intersections ◽

Spontaneous Order ◽

Traffic Data ◽

Linear Regression Models ◽

Urban Networks ◽

Group Type ◽

Road Users ◽

Binary Logit ◽

Physical Barriers ◽

Major Factors

Unsafe interactions among road users are often seen on the urban networks of India. The conventional transportation planning method deals with this problem by segregating different modes to minimize intermodal conflicts. However, another school of thought recommends that spaces should be designed to ensure minimum segregation between road users by removing physical barriers and eliminating rules. Once the rules are lifted, road users become attentive to their surroundings, and therefore spontaneous order emerges. The main objective of this study is to explore the yielding behavior of road users during conflicts and analyze the spontaneous order developed at intersections. Traffic data was collected from 12 signalized intersections in India. A total of 1,785 conflicts between pedestrians and vehicles were observed during peak hours at the intersection locations. The modal dominance was examined for whether a pedestrian yields to a vehicle or vice versa. Two multiple linear regression models were developed to analyze the effect of various factors (speed and volume of pedestrians and vehicles, and size of intersection) on the number of conflicts and the proximity of conflicts. The dominance of pedestrians and vehicles was predicted with the help of the binary logit model. The model results suggested that vehicle volume, type of vehicle, noncompliance with signals by pedestrians, number of pedestrians crossing in a group, type of pedestrian–vehicle interaction, and size of intersection are some of the major factors that are significant predictors of the dominance of road users.

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A high-resolution spatial and temporal on-road vehicle emission inventory in an Iranian metropolitan area, Isfahan, based on detailed hourly traffic data

Atmospheric Pollution Research ◽

10.1016/j.apr.2020.06.006 ◽

2020 ◽

Vol 11 (9) ◽

pp. 1598-1609 ◽

Cited By ~ 2

Author(s):

Omid Ghaffarpasand ◽

Mohammad Reza Talaie ◽

Hossein Ahmadikia ◽

Amirreza Talaie Khozani ◽

Maryam Davari Shalamzari

Keyword(s):

High Resolution ◽

Metropolitan Area ◽

Emission Inventory ◽

Vehicle Emission ◽

Traffic Data ◽

Road Vehicle

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Improvement of traffic performance at intersections in Karbala city

MATEC Web of Conferences ◽

10.1051/matecconf/201816201032 ◽

2018 ◽

Vol 162 ◽

pp. 01032

Author(s):

Gandhi Sofia ◽

Abdulhaq Al-Haddad ◽

Israa Saeed Al-Haydari

Keyword(s):

Road Network ◽

Video Recording ◽

Signalized Intersections ◽

The Other ◽

Traffic Data ◽

Recording Technique ◽

The Road ◽

Traffic Performance ◽

Southern Side ◽

Pavement Marking

This study deals with the evaluation of traffic performance at the road network around the old city of Karbala from the southern side, at Al-Tarbia Street and Fatima Al-Zahraa Street, through the evaluation of intersections performance. This is followed by suggestions of some improvement proposals, which vary from changing timing plan, geometric improvement, to change intersection type completely. The study area composed of seven intersections, three intersections are four legs signalized, and the other four are roundabouts. The video recording technique is used to collect the traffic data for 27 approaches. These data are abstracted from video films using EVENT program, and processed by prepared EXCEL sheets. While, the spot speed data for each entire link in the network are collected using pavement marking method. SYNCHRO software was used for evaluation and analysis of signalized intersections, suggestion of best timing plan, and coordination. SIDRA INTERSECTION software was used for evaluation and analysis of both signalized intersections and roundabouts. The best proposal was also evaluated for the target year.

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