scholarly journals Exploring factors associated with red-light running: a case study of Hanoi city

2021 ◽  
Vol 72 (7) ◽  
pp. 800-810
Author(s):  
Dung Chu Tien

Red-light running (RLR) is the most significant factor involved in traffic crashes and injuries at signalized intersections. In Vietnam, little knowledge of factors affecting RLR has been found. This paper applied an ordered probit model to investigate factors associated with RLR using questionnaire data collected in Hanoi. Generally, this paper found that males and motorcyclists have a higher likelihood of RLR than females and car drivers. In addition, the younger and lower-income road users and the ones who are businessmen and who have a commuting trip in off-peak hours are more likely to run the red light. By contrast, the road users who go to school and the people who understand traffic law are less likely to violate the red light. In the future, it is necessary to collect data in different cities to generalize the results. In addition, may need to apply a more powerful method such as the latent class model, which can discover hidden facts among respondents. In the new model, other factors such as weather, waiting time, and countdown signal will be considered to investigate their effects on RLR.

2021 ◽  
Vol 11 (7) ◽  
pp. 101
Author(s):  
Andrew Paul Morris ◽  
Narelle Haworth ◽  
Ashleigh Filtness ◽  
Daryl-Palma Asongu Nguatem ◽  
Laurie Brown ◽  
...  

(1) Background: Passenger vehicles equipped with advanced driver-assistance system (ADAS) functionalities are becoming more prevalent within vehicle fleets. However, the full effects of offering such systems, which may allow for drivers to become less than 100% engaged with the task of driving, may have detrimental impacts on other road-users, particularly vulnerable road-users, for a variety of reasons. (2) Crash data were analysed in two countries (Great Britain and Australia) to examine some challenging traffic scenarios that are prevalent in both countries and represent scenarios in which future connected and autonomous vehicles may be challenged in terms of safe manoeuvring. (3) Road intersections are currently very common locations for vulnerable road-user accidents; traffic flows and road-user behaviours at intersections can be unpredictable, with many vehicles behaving inconsistently (e.g., red-light running and failure to stop or give way), and many vulnerable road-users taking unforeseen risks. (4) Conclusions: The challenges of unpredictable vulnerable road-user behaviour at intersections (including road-users violating traffic or safe-crossing signals, or taking other risks) combined with the lack of knowledge of CAV responses to intersection rules, could be problematic. This could be further compounded by changes to nonverbal communication that currently exist between road-users, which could become more challenging once CAVs become more widespread.


2015 ◽  
Vol 1 (2) ◽  
pp. 141-155
Author(s):  
Mul Yadi ◽  
Harry Rudyantoro ◽  
Ujang Bahar

ABSTRACT  Related to the implementation of the Regional Regulation (Perda) about the increase in parking rates at the edge of the road prone to congestion in the city of Bogor ratified and entered into force on July 2, 2012, The first location that imposed this tariff is the Way Suryakencana and Jalan Siliwangi Bogor and the second location is the application of The Government through the Department trials Traffic Transportation (DLLAJ) Bogor City gets a reaction from the people around Jalan Suryakencana. Enactment of the increase in parking rates at Jalan Bogor Suryakencana expected to reduce illegal parking of vehicles in the area, which has been causing congestion. With parking rates that have been enacted many road users who park their vehicles in multiple and indiscriminate. The method used in this study is empirical juridical approach. The study, based on an inventory of positive law, the discovery of the principles of law and legal discovery inconcretto, which include observation of empirical operationalization of law in society. The conclusion from this study is the basis of the application of the levy Parking Services Bank Public Road, especially in the city of Bogor is Law No. 28 of 2009 on Regional Taxes and Levies and Regional Regulation No. 4 of 2012. Implementation of Regional Regulation No. 4 of 2012 on Increase Rates Parking is not yet fully effective this is due to high payments also has not been matched with adequate services, the responsibility for the damage and loss still be a burden for the owner of the vehicle so that the functions and responsibilities of the government that deal with parking problems is questionable. Impact parking tariff policy to demand that any increase in the parking rate of 10 percent would result in a decrease in the use of parking of 0.7 -0.8 percent, increase use of public transport and cycling amounted to 3.71 percent of 0.9 percent. This figure is even greater in the short term, when applied can lead to a new increase in the elasticity to be about - 0.28., Where the parking lot reducing the length of parking time and reduce the amount of parking.  Keywords: Regional Regulation, Rates Parking, Traffic Order


2020 ◽  
pp. 128-132
Author(s):  
Nandhini N ◽  
Siva Sangari M

Walking is the special mode of transportation that comprises 60% of the World’s population. This population includes the pedestrians as the focus of sight, because they are considered as the road users. Understanding the behavior of road users is a difficult task as people have complex mindsets. When people are crossing the road, they have been subjected to various attitude issues and other psychological issues. The prediction of the pedestrian’s motion is very ridiculous, because their motions has to be predicted related to the traffic parameter. A prediction algorithm always uses the past experiences to anticipate the future events. These algorithms use the set of sample data from a sample collected over a period. This makes prediction algorithms more ideal to use within smart environments. So as a part of this study, we have compared various algorithms, for their accurateness of the prediction on pedestrians’ movements. This paper also focuses on the various pedestrian’s data set, pedestrian behavior estimation and the various algorithms used to predict the behavior of the people. As a part of our research on pedestrian safety prediction would be done by providing an efficient prediction algorithm based on their movements, ecological factors, pedestrians’ psychological factors, other outreaches.


2021 ◽  
Author(s):  
Devi R

<div>In recent years, the occurrence of road accidents increases drastically. There are many factors influencing the road accidents. Nowadays usage of mobile phones while driving is common but it leads to the distraction in driving and subsequently causes accidents. Though jurisdictions are made that usage of electronic devices such as mobile phones, tablets, laptops while driving are illegal, no one is aware of that. The drivers who use mobile gadgets while driving not only risk their lives but also the people around them. Most of the road users are well aware of the general rules and safety measures. However due to human errors, accidents occur. To overcome from the human errors this paper focuses on developing a security alert system for drivers using edge computing paradigm.</div>


2021 ◽  
Author(s):  
Devi R

<div>In recent years, the occurrence of road accidents increases drastically. There are many factors influencing the road accidents. Nowadays usage of mobile phones while driving is common but it leads to the distraction in driving and subsequently causes accidents. Though jurisdictions are made that usage of electronic devices such as mobile phones, tablets, laptops while driving are illegal, no one is aware of that. The drivers who use mobile gadgets while driving not only risk their lives but also the people around them. Most of the road users are well aware of the general rules and safety measures. However due to human errors, accidents occur. To overcome from the human errors this paper focuses on developing a security alert system for drivers using edge computing paradigm.</div>


2020 ◽  
Vol 2 (26(53)) ◽  
pp. 8-10
Author(s):  
T.V. Gavrilenko ◽  
S.S. Kotlova

The results of a questionnaire survey of 87 drivers of motor transport enterprises, conducted in order to identify factors affecting traffic safety in terms of perception of the road by the driver, are presented. In the list, which included 11 factors, it was necessary to put down points as their impact on traffic safety decreased. A 10 point scale was applied. The score averaged over the number of questionnaires was calculated for each factor, according to which the factors were ranked in decreasing average score. The most dangerous factors were those associated with potholes, cracks and uneven surfaces. The least significant are the factors associated with stagnation of water on the roads, the formation of erosion on the roadsides and slopes of the roads and dust cover.


KS Tubun Street is a street in Bogor, which has a fairly high vehicle volume and become one of a high-traffic jam area. This is caused by KS Tubun Street is the main road for road users from Jakarta and Bogor. Traffic jam problem that occurs due to the confluence interchange of traffic flow and traffic lights settings that are not proportional to the volume of vehicles across the road. Optimization of traffic flow at KS Tubun Street performed by the stages of forming a model of traffic flow, determining the density and velocity of the vehicle is based on the Greenberg model, and determining the length of the traffic lights to avoid a buildup of vehicles. The result is a traffic flow model with distance and time parameters. The density of vehicles that occurs on the streets of KS. Tubun street based on the Greenberg model between 180 to 240 unit car of passanger (ucp) with the average velocity of vehicles 15 to 19.5 km per hour. The density of vehicles on KS. Tubun street can be break down by increasing time. Traffic light cycle time can be reduced for 8 seconds with the red light glowing time is 80 seconds and the green light glowing time is 62 seconds.


2020 ◽  
Author(s):  
Piyanat Jantosut ◽  
Wichuda Satiennam ◽  
Thaned Satiennam ◽  
Sittha Jaensirisak

2021 ◽  
Vol 11 (1) ◽  
pp. 105-116
Author(s):  
Xiaoxia Xiong ◽  
Shuichao Zhang ◽  
Lin Guo

The paper aims to explore underlying patterns of non-motorized vehicle (NM, including both regular bicycles and e-bikes) traffic accident occurrences based on precrash behaviors. A quarter-year data of NM accidents was collected by Yinzhou Traffic Police Department of Ningbo, China. Descriptive statistics and Rough Set theory were used to examine rules within different types of NM accidents from temporal, spatial, and behavioral aspects. Some main findings include: behavior patterns of different parties involved vary across different accident types, levels of roads, and intersections; motorized vehicle’s illegal turning as well as NM’s reverse riding are the two key behaviors that deserve concern across all levels of roads and intersection; in addition, for higher level urban roads more attention should be focused on lane violations of motorized vehicles, and for branch roads and intersections prevention efforts could be directed to motorized vehicles’ illegal turning around and NM’s red-light running respectively. Results from this paper could facilitate related staff formulating more targeted policies to make roadways safer.


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