scholarly journals Research on the Method of Setting Waiting Area for Non-motor Vehicle at Signal Control Intersection

2018 ◽  
Vol 38 ◽  
pp. 03021 ◽  
Author(s):  
Yun Xia Wang ◽  
Dong Bo Liu

Electric bicycle has become an indispensable important component of the transportation system. The fact is that traffic organization and channelizing design of signal control intersection is not intensive, which cannot adapt to the current traffic demand of non-motor vehicle, such as unclear traffic rules and poor visibility, thus the traffic safety of non-motor vehicle is not optimistic. Therefore, it is necessary to study on traffic organization method based on the demand of non-motor vehicle, which can provide certain theoretical basis for traffic administrative department to make policy and traffic design. This article focuses on the method of setting waiting area for non-motor vehicle at signal control intersection, including the advantages, disadvantages and the applicable conditions.

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Hongxiao Wang ◽  
Qiang Li ◽  
Sang-Bing Tsai

With the rapid economic development and urbanization process accelerating, motor vehicle ownership in large cities is increasing year by year; urban traffic congestion, parking difficulties, and other problems are becoming increasingly serious; in ordinary daily life, continuous risk of disturbance, having a flexible transportation system network is more able to alleviate daily congestion in the city, and the main thing about flexible transportation network is its algorithm. It is worth noting that congestion in many cities is generally reflected in the main roads, while many secondary roads and branch roads are underutilized, and the limited road resources in cities are not fully utilized. As an economic and effective road traffic management measure, one-way traffic can balance the spatial and temporal distribution of traffic pressure within the road network, make full use of the existing urban road network capacity, and solve the traffic congestion problem. Therefore, it is of great theoretical and practical significance to develop a reasonable and scientific one-way traffic scheme according to the characteristics of traffic operation in different regions. Based on the fixed demand model, the influence of traffic demand changes is further considered, the lower-level model is designed as an elastic demand traffic distribution model, the excess demand method is used to transform the elastic demand problem into an equivalent fixed demand problem based on the extended network, and the artificial bee colony algorithm based on risk perturbation is designed to solve the two-level planning model. The case study gives a one-way traffic organization optimization scheme that integrates three factors, namely, the average load degree overload limit of arterial roads, the detour coefficient, and the number of on-street parking spaces on feeder roads, and performs sensitivity analysis on the demand scaling factor.


2020 ◽  
Vol 4 (3-4) ◽  
pp. 238-259 ◽  
Author(s):  
Marshall W. Meyer

Abstract Research Question What happened to US traffic safety during the first US COVID-19 lockdown, and why was the pattern the opposite of that observed in previous sudden declines of traffic volume? Data National and local statistics on US traffic volume, traffic fatalities, injury accidents, speeding violations, running of stop signs, and other indicators of vehicular driving behavior, both in 2020 and in previous US economic recessions affecting the volume of road traffic. Methods Comparative analysis of the similarities and differences between the data for the COVID-19 lockdown in parts of the USA in March 2020 and similar data for the 2008–2009 global economic crisis, as well as other US cases of major reductions in traffic volume. Findings The volume of traffic contracted sharply once a COVID-19 national emergency was declared and most states issued stay-at-home orders, but motor vehicle fatality rates, injury accidents, and speeding violations went up, and remained elevated even as traffic began returning toward normal. This pattern does not fit post-World War II recessions where fatality rates declined with the volume of traffic nor does the 2020 pattern match the pattern during World War II when traffic dropped substantially with little change in motor vehicle fatality rates. Conclusions The findings are consistent with a theory of social distancing on highways undermining compliance with social norms, a social cost of COVID which, if not corrected, poses potential long-term increases in non-compliance and dangerous driving.


Author(s):  
S M A Bin Al Islam ◽  
Mehrdad Tajalli ◽  
Rasool Mohebifard ◽  
Ali Hajbabaie

The effectiveness of adaptive signal control strategies depends on the level of traffic observability, which is defined as the ability of a signal controller to estimate traffic state from connected vehicle (CV), loop detector data, or both. This paper aims to quantify the effects of traffic observability on network-level performance, traffic progression, and travel time reliability, and to quantify those effects for vehicle classes and major and minor directions in an arterial corridor. Specifically, we incorporated loop detector and CV data into an adaptive signal controller and measured several mobility- and event-based performance metrics under different degrees of traffic observability (i.e., detector-only, CV-only, and CV and loop detector data) with various CV market penetration rates. A real-world arterial street of 10 intersections in Seattle, Washington was simulated in Vissim under peak hour traffic demand level with transit vehicles. The results showed that a 40% CV market share was required for the adaptive signal controller using only CV data to outperform signal control with only loop detector data. At the same market penetration rate, signal control with CV-only data resulted in the same traffic performance, progression quality, and travel time reliability as the signal control with CV and loop detector data. Therefore, the inclusion of loop detector data did not further improve traffic operations when the CV market share reached 40%. Integrating 10% of CV data with loop detector data in the adaptive signal control improved traffic performance and travel time reliability.


2021 ◽  
Author(s):  
Hongrui Zhang ◽  
Shengrui Zhang ◽  
Xingyu Ji ◽  
Miao Hao
Keyword(s):  

2009 ◽  
Vol 7 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Mike Males

Teenagers’ high rates of motor vehicle crashes, accounting for 40% of external deaths among 16-19 yearolds, have been ascribed largely to inherent “adolescent risk-taking” and developmental hazards. However, the fact that compared to adults 25 and older, teenagers are twice as likely to live in poverty and low-income areas, risk factors for many types of violent death, has not been assessed. This paper uses Fatality Analysis Reporting System data on 65,173 fatal motor vehicle crashes by drivers in California’s 35 most populous counties for 1994-2007 to analyze fatal crash involvements per 100 million miles driven by driver age, county, poverty status, and 15 other traffic safety-related variables. Fatal crash rates were substantially higher for every driver age group in poorer counties than in richer ones. Multivariate regression found socioeconomic factors, led by the low levels of licensing and high unemployment rates prevalent in low-income areas, were associated with nearly 60% of the variance in motor vehicle crash risks, compared to 3% associated with driver age. The strong association between fatal crash risk and poverty, especially for young drivers who are concentrated in high-poverty brackets and low-income areas, suggests that factors related to poorer environments constitute a major traffic safety risk requiring serious attention.


Author(s):  
Aleksei Viktorovich Ravnyushkin ◽  
Aleksandr Petrovich Nagorny

One of the most acute problems nowadays is the prob-lem of reducing not only the rate of accidents, but also the number of injuries and deaths on the roads. The in-crease in the number of minors injured in road acci-dents, including those driving motor vehicles, causes particular concern. It is stated that bringing individuals to administrative responsibility is possible for transfer-ring control of a motor vehicle to a person who knowing-ly does not have the right to drive a motor vehicle under Part 3 of Article 12.7 of the Code of Administrative Of-fences of the Russian Federation, and also for not taking measures to prevent repeated driving vehicles by mi-nors who do not have such right, under Part 1 of Article 5.35 of the Code of Administrative Offences of the Rus-sian Federation. However, administrative responsibility and measures of administrative punishment do not pre-vent serious socially dangerous consequences from driving motor vehicles by minors who do not have this right. The present study substantiates the need to estab-lish criminal liability for failure by parents to fulfill their obligations to educate and teach minors to observe traf-fic rules, which is expressed in letting minors drive mo-tor vehicles without having this right, which resulted in serious consequences due to negligence.


2017 ◽  
Vol 6 (5) ◽  
pp. 33
Author(s):  
Nasiru Inuwa ◽  
Abdullahi Mohammed Jikan-Jatum ◽  
Dr. Hassana Yahya Bello

<p>Although commercial motorcyclists are gaining acceptance by all and sundry as a means of public transport which are adapted to the contemporary Nigerian society. However, expose to all hazards including accidents are further worsened by the lack of proper knowledge on road safety measures of the commercial motorcycle riders. Therefore, this study evaluates the effects of a commercial motorcycle on health and traffic safety in Gombe metropolis, Gombe State, Nigeria. The study was carried out in Gombe Metropolis with using the random sampling technique to select 500 motorcyclists sample size. The data generated were analyzed using simple percentages. The study finds that most of the motorcycles accidents were caused by reckless riding, drug abuse and disregard to traffic rules. Similarly, the study finds that Tricycles are the most important factor causing motorcycle accidents in Gombe metropolis. Furthermore, the study finds that most of the respondents suffer from at least one health challenge as a result of their continuous use of the motorcycle. The study therefore recommends that government and other relevant agencies should be equipped with materials and human resources to embark on regular and massive breath testing of motorcyclists to detect riders who ride under the influence of drugs. This can be achieved through identifying the Drunken riders and make them face the wrath of the law.</p>


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