scholarly journals Mitigation Of Black-Spot’s on Highways by The Application of Safe System Approach

2021 ◽  
pp. 583-591
Author(s):  
Dinesh K Yadav ◽  
Sujesh D. Ghodmare ◽  
N. Naveen Kumar
Keyword(s):  
Traffic Safety ◽  
Negative Impact ◽  
Black Spot ◽  
Severity Index ◽  
Traffic Volume ◽  
Short Term ◽  
The Road ◽  
Course Of Action ◽  
Accident Data ◽  
Safety Parameters

With increase in traffic volume across the globe traffic safety has come into highlight and become a major concern. Apparently, with due increase in traffic volume resulting in higher road accidents which considerably causes negative impact on economic growth, public health and general welfare of wellbeing. In the present scenario challenges are faced to mitigate the traffic volume and by making road users aware with road safety parameters which may results in less road fatalities. The root cause of an accidents intends to perception, intellection emotion and violation. The approach towards this research is to get minimal setback/casualties of the road. In order to gain the best possible course of action, the stretch of 8 KM of National highway (NH-66) situated in a plain terrain in the district of Alapphuza, Kerala India. To begin with, accident data has been collected from NHAI office and Police station of above location with proper analysis by Accident Severity Index (ASI) method has been carried out. Adding to an idea, location of Black Spot has been identified by ASI method. Based on Severity of accident short term and long-term measures has been adopted. Eventually, after analyzing short term measures 10 black spot location along with the estimate has been worked out.

scholarly journals ASI Based Identification and Prioritization of Accident Black Spot

2021 ◽  
Vol 9 (9) ◽  
pp. 1728-1734
Author(s):  
K. N. Thakare
Keyword(s):  
Black Spot ◽  
Severity Index ◽  
Motor Vehicles ◽  
Economic Losses ◽  
The Road ◽  
Black Spots ◽  
Accident Severity ◽  
Severity Index Score ◽  
Accident Data ◽  
Crucial Part

Abstract: The number of motor vehicles on road increased spectacularly which causing major social and transportation problems such as death and economic losses. Eradication of accident blackspots is a crucial part of the road safety approach. So, this issue informed the quest to study and identify the accidental black spot in the context of NH 6. The stretch of 35 km on NH 6 near Pune was considered to identify the black spot. Accident blackspot locations were distinguished through the accident severity index (ASI) method by employing two years of accident data. These identified black spots were prioritized based on their final severity index score. The two most vulnerable black spots out of nine were selected for further analysis and countermeasure process. Conclusively, the accident severity-based framework can effectively correlate the nature of the accident with the type of casualty to provide detailed and accurate black spot location. Keywords: Black Spots, Accident Severity Index (ASI), Black Spot Prioritization, Traffic Volume, Highway, Countermeasures.

scholarly journals INVESTIGATION INTO TRAFFIC FLOWS ON HIGH INTENSITY STREETS OF VILNIUS CITY

Transport ◽  
2010 ◽  
Vol 25 (3) ◽  
pp. 244-251 ◽  
Author(s):  
Laura Žiliūtė ◽  
Alfredas Laurinavičius ◽  
Audrius Vaitkus
Keyword(s):  
Traffic Safety ◽  
Traffic Volume ◽  
Capital City ◽  
State Enterprise ◽  
Traffic Intensity ◽  
Road Maintenance ◽  
Traffic Flows ◽  
The Road ◽  
Maintenance Program ◽  
Road Research Laboratory

The measurements and analysis of traffic intensity were performed in the capital city – Vilnius, the largest urban area in Lithuania. Vilnius is a centre of business, industry and tourism, and therefore traffic intensity remains the highest in this part of the country. The intensity of vehicle traffic is not only generally calculated but also simultaneously classified which means is divided predefining vehicles into beforehand established categories. Data on traffic flows are used in a road maintenance program for calculating and assessing air pollution, ensuring traffic safety, regulating traffic flows etc. The article presents the methods for measuring traffic intensity which are and were used for calculating traffic intensity not only in the streets of Vilnius but also across Lithuania. Data on vehicle intensity and classification are collected either using technologies (loop and tube detectors, counters and video detectors) or expressing them visually. The article presents the dynamics of changes in the traffic volume on the roads of Lithuania for the period 2000–2009. Also, this article examines traffic intensity of all transport means, including trucks in the permanent traffic volume measuring stations that were installed near the roads in Vilnius zone (data on traffic for the period 2005–2009) and the streets of Vilnius city (data on traffic for the period 2007–2009). Data on traffic intensity were obtained by the Road Research Laboratory of the Road Department of Vilnius Gediminas Technical University in cooperation with the State Enterprise Transport and Road Research Institute (TRRI).

Evaluation of a Low-Cost Program of Road System Traffic Safety Reviews for County Highways

2003 ◽  
Vol 1819 (1) ◽  
pp. 231-236 ◽  
Author(s):  
Stephen H. Ford ◽  
Eugene C. Calvert
Keyword(s):  
Traffic Safety ◽  
Low Cost ◽  
Department Of Transportation ◽  
Rural County ◽  
California Department ◽  
Total Cost ◽  
The Road ◽  
Mendocino County ◽  
Accident Data ◽  
Road System

Mendocino County is a large rural county in northern California with more than 1,000 centerline miles of county-maintained roads. The terrain is mountainous, with a few small inland valleys. During the 1990s, the Mendocino County Department of Transportation developed a program of road system traffic safety reviews to improve signing and markings on the arterials and collectors in the system. The effectiveness of the program was measured by comparing accident data for the reviewed roads with data for roads not included in, or influenced by, the reviews. To control for different groups of factors, two sets of control roads were selected—county-maintained roads not reviewed and state highways within the county. Over two consecutive 3-year review cycles, the number of accidents on the reviewed roads fell by 42.1%, while on the county-maintained roads not reviewed they increased by 26.5%, and on the state highways they fell by 3.3%. The total cost to conduct the reviews and implement the recommended changes was $ 79,300. The accident histories of the control roads were used to define the limits of the range of probable benefits. On the basis of average accident costs provided by the California Department of Transportation, calculated savings ranged from $ 12.58 million to $23.73 million, yielding a costs-to-benefits ratio between 1:159 and 1:299. The county is expanding the road system traffic safety review program to cover its entire maintained road system.

scholarly journals Urban Arterial Road Optimization and Design Combined with HOV Carpooling under Connected Vehicle Environment

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Lina Mao ◽  
Wenquan Li ◽  
Pengsen Hu ◽  
Guiliang Zhou ◽  
Huiting Zhang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Negative Impact ◽  
Traffic Volume ◽  
Road Segment ◽  
Connected Vehicle ◽  
Traffic Data ◽  
Average Speed ◽  
The Road ◽  
Arterial Road ◽  
Urban Arterial

The HOV carpooling lane offers a feasible approach to alleviate traffic congestion. The connected vehicle environment is able to provide accurate traffic data, which could optimize the design of HOV carpooling schemes. In this paper, significant tidal traffic flow phenomenon with severe traffic congestion was identified on North Beijing road (bidirectional four-lane) and South Huaihai road (bidirectional six-lane) in Huai’an, Jiangsu Province. The historical traffic data of the road segments were collected through the connected vehicle environment facilities. The purpose of this study is to investigate the effect of adopting two HOV schemes (regular HOV scheme and reversible HOV carpooling scheme) on the urban arterial road under connected vehicle environment. VISSIM was used to simulate the proposed two HOV carpooling schemes at the mentioned road segment. The simulation results showed that the reversible HOV carpooling scheme could not only mitigate the traffic congestion caused by traffic tidal phenomenon but also improve the average speed and traffic volume of the urban arterial road segment, while the regular HOV scheme may exert a negative impact on the average speed and traffic volume on the urban arterial road segment.

scholarly journals Fuzzy modeling of the road traffic hazard level

2021 ◽  
Vol 341 ◽  
pp. 00023
Author(s):  
Elena Pechatnova ◽  
Vasily Kuznetsov ◽  
Kirill Safronov
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Safety Management ◽  
Road Traffic ◽  
Fuzzy Modeling ◽  
Rule Base ◽  
Short Term ◽  
The Road ◽  
Target Values ◽  
Hazard Level

The article is devoted to the author's concept development of the short-term road safety management on the federal roads in Russia. The results of development the rule for calculating hazard level depending on the road accidents risk are presented. The mathematical basis of the research is fuzzy modeling. The main stages of modeling are performed using the FisPro software. The concept of acceptable risk has been implemented based on the target values of state programs to improve traffic safety. The developed rule base is the basis for determining the hazard level, which can be the basis for calculating the main parameter of short-term road safety management – the hazard level.

scholarly journals Practical Road-Resistance Functions for Expressway Work Zones in Occupied Lane Conditions

2019 ◽  
Vol 11 (2) ◽  
pp. 382
Author(s):  
Chi Zhang ◽  
Jihan Qin ◽  
Min Zhang ◽  
Hong Zhang ◽  
Yudi Hou
Keyword(s):  
Traffic Safety ◽  
Goodness Of Fit ◽  
Traffic Volume ◽  
Work Zone ◽  
Traffic Load ◽  
Work Zones ◽  
Goodness Of Fit Test ◽  
The Road ◽  
Resistance Function ◽  
Critical Traffic

In order to create a practical road-resistance function for work zones under different lane occupation conditions, the expected speed of vehicles was calibrated in the work zone simulation model based on measured data, and simulation models were constructed for the closed half lane and the closed inside lane under different rates of trucks. Based on the statistical theory, the influence of significance of traffic volume and truck ratios for road resistance was analyzed, and a suitable truck ratio was found for the work zone. By using the optimal nonlinear fitting theory, the practical road-resistance function for work zones under different lane occupation conditions was constructed. The results showed that the road resistance is significantly affected by the traffic volume and rate of trucks. Under the same truck ratio, the road resistance linearly increases slowly when the traffic volume is less than the critical traffic volume and rapid increases irregularly when it is greater than the critical traffic volume. Under the same traffic load, the road resistance of the work zone increases with the increase in the rate of trucks, and the difference is not obvious when the traffic volume is less than the critical traffic volume, and increases gradually when it is greater than the critical traffic volume. Through the goodness of fit test and the homogeneity of variance test, the road-resistance function constructed in this paper has high goodness of fit. The practical road-resistance functions constructed in this study could be used to guide the diversion of the rebuilt/expanded highway to ensure traffic safety. Further, the study provides a theoretical basis for the construction of intelligent highway work zones.

scholarly journals Analysis of Incentives to Eco-Driving for Car Rental Companies’ Customers

2020 ◽  
Vol 12 (24) ◽  
pp. 10579
Author(s):  
Michał Adamczak ◽  
Adrianna Toboła ◽  
Jadwiga Fijałkowska ◽  
Piotr Cyplik ◽  
Maciej Tórz
Keyword(s):  
Road Traffic ◽  
Negative Impact ◽  
Survey Method ◽  
Short Term ◽  
The Road ◽  
Car Rental ◽  
Car Wash ◽  
Research Gap ◽  
On The Road ◽  
The Impact

The problem of road traffic is one of the key challenges that cities will have to deal with in the future. It is also a problem directly related to the concept of sustainable development. Reducing the negative impact of road traffic in future cities can be achieved through cooperation in the following areas: social—shaping customer behavior and habits, economic—changing attitudes towards owning a car, and environmental—aimed at reducing the vehicle’s impact on the natural environment. A literature review was used to identify the research gap concerning the impact of the incentive system on increasing the environmental performance of drivers under short-term rental. Referring to the research gap, the main goal of the article is to identify the attractiveness of eco-driving incentives for drivers under short-term rental. The study used the survey method. The study was based on 323 completed questionnaires (female—122 and male—201). The following methods were also used in the analysis of the results: Anderson–Darling, Mood’s Median test and Kruskal Wallis multiple pairwise comparisons. The evaluation of the attractiveness of the incentive to eco-driving depends on the characteristic of the client who rents the car. Thus, it is possible to shape incentive systems for car rental customers that can shape their positive behavior on the road. Among the most attractive incentives for eco-driving in a rented car are: the possibility of upgrading a car in the next rental, discount for future rental and free car-wash.

scholarly journals Implementation of modern tools for the improvement of the road infrastructure on the Trans-European road network – road safety inspection (RSI)

2019 ◽  
Vol 65 (2) ◽  
pp. 49-53
Author(s):  
Miladin Nešić ◽  
Dušan Mladenović ◽  
Mirjana Ilić ◽  
Ivana Andrijanić ◽  
Mirko Koković ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Road Network ◽  
Black Spot ◽  
Pilot Project ◽  
Road Accident ◽  
Road Infrastructure ◽  
The Road ◽  
The Law ◽  
On The Road

The European Directive on the Road Infrastructure Safety Improvement (2008/96/EC) has established the implementation of appropriate procedures as the basic tools for improving the road infrastructure on the trans-European road network. The Law on Roads (2018) prescribes the implementation of the following procedures: Road safety impact assessment; Road safety audit; Road safety inspection; Risk mapping; Black spot identification; and In depth road accident studies. The Law on Roads also prescribes that the Minister will prescribe the manner of implementation and the contents of the Evaluation, Audit and Independent Assessment reports, as well as the manner of determining the major risk portions and the identification and ranking of hazardous sites (black spots). Since the method of implementation and the content of the report are not yet prescribed, the authors contributed in this paper to defining the manner of implementation and content of the traffic safety report on the example of the section of the highway, as the highest category of state road. In the framework of the training of auditors and auditors, among others, a pilot project was carried out for the safety of traffic on the part of the E-75 (A1) highway, about 2,7 km ahead of the Mali Požarevac loop, including the loop. The verified part of the highway also includes a ramp with a toll ramp, service facility, overpass, bridge, etc., so the selected checked part is representative for defining a recommendation for the mode of implementation and the model for the preparation of the report.

scholarly journals Prioritization of Black Spots in Hilly Road Segment using Road Engineering Data

2020 ◽  
Vol 9 (3) ◽  
pp. 4418-4422
Keyword(s):  
Black Spot ◽  
Road Transport ◽  
Road Accident ◽  
Industrialized Countries ◽  
Road Accidents ◽  
Road Engineering ◽  
The Road ◽  
Black Spots ◽  
Accident Data ◽  
On The Road

Road accidents are one of the causes of disability, injury and death. As per the latest road accident data released by the Ministry of Road Transport & Highways (MoRTH), the total number of accidents increased by 2.5 percent from 4,89,400 in 2014 to 5,01,423 in 2015. The analysis reveals that about 1,374 accidents and 400 deaths take place every day. Every single year, it has been estimated that over three lakh persons die and 10-15 million persons are injured in road accidents throughout the world. According to the analyses, statistics of global accident indicate that in developing countries, the rate of fatality per licensed vehicle is very high as compared to that of industrialized countries. A road stretch of about 500 metres in length in which either ten fatalities or five road accidents (involving grievous injuries/fatalities) took place during last three calendar years, on National Highways is considered as a road accident black spot according to MoRTH, Government of India. In the present study the identified black spots of Haridwar and Dehradun city were included comprising of a total of 81 black spots out of which there were 49 black spots which were identified in Dehradun followed by 32 black spots in Haridwar. The present study was an attempt to carry out the prioritization of these identified blackspots with respect to the factors that were considered to evaluate accident prone locations on the road. The identified black spots were then prioritized using the classification scheme (ranking from low to high).The study reveals that the advantage of using this approach for prioritizing accident black spots on roads is that it requires very less additional data other than the road network maps.

scholarly journals Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway

2019 ◽  
Vol 11 (21) ◽  
pp. 5976
Author(s):  
Danish Farooq ◽  
Janos Juhasz
Keyword(s):  
Regression Model ◽  
Traffic Safety ◽  
Traffic Volume ◽  
Lane Change ◽  
Lane Changing ◽  
Safety Issues ◽  
The Road ◽  
Speed Distribution ◽  
On The Road ◽  
High Traffic Volume

Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high average desired speed and large desired speed distribution coupled with high traffic volume increased the lane change frequency tremendously. The study also attempted to develop a regression model to quantify the effect of the observed parameters on lane change frequency. The regression model results showed that desired speed distribution had the highest effect on lane change frequency compared to other traffic parameters. The findings of the current study highlight the most significant traffic parameters that influence the lane change frequency.

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