Research on the Method of Dynamic Speed Limit on Expressway under Complex Climate Based on Pavement Skid-Resistant Performance

2013 ◽  
Vol 723 ◽  
pp. 189-195
Author(s):  
Yong Fang ◽  
Zhong Yin Guo
Keyword(s):  
Traffic Safety ◽  
Water Film ◽  
Calculation Model ◽  
Climatic Conditions ◽  
Driving Safety ◽  
Maximum Speed ◽  
Speed Limit ◽  
Vehicle Speed ◽  
Climate Conditions ◽  
Pavement Condition

To solve the problems in the current deterministic method of a maximum speed limit for expressway, a method of dynamic speed limit on expressway under complex climate was presented which was based on pavement skid-resistant performance. Firstly, the variation of pavement skid-resistant performance under complex climate conditions was analysed based on research results and certain experimental statistic data. By analysing the influence rule of AC-16 and SMA-16 pavement texture, pavement temperature, water film thickness, ice thickness, vehicle speed to pavement Skid-Resistant Performance, pavement actual friction coefficient calculation model and reference standard were established under different pavement condition Then, by analysing the geometry line indexes, pavement conditions and vehicle dynamics, the critical sideslip speed and critical longitudinal-driving safety speed was formulated; therefore, with critical speed as a constraint of safety driving and interval classification of complex climatic conditions, the dynamic speed calculate method and safety speed control standard were proposed under various pavements conditions, visibilities and traffic environments. This method for overcoming the weakness of a maximum speed limit of expressway operation and improving traffic safety is helpful.

scholarly journals Determination of Curve Speed Zones for Mountainous Freeways

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yongtao Liu ◽  
Jie Qiao ◽  
Yanting Hu ◽  
Tengyuan Fang ◽  
Ting Xu ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Warning Signs ◽  
Driving Safety ◽  
Warning Sign ◽  
Speed Limit ◽  
Vehicle Speed ◽  
Estimation Model ◽  
Traffic Efficiency ◽  
Safety Warning ◽  
The Difference

Different vehicular speed limits may have an impact on the balance between safety and efficiency of travel on mountainous road corners associated with complex road conditions. Placing suitable speed limit warning signs does not merely effectively improve traffic safety but can also improve traffic efficiency. In this study, a global positioning system (GPS) terminal and Metrocount were used to collect vehicle speed data from more than 40 provincial-level curves in 8 provinces over the course of 1 year. Each road data collection time-period lasted approximately 8 hours. A descriptive statistics method was adopted by means of data screening and pretreatment. Additionally, both a velocity difference estimation model was established and a linear model of velocity differential estimation was constructed. Quantitative analysis was carried out on the safe speed, the driver’s expected speed, and the location of the speed limit warning signs. This demonstrated a positive correlation with the initial speed. When the difference in speed was greater than 15 km/h, a safety warning sign was required to limit the design speed to 80 km/h. A safety warning sign was also required when the corner radius was less than 300 m. The location of safety warning signs could be calculated based on the operating speed and taking driving safety and the visual range of drivers into consideration. The results can provide a theoretical reference for setting up appropriate safe speed limiting signs on road corners in mountainous areas.

Theoretical Calculation of the Maximum Speed Limit Value on Freeway in Adverse Weather

2012 ◽  
Vol 209-211 ◽  
pp. 663-666
Author(s):  
Yu Feng Guo ◽  
Guo Zhu Cheng
Keyword(s):  
Theoretical Calculation ◽  
Traffic Safety ◽  
Road Traffic ◽  
Driving Safety ◽  
Maximum Speed ◽  
Speed Limit ◽  
Safety Level ◽  
Road Traffic Safety ◽  
Limit Value ◽  
Adverse Weather

In order to increase driving safety level on freeway, the paper analyzed the affecting mechanism of rainy day, snowy day and foggy day on road traffic safety. Considering that the sum of running distance and braking distance is less than visible distance, theoretical calculation formula of maximum speed limit value on freeway in adverse weather was presented based on the safe distance. Suggestions values of corresponding speed limit were given according to different visible distance, road fiction coefficient and grade.

Road Engineering Optimization Based on Driving Reaction

2013 ◽  
Vol 579-580 ◽  
pp. 841-844
Author(s):  
Zhao Cao ◽  
Xiao Wu ◽  
Qing Yang
Keyword(s):  
Traffic Safety ◽  
Safety Issue ◽  
Heart Beat ◽  
Driving Safety ◽  
Response Analysis ◽  
Vehicle Speed ◽  
Force Coefficient ◽  
Slope Length ◽  
Road Engineering ◽  
Positive Correlation

With the increasingly outstanding of the traffic safety issue, the human factors in People-Vehicle-Road System are being emphasized gradually. Takes Jinhua suburb asphalt mountain road (two-lane, multiple steep slopes) for example, this study focuses on road engineering response analysis on driving reaction, design optimization of road engineering base on driving response. A driver over 3 driving years steered 5-seat car in 4 kilometers long experimental road, kept the vehicle speed (V) under 40km/h. Heartbeat rate of the driver was monitored by dynamic Holter through driving process. The analysis shows that there is a linear positive correlation between Heart beat growth rate (Ni) and V, a nearly positive correlation between lateral force coefficient (μ) and Ni, and nearly inversely proportional between plane curve radius (R) and slope (i). It should decrease R appropriately when road slope (i) much sharply in road alignment design. There is a polynomial relation between Ni, V and R. As R increases, both Ni and V reduce firstly, and then rise. When R ranges from 240 to 500 meter, stress gradually ease; while R exceeds 500 meter, driving reaction tension gradually rise. R<550 m, i <6% and slope length under 300 m in the experimental road. When instructional speed <40km/h, then Ni was 30.2% and μ was 0.25. Its benefit for driving safety to keep drivers in appropriate tension in such situation.

scholarly journals DETERMINING THE MAXIMUM SPEED LIMIT IN URBAN ROAD TO INCREASE TRAFFIC SAFETY

2018 ◽  
Vol 80 (5) ◽  
Author(s):  
Gito Sugiyanto ◽  
Siti Malkhamah
Keyword(s):  
Traffic Safety ◽  
School Safety ◽  
Maximum Speed ◽  
Speed Limit ◽  
Light Truck ◽  
Urban Road ◽  
Road Traffic Safety ◽  
Road Type ◽  
Wheeled Vehicles

Speed is one of the main risk factors in road traffic safety and become a traffic problem in developing countries. Three factors that cause accidents are human factor, vehicle, and environment. Speeding is one of the main cause factors in traffic accident. Traffic speed must be limited adjust with the activities in the street and potential accident. The aim of this research is to determine the maximum speed limit in urban road to increase traffic safety and to analyze the percentage of vehicle exceeding speed limit. The method to determine maximum speed limits using 85th percentile. Based on the analysis result, the proposed maximum speed limit on urban road for arterial road type 4/2-UD residential and 4/2-UD CBD is 60 km/h for motorcycle and passenger car, 55 km/h for pick up and light truck, and 50 km/h for bus and truck. Proposed maximum speed limit for collector road type 2/1-UD office area is 45 km/h for motorcycle and 40 km/h for four-wheeled vehicles or more while for collector road type 2/1-UD CBD is 40 km/h for motorcycle and 35 km/h for four-wheeled vehicles or more. The installation of speed limit sign is less effective to reduce the vehicle speed, the speed only reduce 2.9-55 km/h (5.6-10.1%). More than 46.5% of motorcycle users ride exceeding speed limit followed by the passenger cars users (39.43%), microbus/city bus at 31.63%, bus Trans at 28.75%, pick up and light truck at 24.69%. The maximum speed limit in school safety zone on hours/after school is 30 km/h with the consideration that the pedestrian fatality rate on 30 km/h has probability of death 10%.

scholarly journals MODELING THE PROBABILITY OF SPEEDING BEHAVIOUR AND ACCIDENT INVOLVEMENT USING BINARY LOGISTIC REGRESSION IN EAST JAVA PROVINCE

2020 ◽  
Vol 2 (3) ◽  
pp. 149
Author(s):  
Willy Kriswardhana ◽  
Sonya Sulistyono ◽  
Iin Ervina ◽  
Dadang Supriyanto ◽  
Nunung Nuring Hayati ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Traffic Safety ◽  
High Speed ◽  
Probability Model ◽  
Binary Logistic Regression ◽  
Driving Behavior ◽  
Maximum Speed ◽  
Speed Limit ◽  
Negative Consequences ◽  
Driving Experience

Driving at high speed has negative consequences, namely, the high number of accidents. Several factors have been considered as causes of the increasing severity of victims of traffic accidents, such as a human, vehicle, and environmental factors. The risky driving behavior factor is a factor that needs to be considered in traffic safety studies. This study aims to determine the probability model of speeding behavior based on several driver characteristics and their relationship to accident involvement. This study used a binary logistic regression method to determine the probability of driving behavior exceeding the speed limit and accident involvement. The results showed that the younger a person is, the higher the probability of breaking the maximum speed limit. Furthermore, driving experience also shows a similar trend, where the longer the driving experience of someone, the less likely it is to be involved in an accident. Directions for further research are also presented. Berkendara dengan kecepatan tinggi mempunyai konsekuensi negatif, yaitu tingginya angka kecelakaan. Beberapa faktor telah dipertimbangkan sebagai penyebab dari peningkatan tingkat keparahan korban kecelakaan lalulintas. Faktor tersebut seperti faktor manusia, kendaraan, dan lingkungan. Faktor perilaku berkendara yang berbahaya, menjadi faktor yang perlu diperhatikan dalam kajian keselamatan lalulintas. Penelitian ini bertujuan untuk mengetahui model probabilitas pada perilaku speeding berdasarkan beberapa karakteristik pengendara, serta hubungannya dengan keterlibatan kecelakaan. Penelitian ini menggunakan metode regresi logistik biner untuk mengetahui probabilitas perilaku berkendara melebihi batas kecepatan dan keterlibatan kecelakaan. Hasil penelitian menunjukkan bahwa semakin muda usia seseorang, maka semakin tinggi probabilitasnya dalam melanggar batas kecepatan maksimum. Lebih lanjut diperlihatkan bahwa pengalaman mengemudi juga menunjukkan tren yang serupa. Pengalaman mengemudi seseroang, yang lebih lama akan memperkecil kemungkinan dalam keterlibatan kecelakaan. Arahan untuk penelitian selanjutnya juga ditampilkan.

scholarly journals A REVIEW OF VEHICLES SPEED ON SCHOOL SAFETY ZONE AREAS IN PEKANBARU CITY

2017 ◽  
Author(s):  
Lusi Dwi Putri ◽  
Fitridawati Soehardi ◽  
Alfian Saleh
Keyword(s):  
School Environment ◽  
School Safety ◽  
Good Condition ◽  
Primary Data ◽  
Maximum Speed ◽  
Speed Limit ◽  
Vehicle Speed ◽  
Safety Zone ◽  
School Students ◽  
Pass Through

Status : PreprintSchool Safety Zone is a location or region on particular roads that are time-based speed zone to set the speed ofthe vehicle in the school environment. The maximum speed limit permits entering a School Safety Zone, especially in Pekanbaru City is 25 km / h and an outline of the speed limit permit vehicles that pass through the School Safety Zone in Indonesia is generally 20-30 km / h. However, the vehicles speeds that pass School Safety Zone are higher than permit speeds.To ensure the level of vehicle offense across the territory of the School Safety Zone so it is necessary a primary data which is taken randomly based on field survey for 3 days at schools that has that facility SDN 3 Jalan Kesehatan Pekanbaru City, SDN 68 Jalan Balam Ujung Kota Pekanbaru and SDN 143 Jalan Taskurun Kota Pekanbaru. Furthermore, the data were taken in good condition that is at 6:30 to 7:30 am and at 12:00 to 13:00 pm. In addition, the data obtained ismileage and travel time of the vehicle. Both of these data can generate good speed value that passes through the area of School Safety Zone. Based on the research findings, the vehicle speed passing through the area of School Safety Zone is incompatible with speed permit at 35 km / h. This indicates that the vehicle passes School Safety Zone not following the rules of the maximum limit area and can be potentially harmful to elementary school students.

The Prediction of Vehicle Collision Risk in Traffic Conflict Zone Based on Bayesian Network

2015 ◽  
Vol 744-746 ◽  
pp. 1953-1959 ◽  
Author(s):  
Li Xin Yan ◽  
Song Gao ◽  
Hao Cai ◽  
Hui Wan
Keyword(s):  
Bayesian Network ◽  
Traffic Safety ◽  
Driving Safety ◽  
Posteriori Probability ◽  
Vehicle Speed ◽  
Collision Risk ◽  
Traffic Environment ◽  
Traffic Conflict ◽  
Probability Table ◽  
Probability Of Collision

The external traffic environment has a big influence to the traffic safety during the area of traffic conflict place，and to analysis the relationship between the external traffic environment factors and driving safety is helpful to improve the traffic safety. The method of comprehensive analysis the historical data and expert survey data is used to explore this question. And at the same time, the collision risk prediction model during the traffic conflict place is built by the Bayesian network. According to the data analyzing, the node variable, the state of variable and the conditional probability table of this model is also built. Finally, the software of Hugin is used to deal with the posteriori probability of collision risk, and the result proved that this model can predict the collision risk accurately during the traffic conflict area, and the data analyzing showed that the factor of the driver's intention, the vehicle speed and the headway have a significance influence to the traffic safety.

Analysis of Rural Interstate Fatality Rates in Consideration of Recent Increases in Maximum Statutory Speed Limits

2019 ◽  
Vol 2673 (11) ◽  
pp. 48-58
Author(s):  
Jacob Warner ◽  
Hitesh Chawla ◽  
Chao Zhou ◽  
Peter T. Savolainen
Keyword(s):  
Traffic Safety ◽  
Negative Binomial ◽  
Unobserved Heterogeneity ◽  
State Level ◽  
Random Parameter ◽  
Maximum Speed ◽  
Speed Limit ◽  
Speed Limits ◽  
Fatal Crashes ◽  
Significant Research

The relationship between traffic safety and speed limits has been an area of significant research. Since the repeal of the National Maximum Speed Law in 1995, states have full autonomy in establishing maximum statutory speed limits. Since 2001, at least 25 states have increased their maximum limits to speeds as high as 85 mph. This study examines changes in rural interstate fatalities from 2001 to 2016 in consideration of such increases. Speed limit policy data include the maximum speed limit for each state–year combination, as well as the proportion of rural interstate mileage posted at each speed limit in each state. Random parameter negative binomial models are estimated to control for unobserved heterogeneity, as well as time-invariant effects unique to each state. The results show that increasing the mileage of rural interstates posted at 70, 75, or 80 mph by 1% is associated with fatality increases of 0.2%, 0.5%, and 0.6%, respectively. These increases are more pronounced than when considering only the maximum statutory limits in each state. The study also examines the influence between these higher limits and the frequency of fatal crashes involving speeding and driver distraction. At the highest limits of 75 and 80 mph, the increases among these subsets of crashes are greater than the increases in total fatalities. Ultimately, this study provides important empirical evidence in support of continuing speed limit policy discussions, in addition to identifying salient analytical concerns that should be considered as a part of longitudinal analyses of state-level fatality data.

scholarly journals Estimation of Optimal Speed Limits for Urban Roads Using Traffic Information Big Data

2021 ◽  
Vol 11 (12) ◽  
pp. 5710
Author(s):  
Hyungkyu Kim ◽  
Doyoung Jung
Keyword(s):  
Traffic Safety ◽  
Safety Information ◽  
Traffic Information ◽  
Maximum Speed ◽  
Speed Limit ◽  
Speed Limits ◽  
The Road ◽  
Optimal Speed ◽  
Road Users ◽  
Adjustment Factors

The use of an inconsistent speed limit determination method can cause low speed limit compliance. Therefore, we developed an objective methodology based on engineering judgment considering the traffic accident rate in road sections, the degree of roadside development, and the geometric characteristics of road sections in urban roads. The scope of this study is one-way roads with two or more lanes in cities, and appropriate sections were selected among all roads in Seoul. These roads have speed limits of the statutory maximum speed of 80 km/h or lower and are characterized by various speeds according to the function of the road, the roadside development, and traffic conditions. The optimal speed limits of urban roads were estimated by applying the characteristics of variables as adjustment factors based on the statutory maximum speed limit. As a result of investigating and testing various influence variables, the function of roads, the existence of median, the level of curbside parking, the number of roadside access points, and the number of traffic breaks were selected as optional variables that influence the operating speed. The speed limit of one-way roads with two or more lanes in Seoul was approximately 10 km/h lower than the current speed limit. The existing speed limits of the roads were applied uniformly considering only the functional road class. However, considering the road environment, the speed limit should be applied differently for each road. In the future, if the collection scope and real-time collection of road environment information can be determined, the GIS visualization of traffic safety information will be possible for all road sections and the safety of road users can be ensured.

scholarly journals Relationship between heavy vehicle speed limit and fleet fuel consumption on minor roads

2015 ◽  
Vol 230 (9) ◽  
pp. 1461-1478
Author(s):  
G Wilson ◽  
G Morrison ◽  
W Midgley ◽  
D Cebon
Keyword(s):  
Fuel Consumption ◽  
Traffic Safety ◽  
Traffic Congestion ◽  
Driver Model ◽  
Speed Limit ◽  
Vehicle Speed ◽  
Selection Scheme ◽  
Vehicle Trajectories ◽  
Model Fuel ◽  
Heavy Goods Vehicles

This paper investigates the traffic-related effects of a proposal to increase the speed limit from 40 mile/h to 50 mile/h, for heavy goods vehicles greater than 7.5 tonnes, on single carriageway roads. A ‘microscopic’ single carriageway traffic simulation is developed by combining the ‘enhanced intelligent driver model’ with a single carriageway gap-acceptance passing model. Fuel consumption estimates are made using engine characteristic maps and a ‘fuel optimal’ gear selection scheme, where vehicle trajectories from the traffic simulations are taken as input drive-cycles. Traffic congestion and fleet fuel consumption are specifically addressed, though implications regarding passing behaviour and traffic safety are also noted. Results indicate that the proposed 50 mile/h heavy goods vehicles speed limit would reduce traffic congestion by over 37% and increase fleet fuel consumption by approximately 0.5 L/100 km.

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