A Driver Behavior-Based Lane-Changing Model for Urban Arterial Streets

In mixed traffic situations, there is weak or no lane behavior of the driver much more complicated where vehicle and driver behavior show a huge difference between them. Road traffic driving behavior on urban midblock sections is one of the most complex phenomena to be examined particularly in heterogeneous traffic conditions. This is often attributed to the capacity of the road section and the traffic flow features at the macroscopic and microscopic level of a road section. Very few researchers have attempted to investigate these features in heterogeneous environments because of the lack of adequate information gathering methods and the amount of complexity involved. In this background, an access controlled mid block road section was selected for video data collection. The main objectives of this study include developing vehicular trajectory data and analyzing the lane changing and vehicle following behavior of driver on the mid block section considering the relative velocities and relative spacing between various types of vehicles under heterogeneous traffic conditions. The videos were collected from urban roadway in the Kurnool district of Andhra Pradesh. The length of the stretch is 120m and the width is 7.0 m. The data was extracted to know the variations in terms of longitudinal and lateral speeds, velocities, vehicle following and lane changing behavior of the drivers. The data extracted was smoothened by moving average method to minimize the human errors. Lateral amplitude of the vehicles of various types was analyzed. The study revealed that vehicles in the mixed stream, in general and in particular, Bikes and Autos particularly move substantially in the lateral direction.

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Information Categorization Based on Driver Behavior for Urban Lane-Changing Maneuvers

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2249-11 ◽

2011 ◽

Vol 2249 (1) ◽

pp. 86-94 ◽

Cited By ~ 5

Author(s):

Daniel (Jian) Sun ◽

Lily Elefteriadou

Keyword(s):

Driver Behavior ◽

Lane Changing

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Apply Scikit-Learn in Python to Analyze Driver Behavior Based on OBD Data

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) ◽

10.1109/waina.2018.00159 ◽

2018 ◽

Cited By ~ 1

Author(s):

Chi-pan Hwang ◽

Mu-Song Chen ◽

Chih-Min Shih ◽

Hsing-Yu Chen ◽

Wen Kai Liu

Keyword(s):

Driver Behavior ◽

Behavior Based

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Safety Impacts of Converting Two-Way Left-Turn Lanes to Raised Medians and Associated Design Concerns

Journal of the Transportation Research Forum ◽

10.5399/osu/jtrf.55.2.4361 ◽

2016 ◽

Author(s):

Priyanka Alluri ◽

Albert Gan ◽

Kirolos Haleem

Keyword(s):

Data Availability ◽

Left Turn ◽

Arterial Streets ◽

Crash Data ◽

Potential Safety ◽

Before And After ◽

Show Evidence ◽

Crash Types ◽

Associated Design ◽

Urban Arterial

Raised medians and two-way left-turn lanes (TWLTLs) are the two most common types of median treatments on arterial streets. This paper aims to conduct a detailed study on the safety impacts of conversion from TWLTLs to raised medians on state roads in Florida. In addition, the study also investigated several potential safety concerns related to raised medians on state roads, including crashes at median openings, vehicles directly hitting the median curb, and median crossover crashes. Based on data availability, 17.51 miles of urban arterial sections in Florida that were converted from TWLTLs to raised medians were analyzed. Police reports of all the crashes before and after median conversion were reviewed to correct miscoded crash types and obtain additional detailed crash information. Overall, a 28.5% reduction in total crash rate was observed after the 10 study locations were converted from TWLTLs to raised medians. The reductions in the proportions of left-turn and right-turn crashes were statistically significant, while the changes in the proportions of other crash types were not statistically significant. Furthermore, the crash data did not show evidence that raised medians are an additional hazard compared with TWLTLs.

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