Analysis of intelligent vehicle technologies to improve vulnerable road users safety at signalized intersections

The project needs data for macroscopic statistical modeling, which are OTS
rankings and historical crash data.  OTS crash ranking data
California Office of Traffic Safety (OTS) provides a crash ranking dataset
that was developed so that individual cities could compare their city’s
traffic safety statistics to those of other cities with similar-sized
populations. The OTS crash rankings are based on the Empirical Bayesian
Ranking Method. It adds weights to different crash statistical categories
including observed crash counts, population and daily vehicle miles
traveled (DVMT). In addition, the OTS crash rankings include different
types of crashes with larger percentages of total victims and areas of
focus for the OTS grant program. In conjunction with the research context,
two types of crash rankings are focused on, namely pedestrians and
bicyclists. SWITRS crash data The Transportation Injury Mapping System
(TIMS) to provide the project quick, easy, and free access to California
crash data provided by the Statewide Integrated Traffic Records System
(SWITRS). The crash data includes bicycle and pedestrian collisions with
vehicles resulting in injuries from 2014 to 2018. Besides, this crash
database provides detailed accident reports including information on
casualties, vehicle mode, accident reason, accident location, and road
condition. With this information on crashes, we will select crashes
between vehicles and VRUs at signalized intersections, which is the scope
of this study. To avoid misunderstanding, the crashes in the following
content will only refer to accidents between vehicles and VRUs. Besides,
we will also collect historical weather data (including daily temperature,
wind speed, rainfall, humidity, and visibility) and road condition data.
All these data will be used for the next crash feature analysis. The data
is publicly available and no commitment is required from SafeTREC. SUMO
Source Code (Modified) This repository also includes the modified SUMO
source code for traffic simulation. The modification is done in two
aspects. First, a series of parameters of junction-control models are
added to the set of vehicle type parameters, such that the simulation
scenarios for different IVTs are defined by changing the values of vehicle
type parameters. Second, a filtering logic is inserted into vehicles’
interaction processes. It determines whether a potential foe object is in
the blind spot areas; whether the subject vehicle’s driver is distracted
in this time step; and whether the equipped IVT can compensate for the
visual limitations. The section below lists all the added parameters and
functions.