DOI: 10.25338/b8234n
title: Analysis of intelligent vehicle technologies to improve vulnerable road users safety at signalized intersections

description: 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.
description: The Safe Transportation Research and Education Center (SafeTREC) at the University of California, Berkeley, develops the Transportation Injury Mapping System (TIMS) to provide a quick, easy and free access to California crash data provided by the Statewide Integrated Traffic Records System (SWITRS). We collect five-year-long crash data, which are from 01/01/2014 to 12/31/2018. The crash data includes bicyclist and pedestrian collisions with vehicles resulting in injuries across four types of crash severity: fatal, severe injury, visible injury, and complaint of injury. The data consists of three tables including the collision dataset, the involved parties dataset, and the victims dataset. In particular, we use the collision and parties datasets that contain enough information for modeling. The rows in the crash data are built based on each case of a crash and includes information such as weather, road surface, road condition, control device, and lighting. The parties dataset includes information specific to each vehicle or VRU such as age and sex. In order to perform a party-by-party analysis, we attach the datasets of each crash to every pair of VRU and vehicle that involved in a specific collision.
description: The data files can be viewed by Excel.