PATH

Safety and Capacity Analysis of Automated and Manual Highway Systems

Carbaugh, Jason
Godbole, Datta N.
Sengupta, Raja
1999

This paper compares safety of automated and manual highway systems with respect to result- ing rear-end collision frequency and severity. The results show that automated driving is safer than the most alert manual drivers, at similar speeds and capacities. We also present a detailed safety-capacity tradeo study for four di erent Automated Highway System concepts that di er in their information structure and separation policy.

Stated And Reported Route Diversion Behavior: Implications On The Benefits Of ATIS

Khattak, Asad
Kanafani, Adib
Le Colletter, Emmanuel
1994

This report presents a study in which Advanced Traveler Information Systems (ATIS) user benefits are estimated from a survey of commuting behavior undertaken in the San Francisco Bay Area in 1993. Both reported and stated response to unexpected congestion are used to determine the commuters who would directly benefit from qualitative, quantitative and predictive, as well as prescriptive ATIS information

Engaging the International Community: Research on Intelligent Transportation Systems (ITS) Applications to Improve Environmental Performance

Shladover, Steven
Barth, Matthew J
Zhang, Wei-Bin
2011

This project was proposed to build on the exposure that the authors of this report have had during the past two years to the thinking of the Japanese and European thought leaders about how Intelligent Transportation System (ITS) can contribute toward meeting environmental goals, especially for reducing CO2.

Grade Crossing/Traffic Signal Optimization Study

We, Guoyuan
Li, Irene
Zhang, Wei-Bin
Johnston, Scott
Li, Meng
Zhou, Kun
2010

The second phase of this project further investigates impacts to local traffic operations at intersections adjacent to signal preemption by SPRINTER commuter trains and comes up with countermeasures that not only minimize such impacts but also take into account the traffic signal coordination. An extended traffic signal optimization model has been developed to minimize overall traffic delays and the weighted width of “green band” along several coordinated traffic signals around the grade crossings. Based on the train’s movement detection at grade crossings and the waiting queue estimation...

Safe Operation of Automated Vehicles in Intersections

Germbek, Offer
Kurzhanskiy, Alex A.
Medury, Aditya
Varaiya, Pravin
Yu, Mengqiao
Siddiqui, Asfand
2018

This report describes the technology needed for safe and efficient operation of signalized intersections in the presence of automated vehicles (AVs).

The ISTEA/ITS Connection In California: The State Of The Relationship And Opportunities For Productive And Beneficial Linkages

Miller, Mark
Jia, Wenyu
1998

This report describes research which had three objectives: 1) investigate the current state of California's implementation of the Intermodal Surface Transportation Efficiency Act (ISTEA) with respect to Intelligent Transportation Systems (ITS), 2) assess the extent to which ITS has been integrated within the State's transportation planning process, and 3) recommend opportunities for linkages between ISTEA and ITS that have not yet been recognized. A literature search was first conduced which studied the key features of ISTEA, specific ITS-related issues, the institutional environment, and...

Transit Integrated Collision Warning System Volume II: Field Evaluation

Chan, Joanne
Dicky, Susan
Duncil, Bart
Johnston, Scott
Kretz, Paul
Lian, Thang
Lu, Xiaoyun
Marco, David
Nelson, David
Shladover, Steven
Zhang, Wei-Bin
Zhang, Yongquan
Duggins, Dave
Gowdy, Jay
Hebert, Martial
Kozar, John
MacLachlan, Rob
Metz, Christoph
Steinfeld, Aaron
Suppe, rne J
Thorpe, Chuck
Burton, Frank
DeBone, Dan
Snyder, Rick
2007

This evaluation report examines the performance of the Integrated Collision Warning System prototype developed by the University of California PATH Program and the Carnegie Mellon University Robotics Institute. The evaluation was based on testing the sensors, processing algorithms, and driver-vehicle interfaces in both controlled and real world operational environments. Evaluation metrics and methodologies were used to evaluate the effectiveness of the system. The effort for this evaluation was based on the following tasks:Task 1: Develop Evaluation ScenariosTask 2. Perform Closed Course...

Thinking Outside the Bus: Understanding User Perceptions of Waiting and Transferring in Order to Increase Transit Use

Taylor, Brian D.
Iseki, Hiroyuki
Miller, Mark A.
Smart, Michael
2009

This report presents the results of its research of interconnectivity among transportation modes in California and the development of a methodology to evaluate connectivity performance, which could provide a new and needed tool to improve passenger transit trips. The two key products of this research are the transfer penalties/travel behavior conceptual framework, which was based on our review of the state-of-the-practice for evaluating intermodal and intramodal connectivity, and a preliminary transit connectivity assessment tool. The framework allowed us to consider various attributes of...

Evaluation of the Fuel-Efficient Traffic Signal Management (FETSIM) Program: 1983-1993

Skabardonis, Alexander
1994

This report presents the findings from the evaluation of a statewide initiative to retime traffic signals to produce more energy-efficient traffic flow: California's FuelEfficient Traffic Signal Management (FETSIM) Program. During the 11 years of the Program, over 160 cities and counties have retimed a total of 12,245 signals under grants from the FETSIM Program, in 334 projects. Improved timings have reduced vehicular delays by 14 percent in project areas; stops have been decre~sed by 13 percent. Overall travel times through these systems have dropped by 7 percent and fuel consumption has...

New Data and Methods for Estimating Regional Truck Movements

Dion, Francois, PhD
Yang, Mingyuan
Patire, Anthony, PhD
2023

This report describes how current methods of estimating truck traffic volumes from existing fixed roadway sensors could be improved by using tracking data collected from commercial truck fleets and other connected technology sources (e.g., onboard GPS-enabled navigation systems and smartphones supplied by third-party vendors). Using Caltrans District 1 in Northern California as an example, the study first reviews existing fixed-location data collection capabilities and highlights gaps in the ability to monitor truck movements. It then reviews emerging data sources and analyzes the...