conference paper
Archives: Research Products
published journal article
Viewpoint: Inclusionary housing: The controversy continues
Town Planning Review
Publication Date
Author(s)
Suggested Citation
Victoria Basolo (2011) “Viewpoint: Inclusionary housing: The controversy continues”, Town Planning Review, 82(2), p. i–vi. Available at: 10.3828/tpr.2011.9.conference paper
Traffic flow with increasing density assuming a simple safe stopping distance formula.
Proceedings of the 92nd annual meeting of transportation research board, washington, DC
Publication Date
Author(s)
Suggested Citation
N. Masoud and M. Zarrillo (2013) “Traffic flow with increasing density assuming a simple safe stopping distance formula.”, in Proceedings of the 92nd annual meeting of transportation research board, washington, DC.Phd Dissertation
Logic-based modeling and solution of a linear optimal signal control problem for surface street networks
Publication Date
Associated Projects
Author(s)
Suggested Citation
IOANNIS PAVLIS (2003) Logic-based modeling and solution of a linear optimal signal control problem for surface street networks. PhD Dissertation. UC Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991014411899704701.conference paper
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
Publication Date
Author(s)
Abstract
Due to the high performance and safety requirements of self-driving applications, the complexity of modern autonomous driving systems (ADS) has been growing, instigating the need for more sophisticated hardware which could add to the energy footprint of the ADS platform. Addressing this, edge computing is poised to encompass self-driving applications, enabling the compute-intensive autonomy-related tasks to be offloaded for processing at compute-capable edge servers. Nonetheless, the intricate hardware architecture of ADS platforms, in addition to the stringent robustness demands, set forth complications for task offloading which are unique to autonomous driving. Hence, we present ROMANUS, a methodology for robust and efficient task offloading for modular ADS platforms with multi-sensor processing pipelines. Our methodology entails two phases: (i) the introduction of efficient offloading points along the execution path of the involved deep learning models, and (ii) the implementation of a runtime solution based on Deep Reinforcement Learning to adapt the operating mode according to variations in the perceived road scene complexity, network connectivity, and server load. Experiments on the object detection use case demonstrated that our approach is 14.99% more energy-efficient than pure local execution while achieving a 77.06% reduction in risky behavior from a robust-agnostic offloading baseline.
Suggested Citation
Luke Chen, Mohanad Odema and Mohammad Abdullah Al Faruque (2022) “Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems”, in Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design. New York, NY, USA: Association for Computing Machinery (ICCAD '22), pp. 1–8. Available at: 10.1145/3508352.3549356.published journal article
A model for broad choice data
Journal of Choice Modelling
Publication Date
Author(s)
Suggested Citation
David Brownstone and Phillip Li (2018) “A model for broad choice data”, Journal of Choice Modelling, 27, pp. 19–36. Available at: 10.1016/j.jocm.2017.09.001.policy brief
Non-myopic pathfinding for shared-ride vehicles: A bicriteria best-path approach considering travel time and proximity to demand
Publication Date
Associated Project
Author(s)
Areas of Expertise
Suggested Citation
Michael Hyland, Dingtong Yang and Navjyoth Sarma (2021) Non-myopic pathfinding for shared-ride vehicles: A bicriteria best-path approach considering travel time and proximity to demand. Policy Brief. ITS-Irvine. Available at: https://www.metrans.org/assets/research/psr-19-31_hyland_research-brief.pdf.working paper
A Structural Model of Temporal Change in Multimodal Travel Demand
Publication Date
Author(s)
Working Paper
Areas of Expertise
Abstract
A simultaneous equation model is developed to describe temporal trends and shifts in demand among five modes of passenger transportation in the Netherlands. The modes are car driver, car passenger, train, bicycle, and public transit (bus-tram-metro). The time period is one year (1984-1985). The data are from the week-long travel diaries at six-month intervals of a national panel of households in the Netherlands. The model explains the weekly trip rates for each mode in terms of three types of relationships: links from demand for the same mode at previous points in time (temporal stability or inertia), links to and from demand for other modes at the same point in time (complementarity and competition on a synchronous basis), and links from demand for other modes at previous points in time (substitution effects). A significant model is found with fifteen inertial links, twenty-one synchronous links, and sixteen cross-lag links among the variables. It is proposed in interpretations of the link coefficients and overall effects of one variable on another that relationships among the modes are evolving over time. In particular, the model captures the effect of a public transit fare increase that occurred during the time frame of the panel data.
Suggested Citation
Thomas F. Golob and Henk Meurs (1986) A Structural Model of Temporal Change in Multimodal Travel Demand. Working Paper UCI-ITS-WP-86-11, UCI-ITS-AS-WP-86-2. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/7nr335c6.research report
Evaluation of the Anaheim Advanced Traffic Control System Field Operational Test: Executive Summary
Publication Date
Author(s)
Final Report
Areas of Expertise
Abstract
This Executive Summary provides an overview of the technical and institutional issues associated with the evaluation of the federally-sponsored Anaheim Advanced Traffic Control System Field Operations Test. The primary FOT objective was the implementation and performance evaluation of adaptive traffic signal control technologies including an existing second generation approach, SCOOT, and a 1.5 generation control (1.5GC) approach under development. Also selected for implementation was a video traffic detection system (VTDS).The SCOOT evaluation was defined relative to existing, first generation UTCS-based control but using standard field detectorization rather than that normally associated with SCOOT. Furthermore, SCOOT was installed to operate in parallel to UTCS. The 1.5GC system was planned to be efficiently utilized to update baseline timing plans. The VTDS was planned foruse as a low cost system detector for deployment in critical areas.Both SCOOT and the VTDS were implemented with some degree of success, with technical and institutional issues limiting expected performance. Technical issues which limited SCOOT performance included less than anticipated quality of existing communication and controller systems; corresponding institutional factors included inconsistent project management due to staff changes and delays due to contractual issues. Both SCOOT and a modified version of the VTDS are in current use in selected areas, with plans for system expansion.
Suggested Citation
M. G. McNally, James E., II Moore, C. Arthur MacCarley and R. Jayakrishnan (1999) Evaluation of the Anaheim Advanced Traffic Control System Field Operational Test: Executive Summary. Final Report UCB-ITS-PRR-99-18. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/4k73778r.published journal article