Speaker numbers apply only to this recording. Names come from transcript evidence. “Possibly” marks uncertain attribution.
Note: The transcript of the meeting states the meeting was called to order as “October 20th, 2026,” but the session metadata specifies the meeting took place on 2026-10-23. This summary uses the date provided in the metadata per the summarization instructions.
The Kirkland City Council convened on October 23, 2026, for three study sessions followed by a regular meeting. Study sessions covered intelligent transportation systems (ITS) and artificial intelligence, the Green Loop implementation plan, and middle housing focused optimization. The regular meeting included public comment, adoption of utility rates for 2027–2028, review of the draft 2027 state legislative agenda, and action on four legislative request memos (LRMs) concerning micromobility, bicycle helmets, and two Homes Point Overlay (HPO) items.
Seven members of the public addressed the council:
All right, I'd like to call to order the city council meeting of October 20th, 2026. Before asking Clerk to call the roll for tonight's regular meeting, I want to note that Councilmember Falcone and Councilmember Tim Chisholm are both joining us remotely. Clerk, will you please call the roll? Thank you, Madam Mayor. Councilmember Tim Chisholm. Here. Councilmember Arnold. Here. Councilmember Prem. Here. Councilmember Falcone. Here. Councilmember Pascal. Here. Deputy Mayor Black. Here. Mayor Curtis. Here. Our study sessions on three items tonight. First, we'll have an update on the intelligent transportation systems, traffic signals, and artificial intelligence. Second, we will have an update on the green loop implementation plan. And third, we will have a briefing on middle housing focused optimization. We expect to reconvene our regular meeting at 7 30. City manager. Okay, thank you. Yes, our first update is on intelligent transportation systems. We have a recommendation at the end. We're looking for some feedback on whether to consider some actions going forward. So that I'll turn over to Jennifer Palmer, our transportation engineering supervisor. Good evening, Madam Mayor, Deputy Mayor and Council members. I'm Jennifer Palmer, Transportation Engineering Supervisor. Tonight I have with me Stephen Padua, the transportation manager. Tonight we're here to give you some background information on Kirkland's ITS and traffic signal systems, and we're seeking council feedback on potential pilot programs to integrate AI with the city's ITS to enhance traffic flow and safety. The city's ITS advances the city's vision for a safe connected and multimodal transportation network. It aligns with our Vision Zero goals of zero transportation related deaths and serious injuries and a reduction in all crashes by 2035. And we get there by using a safe system approach, which is a multi-layered approach to transportation safety that acknowledges that humans make mistakes and reduces the risk of injuries within our transportation system. So we'll start with some definitions. ITS stands for intelligent transportation systems. This is basically it's an integrated system of advanced sensors, computers, electronics, and communications technology to help increase the safety and efficiency of our systems. A traffic signal is one element of that ITS. In during this, so it's basically the red, yellow, green that assigns alternating right of way at intersections for conflicting movements. During this presentation, you'll hear me refer to a signal. Usually I'm referring to a signalized intersection location. I don't mean just one traffic signal head, red, yellow, green. Just to clarify, moving forward. Some background on Kirkland's traffic signals. This number does not include the signals within Kirkland that are owned and operated by the Washington State Department of Transportation, namely around the I 405 freeway ramp terminal intersections. 59 of our signals are connected back to our Transportation Management Center, or TMC. This means we can monitor traffic flow and make real-time adjustments to traffic signal timing remotely from the TMC.